1939 lines
324 KiB
HTML
1939 lines
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<a href="glpk__solver_8cc.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno"> 1</span><span class="comment">// Copyright 2010-2021 Google LLC</span></div>
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<div class="line"><a id="l00002" name="l00002"></a><span class="lineno"> 2</span><span class="comment">// Licensed under the Apache License, Version 2.0 (the "License");</span></div>
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<div class="line"><a id="l00003" name="l00003"></a><span class="lineno"> 3</span><span class="comment">// you may not use this file except in compliance with the License.</span></div>
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<div class="line"><a id="l00004" name="l00004"></a><span class="lineno"> 4</span><span class="comment">// You may obtain a copy of the License at</span></div>
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<div class="line"><a id="l00005" name="l00005"></a><span class="lineno"> 5</span><span class="comment">//</span></div>
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<div class="line"><a id="l00006" name="l00006"></a><span class="lineno"> 6</span><span class="comment">// http://www.apache.org/licenses/LICENSE-2.0</span></div>
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<div class="line"><a id="l00007" name="l00007"></a><span class="lineno"> 7</span><span class="comment">//</span></div>
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<div class="line"><a id="l00008" name="l00008"></a><span class="lineno"> 8</span><span class="comment">// Unless required by applicable law or agreed to in writing, software</span></div>
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<div class="line"><a id="l00009" name="l00009"></a><span class="lineno"> 9</span><span class="comment">// distributed under the License is distributed on an "AS IS" BASIS,</span></div>
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<div class="line"><a id="l00010" name="l00010"></a><span class="lineno"> 10</span><span class="comment">// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span></div>
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<div class="line"><a id="l00011" name="l00011"></a><span class="lineno"> 11</span><span class="comment">// See the License for the specific language governing permissions and</span></div>
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<div class="line"><a id="l00012" name="l00012"></a><span class="lineno"> 12</span><span class="comment">// limitations under the License.</span></div>
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<div class="line"><a id="l00013" name="l00013"></a><span class="lineno"> 13</span> </div>
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<div class="line"><a id="l00014" name="l00014"></a><span class="lineno"> 14</span><span class="preprocessor">#include "<a class="code" href="glpk__solver_8h.html">ortools/math_opt/solvers/glpk_solver.h</a>"</span></div>
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<div class="line"><a id="l00015" name="l00015"></a><span class="lineno"> 15</span> </div>
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<div class="line"><a id="l00016" name="l00016"></a><span class="lineno"> 16</span><span class="preprocessor">#include <algorithm></span></div>
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<div class="line"><a id="l00017" name="l00017"></a><span class="lineno"> 17</span><span class="preprocessor">#include <atomic></span></div>
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<div class="line"><a id="l00018" name="l00018"></a><span class="lineno"> 18</span><span class="preprocessor">#include <cmath></span></div>
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<div class="line"><a id="l00019" name="l00019"></a><span class="lineno"> 19</span><span class="preprocessor">#include <cstddef></span></div>
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<div class="line"><a id="l00020" name="l00020"></a><span class="lineno"> 20</span><span class="preprocessor">#include <cstdint></span></div>
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<div class="line"><a id="l00021" name="l00021"></a><span class="lineno"> 21</span><span class="preprocessor">#include <functional></span></div>
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<div class="line"><a id="l00022" name="l00022"></a><span class="lineno"> 22</span><span class="preprocessor">#include <limits></span></div>
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<div class="line"><a id="l00023" name="l00023"></a><span class="lineno"> 23</span><span class="preprocessor">#include <memory></span></div>
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<div class="line"><a id="l00024" name="l00024"></a><span class="lineno"> 24</span><span class="preprocessor">#include <optional></span></div>
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<div class="line"><a id="l00025" name="l00025"></a><span class="lineno"> 25</span><span class="preprocessor">#include <string></span></div>
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<div class="line"><a id="l00026" name="l00026"></a><span class="lineno"> 26</span><span class="preprocessor">#include <type_traits></span></div>
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<div class="line"><a id="l00027" name="l00027"></a><span class="lineno"> 27</span><span class="preprocessor">#include <utility></span></div>
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<div class="line"><a id="l00028" name="l00028"></a><span class="lineno"> 28</span><span class="preprocessor">#include <vector></span></div>
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<div class="line"><a id="l00029" name="l00029"></a><span class="lineno"> 29</span> </div>
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<div class="line"><a id="l00030" name="l00030"></a><span class="lineno"> 30</span><span class="preprocessor">#include "absl/base/thread_annotations.h"</span></div>
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<div class="line"><a id="l00031" name="l00031"></a><span class="lineno"> 31</span><span class="preprocessor">#include "absl/container/flat_hash_map.h"</span></div>
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<div class="line"><a id="l00032" name="l00032"></a><span class="lineno"> 32</span><span class="preprocessor">#include "absl/memory/memory.h"</span></div>
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<div class="line"><a id="l00033" name="l00033"></a><span class="lineno"> 33</span><span class="preprocessor">#include "absl/status/status.h"</span></div>
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<div class="line"><a id="l00034" name="l00034"></a><span class="lineno"> 34</span><span class="preprocessor">#include "absl/status/statusor.h"</span></div>
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<div class="line"><a id="l00035" name="l00035"></a><span class="lineno"> 35</span><span class="preprocessor">#include "absl/strings/str_cat.h"</span></div>
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<div class="line"><a id="l00036" name="l00036"></a><span class="lineno"> 36</span><span class="preprocessor">#include "absl/strings/str_join.h"</span></div>
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<div class="line"><a id="l00037" name="l00037"></a><span class="lineno"> 37</span><span class="preprocessor">#include "absl/strings/string_view.h"</span></div>
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<div class="line"><a id="l00038" name="l00038"></a><span class="lineno"> 38</span><span class="preprocessor">#include "absl/synchronization/mutex.h"</span></div>
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<div class="line"><a id="l00039" name="l00039"></a><span class="lineno"> 39</span><span class="preprocessor">#include "absl/time/clock.h"</span></div>
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<div class="line"><a id="l00040" name="l00040"></a><span class="lineno"> 40</span><span class="preprocessor">#include "absl/time/time.h"</span></div>
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<div class="line"><a id="l00041" name="l00041"></a><span class="lineno"> 41</span><span class="preprocessor">#include "<a class="code" href="cleanup_8h.html">ortools/base/cleanup.h</a>"</span></div>
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<div class="line"><a id="l00042" name="l00042"></a><span class="lineno"> 42</span><span class="preprocessor">#include "<a class="code" href="base_2logging_8h.html">ortools/base/logging.h</a>"</span></div>
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<div class="line"><a id="l00043" name="l00043"></a><span class="lineno"> 43</span><span class="preprocessor">#include "<a class="code" href="protoutil_8h.html">ortools/base/protoutil.h</a>"</span></div>
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<div class="line"><a id="l00044" name="l00044"></a><span class="lineno"> 44</span><span class="preprocessor">#include "<a class="code" href="base_2status__macros_8h.html">ortools/base/status_macros.h</a>"</span></div>
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<div class="line"><a id="l00045" name="l00045"></a><span class="lineno"> 45</span><span class="preprocessor">#include "<a class="code" href="glpk__env__deleter_8h.html">ortools/glpk/glpk_env_deleter.h</a>"</span></div>
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<div class="line"><a id="l00046" name="l00046"></a><span class="lineno"> 46</span><span class="preprocessor">#include "<a class="code" href="glpk__formatters_8h.html">ortools/glpk/glpk_formatters.h</a>"</span></div>
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<div class="line"><a id="l00047" name="l00047"></a><span class="lineno"> 47</span><span class="preprocessor">#include "ortools/math_opt/callback.pb.h"</span></div>
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<div class="line"><a id="l00048" name="l00048"></a><span class="lineno"> 48</span><span class="preprocessor">#include "<a class="code" href="inverted__bounds_8h.html">ortools/math_opt/core/inverted_bounds.h</a>"</span></div>
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<div class="line"><a id="l00049" name="l00049"></a><span class="lineno"> 49</span><span class="preprocessor">#include "<a class="code" href="math__opt__proto__utils_8h.html">ortools/math_opt/core/math_opt_proto_utils.h</a>"</span></div>
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<div class="line"><a id="l00050" name="l00050"></a><span class="lineno"> 50</span><span class="preprocessor">#include "<a class="code" href="solve__interrupter_8h.html">ortools/math_opt/core/solve_interrupter.h</a>"</span></div>
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<div class="line"><a id="l00051" name="l00051"></a><span class="lineno"> 51</span><span class="preprocessor">#include "<a class="code" href="solver__interface_8h.html">ortools/math_opt/core/solver_interface.h</a>"</span></div>
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<div class="line"><a id="l00052" name="l00052"></a><span class="lineno"> 52</span><span class="preprocessor">#include "<a class="code" href="sparse__submatrix_8h.html">ortools/math_opt/core/sparse_submatrix.h</a>"</span></div>
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<div class="line"><a id="l00053" name="l00053"></a><span class="lineno"> 53</span><span class="preprocessor">#include "<a class="code" href="sparse__vector__view_8h.html">ortools/math_opt/core/sparse_vector_view.h</a>"</span></div>
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<div class="line"><a id="l00054" name="l00054"></a><span class="lineno"> 54</span><span class="preprocessor">#include "ortools/math_opt/model.pb.h"</span></div>
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<div class="line"><a id="l00055" name="l00055"></a><span class="lineno"> 55</span><span class="preprocessor">#include "ortools/math_opt/model_parameters.pb.h"</span></div>
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<div class="line"><a id="l00056" name="l00056"></a><span class="lineno"> 56</span><span class="preprocessor">#include "ortools/math_opt/model_update.pb.h"</span></div>
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<div class="line"><a id="l00057" name="l00057"></a><span class="lineno"> 57</span><span class="preprocessor">#include "ortools/math_opt/parameters.pb.h"</span></div>
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<div class="line"><a id="l00058" name="l00058"></a><span class="lineno"> 58</span><span class="preprocessor">#include "ortools/math_opt/result.pb.h"</span></div>
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||
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<div class="line"><a id="l00059" name="l00059"></a><span class="lineno"> 59</span><span class="preprocessor">#include "ortools/math_opt/solution.pb.h"</span></div>
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||
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<div class="line"><a id="l00060" name="l00060"></a><span class="lineno"> 60</span><span class="preprocessor">#include "<a class="code" href="rays_8h.html">ortools/math_opt/solvers/glpk/rays.h</a>"</span></div>
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||
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<div class="line"><a id="l00061" name="l00061"></a><span class="lineno"> 61</span><span class="preprocessor">#include "<a class="code" href="message__callback__data_8h.html">ortools/math_opt/solvers/message_callback_data.h</a>"</span></div>
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<div class="line"><a id="l00062" name="l00062"></a><span class="lineno"> 62</span><span class="preprocessor">#include "ortools/math_opt/sparse_containers.pb.h"</span></div>
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<div class="line"><a id="l00063" name="l00063"></a><span class="lineno"> 63</span><span class="preprocessor">#include "<a class="code" href="callback__validator_8h.html">ortools/math_opt/validators/callback_validator.h</a>"</span></div>
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||
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<div class="line"><a id="l00064" name="l00064"></a><span class="lineno"> 64</span><span class="preprocessor">#include "<a class="code" href="port_2proto__utils_8h.html">ortools/port/proto_utils.h</a>"</span></div>
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<div class="line"><a id="l00065" name="l00065"></a><span class="lineno"> 65</span> </div>
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<div class="line"><a id="l00066" name="l00066"></a><span class="lineno"> 66</span><span class="keyword">namespace </span><a class="code hl_namespace" href="namespaceoperations__research.html">operations_research</a> {</div>
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<div class="line"><a id="l00067" name="l00067"></a><span class="lineno"> 67</span><span class="keyword">namespace </span><a class="code hl_namespace" href="namespaceoperations__research_1_1math__opt.html">math_opt</a> {</div>
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<div class="line"><a id="l00068" name="l00068"></a><span class="lineno"> 68</span> </div>
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<div class="line"><a id="l00069" name="l00069"></a><span class="lineno"> 69</span><span class="keyword">namespace </span>{</div>
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<div class="line"><a id="l00070" name="l00070"></a><span class="lineno"> 70</span> </div>
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<div class="line"><a id="l00071" name="l00071"></a><span class="lineno"> 71</span><span class="keyword">constexpr</span> <span class="keywordtype">double</span> <a class="code hl_variable" href="namespaceoperations__research_1_1math__opt.html#ad9f50c9313b35cc1e8887057dc4d9645">kInf</a> = std::numeric_limits<double>::infinity();</div>
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<div class="line"><a id="l00072" name="l00072"></a><span class="lineno"> 72</span> </div>
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<div class="line"><a id="l00073" name="l00073"></a><span class="lineno"> 73</span><span class="comment">// Bounds of rows or columns.</span></div>
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<div class="line"><a id="l00074" name="l00074"></a><span class="lineno"> 74</span><span class="keyword">struct </span>Bounds {</div>
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<div class="line"><a id="l00075" name="l00075"></a><span class="lineno"><a class="line" href="glpk__solver_8cc.html#abb82b111deb51f3a5917cf8780fee484"> 75</a></span> <span class="keywordtype">double</span> <a class="code hl_variable" href="glpk__solver_8cc.html#abb82b111deb51f3a5917cf8780fee484">lower</a> = -<a class="code hl_variable" href="namespaceoperations__research_1_1math__opt.html#ad9f50c9313b35cc1e8887057dc4d9645">kInf</a>;</div>
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<div class="line"><a id="l00076" name="l00076"></a><span class="lineno"><a class="line" href="glpk__solver_8cc.html#ae0e265c074f457e193b30ff0d77c750b"> 76</a></span> <span class="keywordtype">double</span> <a class="code hl_variable" href="glpk__solver_8cc.html#ae0e265c074f457e193b30ff0d77c750b">upper</a> = <a class="code hl_variable" href="namespaceoperations__research_1_1math__opt.html#ad9f50c9313b35cc1e8887057dc4d9645">kInf</a>;</div>
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<div class="line"><a id="l00077" name="l00077"></a><span class="lineno"> 77</span>};</div>
|
||
|
|
<div class="line"><a id="l00078" name="l00078"></a><span class="lineno"> 78</span> </div>
|
||
|
|
<div class="line"><a id="l00079" name="l00079"></a><span class="lineno"> 79</span><span class="comment">// Sets either a row or a column bounds. The index k is the one-based index of</span></div>
|
||
|
|
<div class="line"><a id="l00080" name="l00080"></a><span class="lineno"> 80</span><span class="comment">// the row or the column.</span></div>
|
||
|
|
<div class="line"><a id="l00081" name="l00081"></a><span class="lineno"> 81</span><span class="comment">//</span></div>
|
||
|
|
<div class="line"><a id="l00082" name="l00082"></a><span class="lineno"> 82</span><span class="comment">// The Dimension type should be either GlpkSolver::Variable or</span></div>
|
||
|
|
<div class="line"><a id="l00083" name="l00083"></a><span class="lineno"> 83</span><span class="comment">// GlpkSolver::LinearConstraints.</span></div>
|
||
|
|
<div class="line"><a id="l00084" name="l00084"></a><span class="lineno"> 84</span><span class="comment">//</span></div>
|
||
|
|
<div class="line"><a id="l00085" name="l00085"></a><span class="lineno"> 85</span><span class="comment">// When Dimension::IsInteger() returns true, the bounds are rounded before being</span></div>
|
||
|
|
<div class="line"><a id="l00086" name="l00086"></a><span class="lineno"> 86</span><span class="comment">// applied which is mandatory for integer variables (solvers fail if a model</span></div>
|
||
|
|
<div class="line"><a id="l00087" name="l00087"></a><span class="lineno"> 87</span><span class="comment">// contains non-integer bounds for integer variables). Thus the integrality of</span></div>
|
||
|
|
<div class="line"><a id="l00088" name="l00088"></a><span class="lineno"> 88</span><span class="comment">// variables must be set/updated before calling this function.</span></div>
|
||
|
|
<div class="line"><a id="l00089" name="l00089"></a><span class="lineno"> 89</span><span class="keyword">template</span> <<span class="keyword">typename</span> Dimension></div>
|
||
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<div class="line"><a id="l00090" name="l00090"></a><span class="lineno"> 90</span><span class="keywordtype">void</span> SetBounds(glp_prob* <span class="keyword">const</span> problem, <span class="keyword">const</span> <span class="keywordtype">int</span> k, <span class="keyword">const</span> Bounds& <a class="code hl_variable" href="cp__model__solver_8cc.html#a06dad0852d85b0686e01c084207c03a7">bounds</a>) {</div>
|
||
|
|
<div class="line"><a id="l00091" name="l00091"></a><span class="lineno"> 91</span> <span class="comment">// GLPK wants integer bounds for integer variables.</span></div>
|
||
|
|
<div class="line"><a id="l00092" name="l00092"></a><span class="lineno"> 92</span> <span class="keyword">const</span> <span class="keywordtype">bool</span> is_integer = Dimension::IsInteger(problem, k);</div>
|
||
|
|
<div class="line"><a id="l00093" name="l00093"></a><span class="lineno"> 93</span> <span class="keyword">const</span> <span class="keywordtype">double</span> lb = is_integer ? std::ceil(<a class="code hl_variable" href="cp__model__solver_8cc.html#a06dad0852d85b0686e01c084207c03a7">bounds</a>.lower) : <a class="code hl_variable" href="cp__model__solver_8cc.html#a06dad0852d85b0686e01c084207c03a7">bounds</a>.lower;</div>
|
||
|
|
<div class="line"><a id="l00094" name="l00094"></a><span class="lineno"> 94</span> <span class="keyword">const</span> <span class="keywordtype">double</span> ub = is_integer ? std::floor(<a class="code hl_variable" href="cp__model__solver_8cc.html#a06dad0852d85b0686e01c084207c03a7">bounds</a>.upper) : <a class="code hl_variable" href="cp__model__solver_8cc.html#a06dad0852d85b0686e01c084207c03a7">bounds</a>.upper;</div>
|
||
|
|
<div class="line"><a id="l00095" name="l00095"></a><span class="lineno"> 95</span> <span class="keywordtype">int</span> type = GLP_FR;</div>
|
||
|
|
<div class="line"><a id="l00096" name="l00096"></a><span class="lineno"> 96</span> <span class="keywordflow">if</span> (std::isinf(lb) && std::isinf(ub)) {</div>
|
||
|
|
<div class="line"><a id="l00097" name="l00097"></a><span class="lineno"> 97</span> type = GLP_FR;</div>
|
||
|
|
<div class="line"><a id="l00098" name="l00098"></a><span class="lineno"> 98</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (std::isinf(lb)) {</div>
|
||
|
|
<div class="line"><a id="l00099" name="l00099"></a><span class="lineno"> 99</span> type = GLP_UP;</div>
|
||
|
|
<div class="line"><a id="l00100" name="l00100"></a><span class="lineno"> 100</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (std::isinf(ub)) {</div>
|
||
|
|
<div class="line"><a id="l00101" name="l00101"></a><span class="lineno"> 101</span> type = GLP_LO;</div>
|
||
|
|
<div class="line"><a id="l00102" name="l00102"></a><span class="lineno"> 102</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (lb == ub) {</div>
|
||
|
|
<div class="line"><a id="l00103" name="l00103"></a><span class="lineno"> 103</span> type = GLP_FX;</div>
|
||
|
|
<div class="line"><a id="l00104" name="l00104"></a><span class="lineno"> 104</span> } <span class="keywordflow">else</span> { <span class="comment">// Bounds not inf and not equal.</span></div>
|
||
|
|
<div class="line"><a id="l00105" name="l00105"></a><span class="lineno"> 105</span> type = GLP_DB;</div>
|
||
|
|
<div class="line"><a id="l00106" name="l00106"></a><span class="lineno"> 106</span> }</div>
|
||
|
|
<div class="line"><a id="l00107" name="l00107"></a><span class="lineno"> 107</span> Dimension::kSetBounds(problem, k, type, lb, ub);</div>
|
||
|
|
<div class="line"><a id="l00108" name="l00108"></a><span class="lineno"> 108</span>}</div>
|
||
|
|
<div class="line"><a id="l00109" name="l00109"></a><span class="lineno"> 109</span> </div>
|
||
|
|
<div class="line"><a id="l00110" name="l00110"></a><span class="lineno"> 110</span><span class="comment">// Gets either a row or a column bounds. The index k is the one-based index of</span></div>
|
||
|
|
<div class="line"><a id="l00111" name="l00111"></a><span class="lineno"> 111</span><span class="comment">// the row or the column.</span></div>
|
||
|
|
<div class="line"><a id="l00112" name="l00112"></a><span class="lineno"> 112</span><span class="comment">//</span></div>
|
||
|
|
<div class="line"><a id="l00113" name="l00113"></a><span class="lineno"> 113</span><span class="comment">// The Dimension type should be either GlpkSolver::Variable or</span></div>
|
||
|
|
<div class="line"><a id="l00114" name="l00114"></a><span class="lineno"> 114</span><span class="comment">// GlpkSolver::LinearConstraints.</span></div>
|
||
|
|
<div class="line"><a id="l00115" name="l00115"></a><span class="lineno"> 115</span><span class="keyword">template</span> <<span class="keyword">typename</span> Dimension></div>
|
||
|
|
<div class="line"><a id="l00116" name="l00116"></a><span class="lineno"> 116</span>Bounds GetBounds(glp_prob* <span class="keyword">const</span> problem, <span class="keyword">const</span> <span class="keywordtype">int</span> k) {</div>
|
||
|
|
<div class="line"><a id="l00117" name="l00117"></a><span class="lineno"> 117</span> <span class="keyword">const</span> <span class="keywordtype">int</span> type = Dimension::kGetType(problem, k);</div>
|
||
|
|
<div class="line"><a id="l00118" name="l00118"></a><span class="lineno"> 118</span> <span class="keywordflow">switch</span> (type) {</div>
|
||
|
|
<div class="line"><a id="l00119" name="l00119"></a><span class="lineno"> 119</span> <span class="keywordflow">case</span> GLP_FR:</div>
|
||
|
|
<div class="line"><a id="l00120" name="l00120"></a><span class="lineno"> 120</span> <span class="keywordflow">return</span> {};</div>
|
||
|
|
<div class="line"><a id="l00121" name="l00121"></a><span class="lineno"> 121</span> <span class="keywordflow">case</span> GLP_LO:</div>
|
||
|
|
<div class="line"><a id="l00122" name="l00122"></a><span class="lineno"> 122</span> <span class="keywordflow">return</span> {.lower = Dimension::kGetLb(problem, k)};</div>
|
||
|
|
<div class="line"><a id="l00123" name="l00123"></a><span class="lineno"> 123</span> <span class="keywordflow">case</span> GLP_UP:</div>
|
||
|
|
<div class="line"><a id="l00124" name="l00124"></a><span class="lineno"> 124</span> <span class="keywordflow">return</span> {.upper = Dimension::kGetUb(problem, k)};</div>
|
||
|
|
<div class="line"><a id="l00125" name="l00125"></a><span class="lineno"> 125</span> <span class="keywordflow">case</span> GLP_DB:</div>
|
||
|
|
<div class="line"><a id="l00126" name="l00126"></a><span class="lineno"> 126</span> <span class="keywordflow">case</span> GLP_FX:</div>
|
||
|
|
<div class="line"><a id="l00127" name="l00127"></a><span class="lineno"> 127</span> <span class="keywordflow">return</span> {.lower = Dimension::kGetLb(problem, k),</div>
|
||
|
|
<div class="line"><a id="l00128" name="l00128"></a><span class="lineno"> 128</span> .upper = Dimension::kGetUb(problem, k)};</div>
|
||
|
|
<div class="line"><a id="l00129" name="l00129"></a><span class="lineno"> 129</span> <span class="keywordflow">default</span>:</div>
|
||
|
|
<div class="line"><a id="l00130" name="l00130"></a><span class="lineno"> 130</span> <a class="code hl_define" href="base_2logging_8h.html#accad43a85d781d53381cd53a9894b6ae">LOG</a>(<a class="code hl_variable" href="log__severity_8h.html#acdd38e3c9f22f127d7776920e3079eda">FATAL</a>) << type;</div>
|
||
|
|
<div class="line"><a id="l00131" name="l00131"></a><span class="lineno"> 131</span> }</div>
|
||
|
|
<div class="line"><a id="l00132" name="l00132"></a><span class="lineno"> 132</span>}</div>
|
||
|
|
<div class="line"><a id="l00133" name="l00133"></a><span class="lineno"> 133</span> </div>
|
||
|
|
<div class="line"><a id="l00134" name="l00134"></a><span class="lineno"> 134</span><span class="comment">// Updates the bounds of either rows or columns.</span></div>
|
||
|
|
<div class="line"><a id="l00135" name="l00135"></a><span class="lineno"> 135</span><span class="comment">//</span></div>
|
||
|
|
<div class="line"><a id="l00136" name="l00136"></a><span class="lineno"> 136</span><span class="comment">// The Dimension type should be either GlpkSolver::Variable or</span></div>
|
||
|
|
<div class="line"><a id="l00137" name="l00137"></a><span class="lineno"> 137</span><span class="comment">// GlpkSolver::LinearConstraints.</span></div>
|
||
|
|
<div class="line"><a id="l00138" name="l00138"></a><span class="lineno"> 138</span><span class="comment">//</span></div>
|
||
|
|
<div class="line"><a id="l00139" name="l00139"></a><span class="lineno"> 139</span><span class="comment">// When Dimension::IsInteger() returns true, the bounds are rounded before being</span></div>
|
||
|
|
<div class="line"><a id="l00140" name="l00140"></a><span class="lineno"> 140</span><span class="comment">// applied which is mandatory for integer variables (solvers fail if a model</span></div>
|
||
|
|
<div class="line"><a id="l00141" name="l00141"></a><span class="lineno"> 141</span><span class="comment">// contains non-integer bounds for integer variables). Thus the integrality of</span></div>
|
||
|
|
<div class="line"><a id="l00142" name="l00142"></a><span class="lineno"> 142</span><span class="comment">// variables must be updated before calling this function.</span></div>
|
||
|
|
<div class="line"><a id="l00143" name="l00143"></a><span class="lineno"> 143</span><span class="keyword">template</span> <<span class="keyword">typename</span> Dimension></div>
|
||
|
|
<div class="line"><a id="l00144" name="l00144"></a><span class="lineno"> 144</span><span class="keywordtype">void</span> UpdateBounds(glp_prob* <span class="keyword">const</span> problem, <span class="keyword">const</span> Dimension& dimension,</div>
|
||
|
|
<div class="line"><a id="l00145" name="l00145"></a><span class="lineno"> 145</span> <span class="keyword">const</span> SparseDoubleVectorProto& lower_bounds_proto,</div>
|
||
|
|
<div class="line"><a id="l00146" name="l00146"></a><span class="lineno"> 146</span> <span class="keyword">const</span> SparseDoubleVectorProto& upper_bounds_proto) {</div>
|
||
|
|
<div class="line"><a id="l00147" name="l00147"></a><span class="lineno"> 147</span> <span class="keyword">const</span> <span class="keyword">auto</span> <a class="code hl_variable" href="sat_2lp__utils_8cc.html#a561d7bf12fc7674b3fe0ad2ba2e175a0">lower_bounds</a> = <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#a80e158d48db32a3bbbe915179b36e405">MakeView</a>(lower_bounds_proto);</div>
|
||
|
|
<div class="line"><a id="l00148" name="l00148"></a><span class="lineno"> 148</span> <span class="keyword">const</span> <span class="keyword">auto</span> <a class="code hl_variable" href="sat_2lp__utils_8cc.html#a88215c8581662c40eec0fb8621c44af3">upper_bounds</a> = <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#a80e158d48db32a3bbbe915179b36e405">MakeView</a>(upper_bounds_proto);</div>
|
||
|
|
<div class="line"><a id="l00149" name="l00149"></a><span class="lineno"> 149</span> </div>
|
||
|
|
<div class="line"><a id="l00150" name="l00150"></a><span class="lineno"> 150</span> <span class="keyword">auto</span> current_lower_bound = <a class="code hl_variable" href="sat_2lp__utils_8cc.html#a561d7bf12fc7674b3fe0ad2ba2e175a0">lower_bounds</a>.begin();</div>
|
||
|
|
<div class="line"><a id="l00151" name="l00151"></a><span class="lineno"> 151</span> <span class="keyword">auto</span> current_upper_bound = <a class="code hl_variable" href="sat_2lp__utils_8cc.html#a88215c8581662c40eec0fb8621c44af3">upper_bounds</a>.begin();</div>
|
||
|
|
<div class="line"><a id="l00152" name="l00152"></a><span class="lineno"> 152</span> <span class="keywordflow">for</span> (;;) {</div>
|
||
|
|
<div class="line"><a id="l00153" name="l00153"></a><span class="lineno"> 153</span> <span class="comment">// Get the smallest unvisited id from either sparse container.</span></div>
|
||
|
|
<div class="line"><a id="l00154" name="l00154"></a><span class="lineno"> 154</span> std::optional<int64_t> next_id;</div>
|
||
|
|
<div class="line"><a id="l00155" name="l00155"></a><span class="lineno"> 155</span> <span class="keywordflow">if</span> (current_lower_bound != <a class="code hl_variable" href="sat_2lp__utils_8cc.html#a561d7bf12fc7674b3fe0ad2ba2e175a0">lower_bounds</a>.end()) {</div>
|
||
|
|
<div class="line"><a id="l00156" name="l00156"></a><span class="lineno"> 156</span> <span class="keywordflow">if</span> (!next_id.has_value() || current_lower_bound->first < *next_id) {</div>
|
||
|
|
<div class="line"><a id="l00157" name="l00157"></a><span class="lineno"> 157</span> next_id = current_lower_bound->first;</div>
|
||
|
|
<div class="line"><a id="l00158" name="l00158"></a><span class="lineno"> 158</span> }</div>
|
||
|
|
<div class="line"><a id="l00159" name="l00159"></a><span class="lineno"> 159</span> }</div>
|
||
|
|
<div class="line"><a id="l00160" name="l00160"></a><span class="lineno"> 160</span> <span class="keywordflow">if</span> (current_upper_bound != <a class="code hl_variable" href="sat_2lp__utils_8cc.html#a88215c8581662c40eec0fb8621c44af3">upper_bounds</a>.end()) {</div>
|
||
|
|
<div class="line"><a id="l00161" name="l00161"></a><span class="lineno"> 161</span> <span class="keywordflow">if</span> (!next_id.has_value() || current_upper_bound->first < *next_id) {</div>
|
||
|
|
<div class="line"><a id="l00162" name="l00162"></a><span class="lineno"> 162</span> next_id = current_upper_bound->first;</div>
|
||
|
|
<div class="line"><a id="l00163" name="l00163"></a><span class="lineno"> 163</span> }</div>
|
||
|
|
<div class="line"><a id="l00164" name="l00164"></a><span class="lineno"> 164</span> }</div>
|
||
|
|
<div class="line"><a id="l00165" name="l00165"></a><span class="lineno"> 165</span> </div>
|
||
|
|
<div class="line"><a id="l00166" name="l00166"></a><span class="lineno"> 166</span> <span class="keywordflow">if</span> (!next_id.has_value()) {</div>
|
||
|
|
<div class="line"><a id="l00167" name="l00167"></a><span class="lineno"> 167</span> <span class="comment">// We exhausted all collections.</span></div>
|
||
|
|
<div class="line"><a id="l00168" name="l00168"></a><span class="lineno"> 168</span> <span class="keywordflow">break</span>;</div>
|
||
|
|
<div class="line"><a id="l00169" name="l00169"></a><span class="lineno"> 169</span> }</div>
|
||
|
|
<div class="line"><a id="l00170" name="l00170"></a><span class="lineno"> 170</span> </div>
|
||
|
|
<div class="line"><a id="l00171" name="l00171"></a><span class="lineno"> 171</span> <span class="comment">// Find the corresponding row or column.</span></div>
|
||
|
|
<div class="line"><a id="l00172" name="l00172"></a><span class="lineno"> 172</span> <span class="keyword">const</span> <span class="keywordtype">int</span> row_or_col_index = dimension.id_to_index.at(*next_id);</div>
|
||
|
|
<div class="line"><a id="l00173" name="l00173"></a><span class="lineno"> 173</span> <a class="code hl_define" href="base_2logging_8h.html#a7c0ce053b28d53aa4eaf3eb7fb71663b">CHECK_EQ</a>(dimension.ids[row_or_col_index - 1], *next_id);</div>
|
||
|
|
<div class="line"><a id="l00174" name="l00174"></a><span class="lineno"> 174</span> </div>
|
||
|
|
<div class="line"><a id="l00175" name="l00175"></a><span class="lineno"> 175</span> <span class="comment">// Get the updated values for bounds and move the iterator for consumed</span></div>
|
||
|
|
<div class="line"><a id="l00176" name="l00176"></a><span class="lineno"> 176</span> <span class="comment">// updates.</span></div>
|
||
|
|
<div class="line"><a id="l00177" name="l00177"></a><span class="lineno"> 177</span> Bounds <a class="code hl_variable" href="cp__model__solver_8cc.html#a06dad0852d85b0686e01c084207c03a7">bounds</a> = GetBounds<Dimension>(problem,</div>
|
||
|
|
<div class="line"><a id="l00178" name="l00178"></a><span class="lineno"> 178</span> <span class="comment">/*k=*/</span>row_or_col_index);</div>
|
||
|
|
<div class="line"><a id="l00179" name="l00179"></a><span class="lineno"> 179</span> <span class="keywordflow">if</span> (current_lower_bound != <a class="code hl_variable" href="sat_2lp__utils_8cc.html#a561d7bf12fc7674b3fe0ad2ba2e175a0">lower_bounds</a>.end() &&</div>
|
||
|
|
<div class="line"><a id="l00180" name="l00180"></a><span class="lineno"> 180</span> current_lower_bound->first == *next_id) {</div>
|
||
|
|
<div class="line"><a id="l00181" name="l00181"></a><span class="lineno"> 181</span> <a class="code hl_variable" href="cp__model__solver_8cc.html#a06dad0852d85b0686e01c084207c03a7">bounds</a>.lower = current_lower_bound->second;</div>
|
||
|
|
<div class="line"><a id="l00182" name="l00182"></a><span class="lineno"> 182</span> ++current_lower_bound;</div>
|
||
|
|
<div class="line"><a id="l00183" name="l00183"></a><span class="lineno"> 183</span> }</div>
|
||
|
|
<div class="line"><a id="l00184" name="l00184"></a><span class="lineno"> 184</span> <span class="keywordflow">if</span> (current_upper_bound != <a class="code hl_variable" href="sat_2lp__utils_8cc.html#a88215c8581662c40eec0fb8621c44af3">upper_bounds</a>.end() &&</div>
|
||
|
|
<div class="line"><a id="l00185" name="l00185"></a><span class="lineno"> 185</span> current_upper_bound->first == *next_id) {</div>
|
||
|
|
<div class="line"><a id="l00186" name="l00186"></a><span class="lineno"> 186</span> <a class="code hl_variable" href="cp__model__solver_8cc.html#a06dad0852d85b0686e01c084207c03a7">bounds</a>.upper = current_upper_bound->second;</div>
|
||
|
|
<div class="line"><a id="l00187" name="l00187"></a><span class="lineno"> 187</span> ++current_upper_bound;</div>
|
||
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<div class="line"><a id="l00188" name="l00188"></a><span class="lineno"> 188</span> }</div>
|
||
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<div class="line"><a id="l00189" name="l00189"></a><span class="lineno"> 189</span> SetBounds<Dimension>(problem, <span class="comment">/*k=*/</span>row_or_col_index,</div>
|
||
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|
<div class="line"><a id="l00190" name="l00190"></a><span class="lineno"> 190</span> <span class="comment">/*bounds=*/</span><a class="code hl_variable" href="cp__model__solver_8cc.html#a06dad0852d85b0686e01c084207c03a7">bounds</a>);</div>
|
||
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|
<div class="line"><a id="l00191" name="l00191"></a><span class="lineno"> 191</span> }</div>
|
||
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<div class="line"><a id="l00192" name="l00192"></a><span class="lineno"> 192</span> </div>
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<div class="line"><a id="l00193" name="l00193"></a><span class="lineno"> 193</span> <a class="code hl_define" href="base_2logging_8h.html#a3e1cfef60e774a81f30eaddf26a3a274">CHECK</a>(current_lower_bound == <a class="code hl_variable" href="sat_2lp__utils_8cc.html#a561d7bf12fc7674b3fe0ad2ba2e175a0">lower_bounds</a>.end());</div>
|
||
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|
<div class="line"><a id="l00194" name="l00194"></a><span class="lineno"> 194</span> <a class="code hl_define" href="base_2logging_8h.html#a3e1cfef60e774a81f30eaddf26a3a274">CHECK</a>(current_upper_bound == <a class="code hl_variable" href="sat_2lp__utils_8cc.html#a88215c8581662c40eec0fb8621c44af3">upper_bounds</a>.end());</div>
|
||
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|
<div class="line"><a id="l00195" name="l00195"></a><span class="lineno"> 195</span>}</div>
|
||
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|
<div class="line"><a id="l00196" name="l00196"></a><span class="lineno"> 196</span> </div>
|
||
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|
<div class="line"><a id="l00197" name="l00197"></a><span class="lineno"> 197</span><span class="comment">// Deletes in-place the data corresponding to the indices of rows/cols.</span></div>
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||
|
|
<div class="line"><a id="l00198" name="l00198"></a><span class="lineno"> 198</span><span class="comment">//</span></div>
|
||
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<div class="line"><a id="l00199" name="l00199"></a><span class="lineno"> 199</span><span class="comment">// The vector of one-based indices sorted_deleted_rows_or_cols is expected to be</span></div>
|
||
|
|
<div class="line"><a id="l00200" name="l00200"></a><span class="lineno"> 200</span><span class="comment">// sorted and its first element of index 0 is ignored (this is the GLPK</span></div>
|
||
|
|
<div class="line"><a id="l00201" name="l00201"></a><span class="lineno"> 201</span><span class="comment">// convention).</span></div>
|
||
|
|
<div class="line"><a id="l00202" name="l00202"></a><span class="lineno"> 202</span><span class="keyword">template</span> <<span class="keyword">typename</span> V></div>
|
||
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<div class="line"><a id="l00203" name="l00203"></a><span class="lineno"> 203</span><span class="keywordtype">void</span> DeleteRowOrColData(std::vector<V>& data,</div>
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||
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<div class="line"><a id="l00204" name="l00204"></a><span class="lineno"> 204</span> <span class="keyword">const</span> std::vector<int>& sorted_deleted_rows_or_cols) {</div>
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||
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|
<div class="line"><a id="l00205" name="l00205"></a><span class="lineno"> 205</span> <span class="keywordflow">if</span> (sorted_deleted_rows_or_cols.empty()) {</div>
|
||
|
|
<div class="line"><a id="l00206" name="l00206"></a><span class="lineno"> 206</span> <span class="comment">// Avoid looping when not necessary.</span></div>
|
||
|
|
<div class="line"><a id="l00207" name="l00207"></a><span class="lineno"> 207</span> <span class="keywordflow">return</span>;</div>
|
||
|
|
<div class="line"><a id="l00208" name="l00208"></a><span class="lineno"> 208</span> }</div>
|
||
|
|
<div class="line"><a id="l00209" name="l00209"></a><span class="lineno"> 209</span> </div>
|
||
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|
<div class="line"><a id="l00210" name="l00210"></a><span class="lineno"> 210</span> std::size_t next_insertion_point = 0;</div>
|
||
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<div class="line"><a id="l00211" name="l00211"></a><span class="lineno"> 211</span> std::size_t current_row_or_col = 0;</div>
|
||
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|
<div class="line"><a id="l00212" name="l00212"></a><span class="lineno"> 212</span> <span class="keywordflow">for</span> (std::size_t i = 1; i < sorted_deleted_rows_or_cols.size(); ++i) {</div>
|
||
|
|
<div class="line"><a id="l00213" name="l00213"></a><span class="lineno"> 213</span> <span class="keyword">const</span> <span class="keywordtype">int</span> deleted_row_or_col = sorted_deleted_rows_or_cols[i];</div>
|
||
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|
<div class="line"><a id="l00214" name="l00214"></a><span class="lineno"> 214</span> <span class="keywordflow">for</span> (; current_row_or_col + 1 < deleted_row_or_col;</div>
|
||
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<div class="line"><a id="l00215" name="l00215"></a><span class="lineno"> 215</span> ++current_row_or_col, ++next_insertion_point) {</div>
|
||
|
|
<div class="line"><a id="l00216" name="l00216"></a><span class="lineno"> 216</span> <a class="code hl_define" href="base_2logging_8h.html#ab62f5ed8f2d48e29802be0cbbcd1359a">DCHECK_LT</a>(current_row_or_col, data.size());</div>
|
||
|
|
<div class="line"><a id="l00217" name="l00217"></a><span class="lineno"> 217</span> data[next_insertion_point] = data[current_row_or_col];</div>
|
||
|
|
<div class="line"><a id="l00218" name="l00218"></a><span class="lineno"> 218</span> }</div>
|
||
|
|
<div class="line"><a id="l00219" name="l00219"></a><span class="lineno"> 219</span> <span class="comment">// Skip the deleted row/col.</span></div>
|
||
|
|
<div class="line"><a id="l00220" name="l00220"></a><span class="lineno"> 220</span> ++current_row_or_col;</div>
|
||
|
|
<div class="line"><a id="l00221" name="l00221"></a><span class="lineno"> 221</span> }</div>
|
||
|
|
<div class="line"><a id="l00222" name="l00222"></a><span class="lineno"> 222</span> <span class="keywordflow">for</span> (; current_row_or_col < data.size();</div>
|
||
|
|
<div class="line"><a id="l00223" name="l00223"></a><span class="lineno"> 223</span> ++current_row_or_col, ++next_insertion_point) {</div>
|
||
|
|
<div class="line"><a id="l00224" name="l00224"></a><span class="lineno"> 224</span> data[next_insertion_point] = data[current_row_or_col];</div>
|
||
|
|
<div class="line"><a id="l00225" name="l00225"></a><span class="lineno"> 225</span> }</div>
|
||
|
|
<div class="line"><a id="l00226" name="l00226"></a><span class="lineno"> 226</span> data.resize(next_insertion_point);</div>
|
||
|
|
<div class="line"><a id="l00227" name="l00227"></a><span class="lineno"> 227</span>}</div>
|
||
|
|
<div class="line"><a id="l00228" name="l00228"></a><span class="lineno"> 228</span> </div>
|
||
|
|
<div class="line"><a id="l00229" name="l00229"></a><span class="lineno"> 229</span><span class="comment">// Deletes the row or cols of the GLPK problem and returns their indices. As a</span></div>
|
||
|
|
<div class="line"><a id="l00230" name="l00230"></a><span class="lineno"> 230</span><span class="comment">// side effect it updates dimension.ids and dimension.id_to_index.</span></div>
|
||
|
|
<div class="line"><a id="l00231" name="l00231"></a><span class="lineno"> 231</span><span class="comment">//</span></div>
|
||
|
|
<div class="line"><a id="l00232" name="l00232"></a><span class="lineno"> 232</span><span class="comment">// The Dimension type should be either GlpkSolver::Variable or</span></div>
|
||
|
|
<div class="line"><a id="l00233" name="l00233"></a><span class="lineno"> 233</span><span class="comment">// GlpkSolver::LinearConstraints.</span></div>
|
||
|
|
<div class="line"><a id="l00234" name="l00234"></a><span class="lineno"> 234</span><span class="comment">//</span></div>
|
||
|
|
<div class="line"><a id="l00235" name="l00235"></a><span class="lineno"> 235</span><span class="comment">// The returned vector is sorted and the first element (index 0) must be ignored</span></div>
|
||
|
|
<div class="line"><a id="l00236" name="l00236"></a><span class="lineno"> 236</span><span class="comment">// (this is the GLPK convention). It can be used with DeleteRowOrColData().</span></div>
|
||
|
|
<div class="line"><a id="l00237" name="l00237"></a><span class="lineno"> 237</span><span class="keyword">template</span> <<span class="keyword">typename</span> Dimension></div>
|
||
|
|
<div class="line"><a id="l00238" name="l00238"></a><span class="lineno"> 238</span>std::vector<int> DeleteRowsOrCols(</div>
|
||
|
|
<div class="line"><a id="l00239" name="l00239"></a><span class="lineno"> 239</span> glp_prob* <span class="keyword">const</span> problem, Dimension& dimension,</div>
|
||
|
|
<div class="line"><a id="l00240" name="l00240"></a><span class="lineno"> 240</span> <span class="keyword">const</span> google::protobuf::RepeatedField<int64_t>& deleted_ids) {</div>
|
||
|
|
<div class="line"><a id="l00241" name="l00241"></a><span class="lineno"> 241</span> <span class="keywordflow">if</span> (deleted_ids.empty()) {</div>
|
||
|
|
<div class="line"><a id="l00242" name="l00242"></a><span class="lineno"> 242</span> <span class="comment">// This is not only an optimization. Functions glp_del_rows() and</span></div>
|
||
|
|
<div class="line"><a id="l00243" name="l00243"></a><span class="lineno"> 243</span> <span class="comment">// glp_del_cols() fails if the number of deletion is 0.</span></div>
|
||
|
|
<div class="line"><a id="l00244" name="l00244"></a><span class="lineno"> 244</span> <span class="keywordflow">return</span> {};</div>
|
||
|
|
<div class="line"><a id="l00245" name="l00245"></a><span class="lineno"> 245</span> }</div>
|
||
|
|
<div class="line"><a id="l00246" name="l00246"></a><span class="lineno"> 246</span> </div>
|
||
|
|
<div class="line"><a id="l00247" name="l00247"></a><span class="lineno"> 247</span> <span class="comment">// Delete GLPK rows or columns.</span></div>
|
||
|
|
<div class="line"><a id="l00248" name="l00248"></a><span class="lineno"> 248</span> std::vector<int> deleted_rows_or_cols;</div>
|
||
|
|
<div class="line"><a id="l00249" name="l00249"></a><span class="lineno"> 249</span> <span class="comment">// Functions glp_del_rows() and glp_del_cols() only use values in ranges</span></div>
|
||
|
|
<div class="line"><a id="l00250" name="l00250"></a><span class="lineno"> 250</span> <span class="comment">// [1,n]. The first element is not used.</span></div>
|
||
|
|
<div class="line"><a id="l00251" name="l00251"></a><span class="lineno"> 251</span> deleted_rows_or_cols.reserve(deleted_ids.size() + 1);</div>
|
||
|
|
<div class="line"><a id="l00252" name="l00252"></a><span class="lineno"> 252</span> deleted_rows_or_cols.push_back(-1);</div>
|
||
|
|
<div class="line"><a id="l00253" name="l00253"></a><span class="lineno"> 253</span> <span class="keywordflow">for</span> (<span class="keyword">const</span> int64_t deleted_id : deleted_ids) {</div>
|
||
|
|
<div class="line"><a id="l00254" name="l00254"></a><span class="lineno"> 254</span> deleted_rows_or_cols.push_back(dimension.id_to_index.at(deleted_id));</div>
|
||
|
|
<div class="line"><a id="l00255" name="l00255"></a><span class="lineno"> 255</span> }</div>
|
||
|
|
<div class="line"><a id="l00256" name="l00256"></a><span class="lineno"> 256</span> Dimension::kDelElts(problem, deleted_rows_or_cols.size() - 1,</div>
|
||
|
|
<div class="line"><a id="l00257" name="l00257"></a><span class="lineno"> 257</span> deleted_rows_or_cols.data());</div>
|
||
|
|
<div class="line"><a id="l00258" name="l00258"></a><span class="lineno"> 258</span> </div>
|
||
|
|
<div class="line"><a id="l00259" name="l00259"></a><span class="lineno"> 259</span> <span class="comment">// Since deleted_ids are in strictly increasing order and we allocate</span></div>
|
||
|
|
<div class="line"><a id="l00260" name="l00260"></a><span class="lineno"> 260</span> <span class="comment">// rows/cols in orders of MathOpt ids; deleted_rows_or_cols should also be</span></div>
|
||
|
|
<div class="line"><a id="l00261" name="l00261"></a><span class="lineno"> 261</span> <span class="comment">// sorted.</span></div>
|
||
|
|
<div class="line"><a id="l00262" name="l00262"></a><span class="lineno"> 262</span> <a class="code hl_define" href="base_2logging_8h.html#a3e1cfef60e774a81f30eaddf26a3a274">CHECK</a>(</div>
|
||
|
|
<div class="line"><a id="l00263" name="l00263"></a><span class="lineno"> 263</span> std::is_sorted(deleted_rows_or_cols.begin(), deleted_rows_or_cols.end()));</div>
|
||
|
|
<div class="line"><a id="l00264" name="l00264"></a><span class="lineno"> 264</span> </div>
|
||
|
|
<div class="line"><a id="l00265" name="l00265"></a><span class="lineno"> 265</span> <span class="comment">// Update the ids vector.</span></div>
|
||
|
|
<div class="line"><a id="l00266" name="l00266"></a><span class="lineno"> 266</span> DeleteRowOrColData(dimension.ids, deleted_rows_or_cols);</div>
|
||
|
|
<div class="line"><a id="l00267" name="l00267"></a><span class="lineno"> 267</span> </div>
|
||
|
|
<div class="line"><a id="l00268" name="l00268"></a><span class="lineno"> 268</span> <span class="comment">// Update the id_to_index map.</span></div>
|
||
|
|
<div class="line"><a id="l00269" name="l00269"></a><span class="lineno"> 269</span> <span class="keywordflow">for</span> (<span class="keyword">const</span> int64_t deleted_id : deleted_ids) {</div>
|
||
|
|
<div class="line"><a id="l00270" name="l00270"></a><span class="lineno"> 270</span> <a class="code hl_define" href="base_2logging_8h.html#a3e1cfef60e774a81f30eaddf26a3a274">CHECK</a>(dimension.id_to_index.erase(deleted_id));</div>
|
||
|
|
<div class="line"><a id="l00271" name="l00271"></a><span class="lineno"> 271</span> }</div>
|
||
|
|
<div class="line"><a id="l00272" name="l00272"></a><span class="lineno"> 272</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < dimension.ids.size(); ++i) {</div>
|
||
|
|
<div class="line"><a id="l00273" name="l00273"></a><span class="lineno"> 273</span> dimension.id_to_index.at(dimension.ids[i]) = i + 1;</div>
|
||
|
|
<div class="line"><a id="l00274" name="l00274"></a><span class="lineno"> 274</span> }</div>
|
||
|
|
<div class="line"><a id="l00275" name="l00275"></a><span class="lineno"> 275</span> </div>
|
||
|
|
<div class="line"><a id="l00276" name="l00276"></a><span class="lineno"> 276</span> <span class="keywordflow">return</span> deleted_rows_or_cols;</div>
|
||
|
|
<div class="line"><a id="l00277" name="l00277"></a><span class="lineno"> 277</span>}</div>
|
||
|
|
<div class="line"><a id="l00278" name="l00278"></a><span class="lineno"> 278</span> </div>
|
||
|
|
<div class="line"><a id="l00279" name="l00279"></a><span class="lineno"> 279</span><span class="comment">// Translates the input MathOpt indices in row/column GLPK indices to use with</span></div>
|
||
|
|
<div class="line"><a id="l00280" name="l00280"></a><span class="lineno"> 280</span><span class="comment">// glp_load_matrix(). The returned vector first element is always 0 and unused</span></div>
|
||
|
|
<div class="line"><a id="l00281" name="l00281"></a><span class="lineno"> 281</span><span class="comment">// as it is required by GLPK (which uses one-based indices for arrays as well).</span></div>
|
||
|
|
<div class="line"><a id="l00282" name="l00282"></a><span class="lineno"> 282</span><span class="comment">//</span></div>
|
||
|
|
<div class="line"><a id="l00283" name="l00283"></a><span class="lineno"> 283</span><span class="comment">// The id_to_index is supposed to contain GLPK's one-based indices for rows and</span></div>
|
||
|
|
<div class="line"><a id="l00284" name="l00284"></a><span class="lineno"> 284</span><span class="comment">// columns.</span></div>
|
||
|
|
<div class="line"><a id="l00285" name="l00285"></a><span class="lineno"> 285</span>std::vector<int> MatrixIds(</div>
|
||
|
|
<div class="line"><a id="l00286" name="l00286"></a><span class="lineno"> 286</span> <span class="keyword">const</span> google::protobuf::RepeatedField<int64_t>& proto_ids,</div>
|
||
|
|
<div class="line"><a id="l00287" name="l00287"></a><span class="lineno"> 287</span> <span class="keyword">const</span> absl::flat_hash_map<int64_t, int>& id_to_index) {</div>
|
||
|
|
<div class="line"><a id="l00288" name="l00288"></a><span class="lineno"> 288</span> std::vector<int> ids;</div>
|
||
|
|
<div class="line"><a id="l00289" name="l00289"></a><span class="lineno"> 289</span> ids.reserve(proto_ids.size() + 1);</div>
|
||
|
|
<div class="line"><a id="l00290" name="l00290"></a><span class="lineno"> 290</span> <span class="comment">// First item (index 0) is not used by GLPK.</span></div>
|
||
|
|
<div class="line"><a id="l00291" name="l00291"></a><span class="lineno"> 291</span> ids.push_back(0);</div>
|
||
|
|
<div class="line"><a id="l00292" name="l00292"></a><span class="lineno"> 292</span> <span class="keywordflow">for</span> (<span class="keyword">const</span> int64_t proto_id : proto_ids) {</div>
|
||
|
|
<div class="line"><a id="l00293" name="l00293"></a><span class="lineno"> 293</span> ids.push_back(id_to_index.at(proto_id));</div>
|
||
|
|
<div class="line"><a id="l00294" name="l00294"></a><span class="lineno"> 294</span> }</div>
|
||
|
|
<div class="line"><a id="l00295" name="l00295"></a><span class="lineno"> 295</span> <span class="keywordflow">return</span> ids;</div>
|
||
|
|
<div class="line"><a id="l00296" name="l00296"></a><span class="lineno"> 296</span>}</div>
|
||
|
|
<div class="line"><a id="l00297" name="l00297"></a><span class="lineno"> 297</span> </div>
|
||
|
|
<div class="line"><a id="l00298" name="l00298"></a><span class="lineno"> 298</span><span class="comment">// Returns a vector of coefficients starting at index 1 (as used by GLPK) to use</span></div>
|
||
|
|
<div class="line"><a id="l00299" name="l00299"></a><span class="lineno"> 299</span><span class="comment">// with glp_load_matrix(). The returned vector first element is always 0 and it</span></div>
|
||
|
|
<div class="line"><a id="l00300" name="l00300"></a><span class="lineno"> 300</span><span class="comment">// is ignored by GLPK.</span></div>
|
||
|
|
<div class="line"><a id="l00301" name="l00301"></a><span class="lineno"> 301</span>std::vector<double> MatrixCoefficients(</div>
|
||
|
|
<div class="line"><a id="l00302" name="l00302"></a><span class="lineno"> 302</span> <span class="keyword">const</span> google::protobuf::RepeatedField<double>& proto_coeffs) {</div>
|
||
|
|
<div class="line"><a id="l00303" name="l00303"></a><span class="lineno"> 303</span> std::vector<double> coeffs(proto_coeffs.size() + 1);</div>
|
||
|
|
<div class="line"><a id="l00304" name="l00304"></a><span class="lineno"> 304</span> <span class="comment">// First item (index 0) is not used by GLPK.</span></div>
|
||
|
|
<div class="line"><a id="l00305" name="l00305"></a><span class="lineno"> 305</span> coeffs[0] = 0.0;</div>
|
||
|
|
<div class="line"><a id="l00306" name="l00306"></a><span class="lineno"> 306</span> std::copy(proto_coeffs.begin(), proto_coeffs.end(), coeffs.begin() + 1);</div>
|
||
|
|
<div class="line"><a id="l00307" name="l00307"></a><span class="lineno"> 307</span> <span class="keywordflow">return</span> coeffs;</div>
|
||
|
|
<div class="line"><a id="l00308" name="l00308"></a><span class="lineno"> 308</span>}</div>
|
||
|
|
<div class="line"><a id="l00309" name="l00309"></a><span class="lineno"> 309</span> </div>
|
||
|
|
<div class="line"><a id="l00310" name="l00310"></a><span class="lineno"> 310</span><span class="comment">// Returns true if the input GLPK problem contains integer variables.</span></div>
|
||
|
|
<div class="line"><a id="l00311" name="l00311"></a><span class="lineno"> 311</span><span class="keywordtype">bool</span> IsMip(glp_prob* <span class="keyword">const</span> problem) {</div>
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||
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<div class="line"><a id="l00312" name="l00312"></a><span class="lineno"> 312</span> <span class="keyword">const</span> <span class="keywordtype">int</span> num_vars = glp_get_num_cols(problem);</div>
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||
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<div class="line"><a id="l00313" name="l00313"></a><span class="lineno"> 313</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> v = 1; v <= num_vars; ++v) {</div>
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||
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<div class="line"><a id="l00314" name="l00314"></a><span class="lineno"> 314</span> <span class="keywordflow">if</span> (glp_get_col_kind(problem, v) != GLP_CV) {</div>
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<div class="line"><a id="l00315" name="l00315"></a><span class="lineno"> 315</span> <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
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||
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<div class="line"><a id="l00316" name="l00316"></a><span class="lineno"> 316</span> }</div>
|
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<div class="line"><a id="l00317" name="l00317"></a><span class="lineno"> 317</span> }</div>
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<div class="line"><a id="l00318" name="l00318"></a><span class="lineno"> 318</span> <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
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<div class="line"><a id="l00319" name="l00319"></a><span class="lineno"> 319</span>}</div>
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<div class="line"><a id="l00320" name="l00320"></a><span class="lineno"> 320</span> </div>
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||
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<div class="line"><a id="l00321" name="l00321"></a><span class="lineno"> 321</span><span class="comment">// Returns true if the input GLPK problem has no rows and no cols.</span></div>
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<div class="line"><a id="l00322" name="l00322"></a><span class="lineno"> 322</span><span class="keywordtype">bool</span> IsEmpty(glp_prob* <span class="keyword">const</span> problem) {</div>
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<div class="line"><a id="l00323" name="l00323"></a><span class="lineno"> 323</span> <span class="keywordflow">return</span> glp_get_num_cols(problem) == 0 && glp_get_num_rows(problem) == 0;</div>
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<div class="line"><a id="l00324" name="l00324"></a><span class="lineno"> 324</span>}</div>
|
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<div class="line"><a id="l00325" name="l00325"></a><span class="lineno"> 325</span> </div>
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<div class="line"><a id="l00326" name="l00326"></a><span class="lineno"> 326</span><span class="comment">// Returns a sparse vector with the values returned by the getter for the input</span></div>
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<div class="line"><a id="l00327" name="l00327"></a><span class="lineno"> 327</span><span class="comment">// ids and taking into account the provided filter.</span></div>
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||
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<div class="line"><a id="l00328" name="l00328"></a><span class="lineno"> 328</span>SparseDoubleVectorProto FilteredVector(glp_prob* <span class="keyword">const</span> problem,</div>
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<div class="line"><a id="l00329" name="l00329"></a><span class="lineno"> 329</span> <span class="keyword">const</span> SparseVectorFilterProto& filter,</div>
|
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<div class="line"><a id="l00330" name="l00330"></a><span class="lineno"> 330</span> <span class="keyword">const</span> std::vector<int64_t>& ids,</div>
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<div class="line"><a id="l00331" name="l00331"></a><span class="lineno"> 331</span> <span class="keywordtype">double</span> (*<span class="keyword">const</span> getter)(glp_prob*, <span class="keywordtype">int</span>)) {</div>
|
||
|
|
<div class="line"><a id="l00332" name="l00332"></a><span class="lineno"> 332</span> SparseDoubleVectorProto vec;</div>
|
||
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<div class="line"><a id="l00333" name="l00333"></a><span class="lineno"> 333</span> vec.mutable_ids()->Reserve(ids.size());</div>
|
||
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<div class="line"><a id="l00334" name="l00334"></a><span class="lineno"> 334</span> vec.mutable_values()->Reserve(ids.size());</div>
|
||
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|
<div class="line"><a id="l00335" name="l00335"></a><span class="lineno"> 335</span> </div>
|
||
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|
<div class="line"><a id="l00336" name="l00336"></a><span class="lineno"> 336</span> SparseVectorFilterPredicate predicate(filter);</div>
|
||
|
|
<div class="line"><a id="l00337" name="l00337"></a><span class="lineno"> 337</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < ids.size(); ++i) {</div>
|
||
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<div class="line"><a id="l00338" name="l00338"></a><span class="lineno"> 338</span> <span class="keyword">const</span> <span class="keywordtype">double</span> <a class="code hl_variable" href="demon__profiler_8cc.html#ac072af30c4ffbc834bb4c681f6ecb514">value</a> = getter(problem, i + 1);</div>
|
||
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<div class="line"><a id="l00339" name="l00339"></a><span class="lineno"> 339</span> <span class="keywordflow">if</span> (predicate.AcceptsAndUpdate(ids[i], <a class="code hl_variable" href="demon__profiler_8cc.html#ac072af30c4ffbc834bb4c681f6ecb514">value</a>)) {</div>
|
||
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|
<div class="line"><a id="l00340" name="l00340"></a><span class="lineno"> 340</span> vec.add_ids(ids[i]);</div>
|
||
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|
<div class="line"><a id="l00341" name="l00341"></a><span class="lineno"> 341</span> vec.add_values(<a class="code hl_variable" href="demon__profiler_8cc.html#ac072af30c4ffbc834bb4c681f6ecb514">value</a>);</div>
|
||
|
|
<div class="line"><a id="l00342" name="l00342"></a><span class="lineno"> 342</span> }</div>
|
||
|
|
<div class="line"><a id="l00343" name="l00343"></a><span class="lineno"> 343</span> }</div>
|
||
|
|
<div class="line"><a id="l00344" name="l00344"></a><span class="lineno"> 344</span> <span class="keywordflow">return</span> vec;</div>
|
||
|
|
<div class="line"><a id="l00345" name="l00345"></a><span class="lineno"> 345</span>}</div>
|
||
|
|
<div class="line"><a id="l00346" name="l00346"></a><span class="lineno"> 346</span> </div>
|
||
|
|
<div class="line"><a id="l00347" name="l00347"></a><span class="lineno"> 347</span><span class="comment">// Returns the ray data the corresponds to element id having the given value and</span></div>
|
||
|
|
<div class="line"><a id="l00348" name="l00348"></a><span class="lineno"> 348</span><span class="comment">// all other elements of ids having 0.</span></div>
|
||
|
|
<div class="line"><a id="l00349" name="l00349"></a><span class="lineno"> 349</span>SparseDoubleVectorProto FilteredRay(<span class="keyword">const</span> SparseVectorFilterProto& filter,</div>
|
||
|
|
<div class="line"><a id="l00350" name="l00350"></a><span class="lineno"> 350</span> <span class="keyword">const</span> std::vector<int64_t>& ids,</div>
|
||
|
|
<div class="line"><a id="l00351" name="l00351"></a><span class="lineno"> 351</span> <span class="keyword">const</span> std::vector<double>& values) {</div>
|
||
|
|
<div class="line"><a id="l00352" name="l00352"></a><span class="lineno"> 352</span> <a class="code hl_define" href="base_2logging_8h.html#a7c0ce053b28d53aa4eaf3eb7fb71663b">CHECK_EQ</a>(ids.size(), values.size());</div>
|
||
|
|
<div class="line"><a id="l00353" name="l00353"></a><span class="lineno"> 353</span> SparseDoubleVectorProto vec;</div>
|
||
|
|
<div class="line"><a id="l00354" name="l00354"></a><span class="lineno"> 354</span> SparseVectorFilterPredicate predicate(filter);</div>
|
||
|
|
<div class="line"><a id="l00355" name="l00355"></a><span class="lineno"> 355</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < ids.size(); ++i) {</div>
|
||
|
|
<div class="line"><a id="l00356" name="l00356"></a><span class="lineno"> 356</span> <span class="keywordflow">if</span> (predicate.AcceptsAndUpdate(ids[i], values[i])) {</div>
|
||
|
|
<div class="line"><a id="l00357" name="l00357"></a><span class="lineno"> 357</span> vec.add_ids(ids[i]);</div>
|
||
|
|
<div class="line"><a id="l00358" name="l00358"></a><span class="lineno"> 358</span> vec.add_values(values[i]);</div>
|
||
|
|
<div class="line"><a id="l00359" name="l00359"></a><span class="lineno"> 359</span> }</div>
|
||
|
|
<div class="line"><a id="l00360" name="l00360"></a><span class="lineno"> 360</span> }</div>
|
||
|
|
<div class="line"><a id="l00361" name="l00361"></a><span class="lineno"> 361</span> <span class="keywordflow">return</span> vec;</div>
|
||
|
|
<div class="line"><a id="l00362" name="l00362"></a><span class="lineno"> 362</span>}</div>
|
||
|
|
<div class="line"><a id="l00363" name="l00363"></a><span class="lineno"> 363</span> </div>
|
||
|
|
<div class="line"><a id="l00364" name="l00364"></a><span class="lineno"> 364</span><span class="comment">// Sets the parameters shared between MIP and LP and returns warnings for bad</span></div>
|
||
|
|
<div class="line"><a id="l00365" name="l00365"></a><span class="lineno"> 365</span><span class="comment">// parameters.</span></div>
|
||
|
|
<div class="line"><a id="l00366" name="l00366"></a><span class="lineno"> 366</span><span class="comment">//</span></div>
|
||
|
|
<div class="line"><a id="l00367" name="l00367"></a><span class="lineno"> 367</span><span class="comment">// The input Parameters type should be glp_smcp (for LP), glp_iptcp (for LP with</span></div>
|
||
|
|
<div class="line"><a id="l00368" name="l00368"></a><span class="lineno"> 368</span><span class="comment">// interior point) or glp_iocp (for MIP).</span></div>
|
||
|
|
<div class="line"><a id="l00369" name="l00369"></a><span class="lineno"> 369</span><span class="keyword">template</span> <<span class="keyword">typename</span> Parameters></div>
|
||
|
|
<div class="line"><a id="l00370" name="l00370"></a><span class="lineno"> 370</span>absl::Status SetSharedParameters(<span class="keyword">const</span> SolveParametersProto& <a class="code hl_variable" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>,</div>
|
||
|
|
<div class="line"><a id="l00371" name="l00371"></a><span class="lineno"> 371</span> <span class="keyword">const</span> <span class="keywordtype">bool</span> has_message_callback,</div>
|
||
|
|
<div class="line"><a id="l00372" name="l00372"></a><span class="lineno"> 372</span> Parameters& glpk_parameters) {</div>
|
||
|
|
<div class="line"><a id="l00373" name="l00373"></a><span class="lineno"> 373</span> std::vector<std::string> warnings;</div>
|
||
|
|
<div class="line"><a id="l00374" name="l00374"></a><span class="lineno"> 374</span> <span class="keywordflow">if</span> (<a class="code hl_variable" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>.has_threads() && <a class="code hl_variable" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>.threads() > 1) {</div>
|
||
|
|
<div class="line"><a id="l00375" name="l00375"></a><span class="lineno"> 375</span> warnings.push_back(</div>
|
||
|
|
<div class="line"><a id="l00376" name="l00376"></a><span class="lineno"> 376</span> absl::StrCat(<span class="stringliteral">"GLPK only supports parameters.threads = 1; value "</span>,</div>
|
||
|
|
<div class="line"><a id="l00377" name="l00377"></a><span class="lineno"> 377</span> <a class="code hl_variable" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>.threads(), <span class="stringliteral">" is not supported"</span>));</div>
|
||
|
|
<div class="line"><a id="l00378" name="l00378"></a><span class="lineno"> 378</span> }</div>
|
||
|
|
<div class="line"><a id="l00379" name="l00379"></a><span class="lineno"> 379</span> <span class="keywordflow">if</span> (<a class="code hl_variable" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>.enable_output() || has_message_callback) {</div>
|
||
|
|
<div class="line"><a id="l00380" name="l00380"></a><span class="lineno"> 380</span> glpk_parameters.msg_lev = GLP_MSG_ALL;</div>
|
||
|
|
<div class="line"><a id="l00381" name="l00381"></a><span class="lineno"> 381</span> } <span class="keywordflow">else</span> {</div>
|
||
|
|
<div class="line"><a id="l00382" name="l00382"></a><span class="lineno"> 382</span> glpk_parameters.msg_lev = GLP_MSG_OFF;</div>
|
||
|
|
<div class="line"><a id="l00383" name="l00383"></a><span class="lineno"> 383</span> }</div>
|
||
|
|
<div class="line"><a id="l00384" name="l00384"></a><span class="lineno"> 384</span> <span class="keywordflow">if</span> (<a class="code hl_variable" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>.has_node_limit()) {</div>
|
||
|
|
<div class="line"><a id="l00385" name="l00385"></a><span class="lineno"> 385</span> warnings.push_back(<span class="stringliteral">"Parameter node_limit not supported by GLPK"</span>);</div>
|
||
|
|
<div class="line"><a id="l00386" name="l00386"></a><span class="lineno"> 386</span> }</div>
|
||
|
|
<div class="line"><a id="l00387" name="l00387"></a><span class="lineno"> 387</span> <span class="keywordflow">if</span> (<a class="code hl_variable" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>.has_objective_limit()) {</div>
|
||
|
|
<div class="line"><a id="l00388" name="l00388"></a><span class="lineno"> 388</span> warnings.push_back(<span class="stringliteral">"Parameter objective_limit not supported by GLPK"</span>);</div>
|
||
|
|
<div class="line"><a id="l00389" name="l00389"></a><span class="lineno"> 389</span> }</div>
|
||
|
|
<div class="line"><a id="l00390" name="l00390"></a><span class="lineno"> 390</span> <span class="keywordflow">if</span> (<a class="code hl_variable" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>.has_best_bound_limit()) {</div>
|
||
|
|
<div class="line"><a id="l00391" name="l00391"></a><span class="lineno"> 391</span> warnings.push_back(<span class="stringliteral">"Parameter best_bound_limit not supported by GLPK"</span>);</div>
|
||
|
|
<div class="line"><a id="l00392" name="l00392"></a><span class="lineno"> 392</span> }</div>
|
||
|
|
<div class="line"><a id="l00393" name="l00393"></a><span class="lineno"> 393</span> <span class="keywordflow">if</span> (<a class="code hl_variable" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>.has_cutoff_limit()) {</div>
|
||
|
|
<div class="line"><a id="l00394" name="l00394"></a><span class="lineno"> 394</span> warnings.push_back(<span class="stringliteral">"Parameter cutoff_limit not supported by GLPK"</span>);</div>
|
||
|
|
<div class="line"><a id="l00395" name="l00395"></a><span class="lineno"> 395</span> }</div>
|
||
|
|
<div class="line"><a id="l00396" name="l00396"></a><span class="lineno"> 396</span> <span class="keywordflow">if</span> (<a class="code hl_variable" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>.has_solution_limit()) {</div>
|
||
|
|
<div class="line"><a id="l00397" name="l00397"></a><span class="lineno"> 397</span> warnings.push_back(<span class="stringliteral">"Parameter solution_limit not supported by GLPK"</span>);</div>
|
||
|
|
<div class="line"><a id="l00398" name="l00398"></a><span class="lineno"> 398</span> }</div>
|
||
|
|
<div class="line"><a id="l00399" name="l00399"></a><span class="lineno"> 399</span> <span class="keywordflow">if</span> (!warnings.empty()) {</div>
|
||
|
|
<div class="line"><a id="l00400" name="l00400"></a><span class="lineno"> 400</span> <span class="keywordflow">return</span> absl::InvalidArgumentError(absl::StrJoin(warnings, <span class="stringliteral">"; "</span>));</div>
|
||
|
|
<div class="line"><a id="l00401" name="l00401"></a><span class="lineno"> 401</span> }</div>
|
||
|
|
<div class="line"><a id="l00402" name="l00402"></a><span class="lineno"> 402</span> <span class="keywordflow">return</span> absl::OkStatus();</div>
|
||
|
|
<div class="line"><a id="l00403" name="l00403"></a><span class="lineno"> 403</span>}</div>
|
||
|
|
<div class="line"><a id="l00404" name="l00404"></a><span class="lineno"> 404</span> </div>
|
||
|
|
<div class="line"><a id="l00405" name="l00405"></a><span class="lineno"> 405</span><span class="comment">// Sets the time limit parameter which is only supported by some LP algorithm</span></div>
|
||
|
|
<div class="line"><a id="l00406" name="l00406"></a><span class="lineno"> 406</span><span class="comment">// and MIP, but not by interior point.</span></div>
|
||
|
|
<div class="line"><a id="l00407" name="l00407"></a><span class="lineno"> 407</span><span class="comment">//</span></div>
|
||
|
|
<div class="line"><a id="l00408" name="l00408"></a><span class="lineno"> 408</span><span class="comment">// The input Parameters type should be glp_smcp (for LP), or glp_iocp (for MIP).</span></div>
|
||
|
|
<div class="line"><a id="l00409" name="l00409"></a><span class="lineno"> 409</span><span class="keyword">template</span> <<span class="keyword">typename</span> Parameters></div>
|
||
|
|
<div class="line"><a id="l00410" name="l00410"></a><span class="lineno"> 410</span><span class="keywordtype">void</span> SetTimeLimitParameter(<span class="keyword">const</span> SolveParametersProto& <a class="code hl_variable" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>,</div>
|
||
|
|
<div class="line"><a id="l00411" name="l00411"></a><span class="lineno"> 411</span> Parameters& glpk_parameters) {</div>
|
||
|
|
<div class="line"><a id="l00412" name="l00412"></a><span class="lineno"> 412</span> <span class="keywordflow">if</span> (<a class="code hl_variable" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>.has_time_limit()) {</div>
|
||
|
|
<div class="line"><a id="l00413" name="l00413"></a><span class="lineno"> 413</span> <span class="keyword">const</span> int64_t time_limit_ms = absl::ToInt64Milliseconds(</div>
|
||
|
|
<div class="line"><a id="l00414" name="l00414"></a><span class="lineno"> 414</span> <a class="code hl_function" href="namespaceutil__time.html#a801584734c5b3898f94cf932202b2eb7">util_time::DecodeGoogleApiProto</a>(<a class="code hl_variable" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>.time_limit()).value());</div>
|
||
|
|
<div class="line"><a id="l00415" name="l00415"></a><span class="lineno"> 415</span> glpk_parameters.tm_lim = <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(<a class="code hl_variable" href="alldiff__cst_8cc.html#ad10edae0a852d72fb76afb1c77735045">std::min</a>(</div>
|
||
|
|
<div class="line"><a id="l00416" name="l00416"></a><span class="lineno"> 416</span> <span class="keyword">static_cast<</span>int64_t<span class="keyword">></span>(<a class="code hl_variable" href="alldiff__cst_8cc.html#a26e6db9bcc64b584051ecc28171ed11f">std::numeric_limits<int>::max</a>()), time_limit_ms));</div>
|
||
|
|
<div class="line"><a id="l00417" name="l00417"></a><span class="lineno"> 417</span> }</div>
|
||
|
|
<div class="line"><a id="l00418" name="l00418"></a><span class="lineno"> 418</span>}</div>
|
||
|
|
<div class="line"><a id="l00419" name="l00419"></a><span class="lineno"> 419</span> </div>
|
||
|
|
<div class="line"><a id="l00420" name="l00420"></a><span class="lineno"> 420</span><span class="comment">// Sets the LP specific parameters and returns an InvalidArgumentError for</span></div>
|
||
|
|
<div class="line"><a id="l00421" name="l00421"></a><span class="lineno"> 421</span><span class="comment">// invalid parameters or parameter values.</span></div>
|
||
|
|
<div class="line"><a id="l00422" name="l00422"></a><span class="lineno"> 422</span>absl::Status SetLPParameters(<span class="keyword">const</span> SolveParametersProto& <a class="code hl_variable" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>,</div>
|
||
|
|
<div class="line"><a id="l00423" name="l00423"></a><span class="lineno"> 423</span> glp_smcp& glpk_parameters) {</div>
|
||
|
|
<div class="line"><a id="l00424" name="l00424"></a><span class="lineno"> 424</span> std::vector<std::string> warnings;</div>
|
||
|
|
<div class="line"><a id="l00425" name="l00425"></a><span class="lineno"> 425</span> <span class="keywordflow">switch</span> (<a class="code hl_variable" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>.presolve()) {</div>
|
||
|
|
<div class="line"><a id="l00426" name="l00426"></a><span class="lineno"> 426</span> <span class="keywordflow">case</span> EMPHASIS_UNSPECIFIED:</div>
|
||
|
|
<div class="line"><a id="l00427" name="l00427"></a><span class="lineno"> 427</span> <span class="comment">// Keep the default.</span></div>
|
||
|
|
<div class="line"><a id="l00428" name="l00428"></a><span class="lineno"> 428</span> <span class="comment">//</span></div>
|
||
|
|
<div class="line"><a id="l00429" name="l00429"></a><span class="lineno"> 429</span> <span class="comment">// TODO(b/187027049): default is off, which may be surprising for users.</span></div>
|
||
|
|
<div class="line"><a id="l00430" name="l00430"></a><span class="lineno"> 430</span> <span class="keywordflow">break</span>;</div>
|
||
|
|
<div class="line"><a id="l00431" name="l00431"></a><span class="lineno"> 431</span> <span class="keywordflow">case</span> EMPHASIS_OFF:</div>
|
||
|
|
<div class="line"><a id="l00432" name="l00432"></a><span class="lineno"> 432</span> glpk_parameters.presolve = GLP_OFF;</div>
|
||
|
|
<div class="line"><a id="l00433" name="l00433"></a><span class="lineno"> 433</span> <span class="keywordflow">break</span>;</div>
|
||
|
|
<div class="line"><a id="l00434" name="l00434"></a><span class="lineno"> 434</span> <span class="keywordflow">default</span>:</div>
|
||
|
|
<div class="line"><a id="l00435" name="l00435"></a><span class="lineno"> 435</span> glpk_parameters.presolve = GLP_ON;</div>
|
||
|
|
<div class="line"><a id="l00436" name="l00436"></a><span class="lineno"> 436</span> <span class="keywordflow">break</span>;</div>
|
||
|
|
<div class="line"><a id="l00437" name="l00437"></a><span class="lineno"> 437</span> }</div>
|
||
|
|
<div class="line"><a id="l00438" name="l00438"></a><span class="lineno"> 438</span> <span class="keywordflow">switch</span> (<a class="code hl_variable" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>.lp_algorithm()) {</div>
|
||
|
|
<div class="line"><a id="l00439" name="l00439"></a><span class="lineno"> 439</span> <span class="keywordflow">case</span> LP_ALGORITHM_UNSPECIFIED:</div>
|
||
|
|
<div class="line"><a id="l00440" name="l00440"></a><span class="lineno"> 440</span> <span class="keywordflow">break</span>;</div>
|
||
|
|
<div class="line"><a id="l00441" name="l00441"></a><span class="lineno"> 441</span> <span class="keywordflow">case</span> LP_ALGORITHM_PRIMAL_SIMPLEX:</div>
|
||
|
|
<div class="line"><a id="l00442" name="l00442"></a><span class="lineno"> 442</span> glpk_parameters.meth = GLP_PRIMAL;</div>
|
||
|
|
<div class="line"><a id="l00443" name="l00443"></a><span class="lineno"> 443</span> <span class="keywordflow">break</span>;</div>
|
||
|
|
<div class="line"><a id="l00444" name="l00444"></a><span class="lineno"> 444</span> <span class="keywordflow">case</span> LP_ALGORITHM_DUAL_SIMPLEX:</div>
|
||
|
|
<div class="line"><a id="l00445" name="l00445"></a><span class="lineno"> 445</span> <span class="comment">// Use GLP_DUALP to switch back to primal simplex if the dual simplex</span></div>
|
||
|
|
<div class="line"><a id="l00446" name="l00446"></a><span class="lineno"> 446</span> <span class="comment">// fails.</span></div>
|
||
|
|
<div class="line"><a id="l00447" name="l00447"></a><span class="lineno"> 447</span> <span class="comment">//</span></div>
|
||
|
|
<div class="line"><a id="l00448" name="l00448"></a><span class="lineno"> 448</span> <span class="comment">// TODO(b/187027049): GLPK also supports GLP_DUAL to only try dual</span></div>
|
||
|
|
<div class="line"><a id="l00449" name="l00449"></a><span class="lineno"> 449</span> <span class="comment">// simplex. We should have an option to support it.</span></div>
|
||
|
|
<div class="line"><a id="l00450" name="l00450"></a><span class="lineno"> 450</span> glpk_parameters.meth = GLP_DUALP;</div>
|
||
|
|
<div class="line"><a id="l00451" name="l00451"></a><span class="lineno"> 451</span> <span class="keywordflow">break</span>;</div>
|
||
|
|
<div class="line"><a id="l00452" name="l00452"></a><span class="lineno"> 452</span> <span class="keywordflow">default</span>:</div>
|
||
|
|
<div class="line"><a id="l00453" name="l00453"></a><span class="lineno"> 453</span> warnings.push_back(absl::StrCat(</div>
|
||
|
|
<div class="line"><a id="l00454" name="l00454"></a><span class="lineno"> 454</span> <span class="stringliteral">"GLPK does not support "</span>,</div>
|
||
|
|
<div class="line"><a id="l00455" name="l00455"></a><span class="lineno"> 455</span> <a class="code hl_function" href="namespaceoperations__research.html#a760c8bbae2698a370004ceaaba9d9920">operations_research::ProtoEnumToString</a>(<a class="code hl_variable" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>.lp_algorithm()),</div>
|
||
|
|
<div class="line"><a id="l00456" name="l00456"></a><span class="lineno"> 456</span> <span class="stringliteral">" for parameters.lp_algorithm"</span>));</div>
|
||
|
|
<div class="line"><a id="l00457" name="l00457"></a><span class="lineno"> 457</span> <span class="keywordflow">break</span>;</div>
|
||
|
|
<div class="line"><a id="l00458" name="l00458"></a><span class="lineno"> 458</span> }</div>
|
||
|
|
<div class="line"><a id="l00459" name="l00459"></a><span class="lineno"> 459</span> <span class="keywordflow">if</span> (!warnings.empty()) {</div>
|
||
|
|
<div class="line"><a id="l00460" name="l00460"></a><span class="lineno"> 460</span> <span class="keywordflow">return</span> absl::InvalidArgumentError(absl::StrJoin(warnings, <span class="stringliteral">"; "</span>));</div>
|
||
|
|
<div class="line"><a id="l00461" name="l00461"></a><span class="lineno"> 461</span> }</div>
|
||
|
|
<div class="line"><a id="l00462" name="l00462"></a><span class="lineno"> 462</span> <span class="keywordflow">return</span> absl::OkStatus();</div>
|
||
|
|
<div class="line"><a id="l00463" name="l00463"></a><span class="lineno"> 463</span>}</div>
|
||
|
|
<div class="line"><a id="l00464" name="l00464"></a><span class="lineno"> 464</span> </div>
|
||
|
|
<div class="line"><a id="l00465" name="l00465"></a><span class="lineno"> 465</span><span class="keyword">class </span>MipCallbackData {</div>
|
||
|
|
<div class="line"><a id="l00466" name="l00466"></a><span class="lineno"> 466</span> <span class="keyword">public</span>:</div>
|
||
|
|
<div class="line"><a id="l00467" name="l00467"></a><span class="lineno"> 467</span> <span class="keyword">explicit</span> MipCallbackData(SolveInterrupter* <span class="keyword">const</span> interrupter)</div>
|
||
|
|
<div class="line"><a id="l00468" name="l00468"></a><span class="lineno"> 468</span> : interrupter_(interrupter) {}</div>
|
||
|
|
<div class="line"><a id="l00469" name="l00469"></a><span class="lineno"> 469</span> </div>
|
||
|
|
<div class="line"><a id="l00470" name="l00470"></a><span class="lineno"> 470</span> <span class="keywordtype">void</span> <a class="code hl_typedef" href="namespaceoperations__research_1_1math__opt.html#a9d73bc1014f12f33dfaa51825ad668ee">Callback</a>(glp_tree* <span class="keyword">const</span> tree) {</div>
|
||
|
|
<div class="line"><a id="l00471" name="l00471"></a><span class="lineno"> 471</span> <span class="comment">// We only update the best bound on some specific events since it makes a</span></div>
|
||
|
|
<div class="line"><a id="l00472" name="l00472"></a><span class="lineno"> 472</span> <span class="comment">// traversal of all active nodes.</span></div>
|
||
|
|
<div class="line"><a id="l00473" name="l00473"></a><span class="lineno"> 473</span> <span class="keywordflow">switch</span> (glp_ios_reason(tree)) {</div>
|
||
|
|
<div class="line"><a id="l00474" name="l00474"></a><span class="lineno"> 474</span> <span class="keywordflow">case</span> GLP_ISELECT:</div>
|
||
|
|
<div class="line"><a id="l00475" name="l00475"></a><span class="lineno"> 475</span> <span class="comment">// The ISELECT call is the first one that happens after a node has been</span></div>
|
||
|
|
<div class="line"><a id="l00476" name="l00476"></a><span class="lineno"> 476</span> <span class="comment">// split on two sub-nodes (IBRANCH) with updated `bound`s based on the</span></div>
|
||
|
|
<div class="line"><a id="l00477" name="l00477"></a><span class="lineno"> 477</span> <span class="comment">// integer value of the branched variable.</span></div>
|
||
|
|
<div class="line"><a id="l00478" name="l00478"></a><span class="lineno"> 478</span> <span class="keywordflow">case</span> GLP_IBINGO:</div>
|
||
|
|
<div class="line"><a id="l00479" name="l00479"></a><span class="lineno"> 479</span> <span class="comment">// We found a new integer solution, the `bound` has been updated.</span></div>
|
||
|
|
<div class="line"><a id="l00480" name="l00480"></a><span class="lineno"> 480</span> <span class="keywordflow">case</span> GLP_IROWGEN:</div>
|
||
|
|
<div class="line"><a id="l00481" name="l00481"></a><span class="lineno"> 481</span> <span class="comment">// The IROWGEN call is the first one that happens on a current node</span></div>
|
||
|
|
<div class="line"><a id="l00482" name="l00482"></a><span class="lineno"> 482</span> <span class="comment">// after the relaxed problem has been solved and the `bound` field</span></div>
|
||
|
|
<div class="line"><a id="l00483" name="l00483"></a><span class="lineno"> 483</span> <span class="comment">// updated.</span></div>
|
||
|
|
<div class="line"><a id="l00484" name="l00484"></a><span class="lineno"> 484</span> <span class="comment">//</span></div>
|
||
|
|
<div class="line"><a id="l00485" name="l00485"></a><span class="lineno"> 485</span> <span class="comment">// Note that the model/cut pool changes done in IROWGEN and ICUTGEN have</span></div>
|
||
|
|
<div class="line"><a id="l00486" name="l00486"></a><span class="lineno"> 486</span> <span class="comment">// no influence on the `bound` and IROWGEN is the first call to happen.</span></div>
|
||
|
|
<div class="line"><a id="l00487" name="l00487"></a><span class="lineno"> 487</span> <span class="keywordflow">if</span> (<span class="keyword">const</span> <span class="keywordtype">int</span> best_node = glp_ios_best_node(tree); best_node != 0) {</div>
|
||
|
|
<div class="line"><a id="l00488" name="l00488"></a><span class="lineno"> 488</span> best_bound_ = glp_ios_node_bound(tree, best_node);</div>
|
||
|
|
<div class="line"><a id="l00489" name="l00489"></a><span class="lineno"> 489</span> }</div>
|
||
|
|
<div class="line"><a id="l00490" name="l00490"></a><span class="lineno"> 490</span> <span class="keywordflow">break</span>;</div>
|
||
|
|
<div class="line"><a id="l00491" name="l00491"></a><span class="lineno"> 491</span> <span class="keywordflow">default</span>:</div>
|
||
|
|
<div class="line"><a id="l00492" name="l00492"></a><span class="lineno"> 492</span> <span class="comment">// We can ignore:</span></div>
|
||
|
|
<div class="line"><a id="l00493" name="l00493"></a><span class="lineno"> 493</span> <span class="comment">// - IPREPRO: since the `bound` of the current node has not been</span></div>
|
||
|
|
<div class="line"><a id="l00494" name="l00494"></a><span class="lineno"> 494</span> <span class="comment">// computed yet.</span></div>
|
||
|
|
<div class="line"><a id="l00495" name="l00495"></a><span class="lineno"> 495</span> <span class="comment">// - IHEUR: since we have IBINGO if the integer solution is better.</span></div>
|
||
|
|
<div class="line"><a id="l00496" name="l00496"></a><span class="lineno"> 496</span> <span class="comment">// - ICUTGEN: since the `bound` is not updated with the rows added at</span></div>
|
||
|
|
<div class="line"><a id="l00497" name="l00497"></a><span class="lineno"> 497</span> <span class="comment">// IROWGEN so we would get the same best bound.</span></div>
|
||
|
|
<div class="line"><a id="l00498" name="l00498"></a><span class="lineno"> 498</span> <span class="comment">// - IBRANCH: since the sub-nodes will be created after that and their</span></div>
|
||
|
|
<div class="line"><a id="l00499" name="l00499"></a><span class="lineno"> 499</span> <span class="comment">// `bound`s taken into account at ISELECT.</span></div>
|
||
|
|
<div class="line"><a id="l00500" name="l00500"></a><span class="lineno"> 500</span> <span class="keywordflow">break</span>;</div>
|
||
|
|
<div class="line"><a id="l00501" name="l00501"></a><span class="lineno"> 501</span> }</div>
|
||
|
|
<div class="line"><a id="l00502" name="l00502"></a><span class="lineno"> 502</span> <span class="keywordflow">if</span> (interrupter_ != <span class="keyword">nullptr</span> && interrupter_->IsInterrupted()) {</div>
|
||
|
|
<div class="line"><a id="l00503" name="l00503"></a><span class="lineno"> 503</span> glp_ios_terminate(tree);</div>
|
||
|
|
<div class="line"><a id="l00504" name="l00504"></a><span class="lineno"> 504</span> interrupted_by_interrupter_ = <span class="keyword">true</span>;</div>
|
||
|
|
<div class="line"><a id="l00505" name="l00505"></a><span class="lineno"> 505</span> <span class="keywordflow">return</span>;</div>
|
||
|
|
<div class="line"><a id="l00506" name="l00506"></a><span class="lineno"> 506</span> }</div>
|
||
|
|
<div class="line"><a id="l00507" name="l00507"></a><span class="lineno"> 507</span> }</div>
|
||
|
|
<div class="line"><a id="l00508" name="l00508"></a><span class="lineno"> 508</span> </div>
|
||
|
|
<div class="line"><a id="l00509" name="l00509"></a><span class="lineno"> 509</span> <span class="keywordtype">bool</span> HasBeenInterruptedByInterrupter()<span class="keyword"> const </span>{</div>
|
||
|
|
<div class="line"><a id="l00510" name="l00510"></a><span class="lineno"> 510</span> <span class="keywordflow">return</span> interrupted_by_interrupter_.load();</div>
|
||
|
|
<div class="line"><a id="l00511" name="l00511"></a><span class="lineno"> 511</span> }</div>
|
||
|
|
<div class="line"><a id="l00512" name="l00512"></a><span class="lineno"> 512</span> </div>
|
||
|
|
<div class="line"><a id="l00513" name="l00513"></a><span class="lineno"> 513</span> std::optional<double> best_bound()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> best_bound_; }</div>
|
||
|
|
<div class="line"><a id="l00514" name="l00514"></a><span class="lineno"> 514</span> </div>
|
||
|
|
<div class="line"><a id="l00515" name="l00515"></a><span class="lineno"> 515</span> <span class="keyword">private</span>:</div>
|
||
|
|
<div class="line"><a id="l00516" name="l00516"></a><span class="lineno"> 516</span> <span class="comment">// Optional interrupter.</span></div>
|
||
|
|
<div class="line"><a id="l00517" name="l00517"></a><span class="lineno"> 517</span> SolveInterrupter* <span class="keyword">const</span> interrupter_;</div>
|
||
|
|
<div class="line"><a id="l00518" name="l00518"></a><span class="lineno"> 518</span> </div>
|
||
|
|
<div class="line"><a id="l00519" name="l00519"></a><span class="lineno"> 519</span> <span class="comment">// Set to true if glp_ios_terminate() has been called due to the interrupter.</span></div>
|
||
|
|
<div class="line"><a id="l00520" name="l00520"></a><span class="lineno"> 520</span> std::atomic<bool> interrupted_by_interrupter_ = <span class="keyword">false</span>;</div>
|
||
|
|
<div class="line"><a id="l00521" name="l00521"></a><span class="lineno"> 521</span> </div>
|
||
|
|
<div class="line"><a id="l00522" name="l00522"></a><span class="lineno"> 522</span> <span class="comment">// Set on each callback that may update the best bound.</span></div>
|
||
|
|
<div class="line"><a id="l00523" name="l00523"></a><span class="lineno"> 523</span> std::optional<double> best_bound_;</div>
|
||
|
|
<div class="line"><a id="l00524" name="l00524"></a><span class="lineno"> 524</span>};</div>
|
||
|
|
<div class="line"><a id="l00525" name="l00525"></a><span class="lineno"> 525</span> </div>
|
||
|
|
<div class="line"><a id="l00526" name="l00526"></a><span class="lineno"> 526</span><span class="keywordtype">void</span> MipCallback(glp_tree* <span class="keyword">const</span> tree, <span class="keywordtype">void</span>* <span class="keyword">const</span> info) {</div>
|
||
|
|
<div class="line"><a id="l00527" name="l00527"></a><span class="lineno"> 527</span> <span class="keyword">static_cast<</span>MipCallbackData*<span class="keyword">></span>(info)-><a class="code hl_typedef" href="namespaceoperations__research_1_1math__opt.html#a9d73bc1014f12f33dfaa51825ad668ee">Callback</a>(tree);</div>
|
||
|
|
<div class="line"><a id="l00528" name="l00528"></a><span class="lineno"> 528</span>}</div>
|
||
|
|
<div class="line"><a id="l00529" name="l00529"></a><span class="lineno"> 529</span> </div>
|
||
|
|
<div class="line"><a id="l00530" name="l00530"></a><span class="lineno"> 530</span><span class="comment">// Returns the MathOpt ids of the rows/columns with lower_bound > upper_bound.</span></div>
|
||
|
|
<div class="line"><a id="l00531" name="l00531"></a><span class="lineno"> 531</span>InvertedBounds ListInvertedBounds(</div>
|
||
|
|
<div class="line"><a id="l00532" name="l00532"></a><span class="lineno"> 532</span> glp_prob* <span class="keyword">const</span> problem, <span class="keyword">const</span> std::vector<int64_t>& <a class="code hl_variable" href="gscip__solver_8cc.html#a461bf2761c1dc652a0671e5e135b763a">variable_ids</a>,</div>
|
||
|
|
<div class="line"><a id="l00533" name="l00533"></a><span class="lineno"> 533</span> <span class="keyword">const</span> std::vector<int64_t>& linear_constraint_ids) {</div>
|
||
|
|
<div class="line"><a id="l00534" name="l00534"></a><span class="lineno"> 534</span> InvertedBounds inverted_bounds;</div>
|
||
|
|
<div class="line"><a id="l00535" name="l00535"></a><span class="lineno"> 535</span> </div>
|
||
|
|
<div class="line"><a id="l00536" name="l00536"></a><span class="lineno"> 536</span> <span class="keyword">const</span> <span class="keywordtype">int</span> num_cols = glp_get_num_cols(problem);</div>
|
||
|
|
<div class="line"><a id="l00537" name="l00537"></a><span class="lineno"> 537</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 1; c <= num_cols; ++c) {</div>
|
||
|
|
<div class="line"><a id="l00538" name="l00538"></a><span class="lineno"> 538</span> <span class="keywordflow">if</span> (glp_get_col_lb(problem, c) > glp_get_col_ub(problem, c)) {</div>
|
||
|
|
<div class="line"><a id="l00539" name="l00539"></a><span class="lineno"> 539</span> inverted_bounds.variables.push_back(<a class="code hl_variable" href="gscip__solver_8cc.html#a461bf2761c1dc652a0671e5e135b763a">variable_ids</a>[c - 1]);</div>
|
||
|
|
<div class="line"><a id="l00540" name="l00540"></a><span class="lineno"> 540</span> }</div>
|
||
|
|
<div class="line"><a id="l00541" name="l00541"></a><span class="lineno"> 541</span> }</div>
|
||
|
|
<div class="line"><a id="l00542" name="l00542"></a><span class="lineno"> 542</span> </div>
|
||
|
|
<div class="line"><a id="l00543" name="l00543"></a><span class="lineno"> 543</span> <span class="keyword">const</span> <span class="keywordtype">int</span> num_rows = glp_get_num_rows(problem);</div>
|
||
|
|
<div class="line"><a id="l00544" name="l00544"></a><span class="lineno"> 544</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> r = 1; r <= num_rows; ++r) {</div>
|
||
|
|
<div class="line"><a id="l00545" name="l00545"></a><span class="lineno"> 545</span> <span class="keywordflow">if</span> (glp_get_row_lb(problem, r) > glp_get_row_ub(problem, r)) {</div>
|
||
|
|
<div class="line"><a id="l00546" name="l00546"></a><span class="lineno"> 546</span> inverted_bounds.linear_constraints.push_back(</div>
|
||
|
|
<div class="line"><a id="l00547" name="l00547"></a><span class="lineno"> 547</span> linear_constraint_ids[r - 1]);</div>
|
||
|
|
<div class="line"><a id="l00548" name="l00548"></a><span class="lineno"> 548</span> }</div>
|
||
|
|
<div class="line"><a id="l00549" name="l00549"></a><span class="lineno"> 549</span> }</div>
|
||
|
|
<div class="line"><a id="l00550" name="l00550"></a><span class="lineno"> 550</span> </div>
|
||
|
|
<div class="line"><a id="l00551" name="l00551"></a><span class="lineno"> 551</span> <span class="keywordflow">return</span> inverted_bounds;</div>
|
||
|
|
<div class="line"><a id="l00552" name="l00552"></a><span class="lineno"> 552</span>}</div>
|
||
|
|
<div class="line"><a id="l00553" name="l00553"></a><span class="lineno"> 553</span> </div>
|
||
|
|
<div class="line"><a id="l00554" name="l00554"></a><span class="lineno"> 554</span><span class="comment">// Returns the termination reason based on the current MIP data of the problem</span></div>
|
||
|
|
<div class="line"><a id="l00555" name="l00555"></a><span class="lineno"> 555</span><span class="comment">// assuming that the last call to glp_intopt() returned 0 and that the model has</span></div>
|
||
|
|
<div class="line"><a id="l00556" name="l00556"></a><span class="lineno"> 556</span><span class="comment">// not been modified since.</span></div>
|
||
|
|
<div class="line"><a id="l00557" name="l00557"></a><span class="lineno"> 557</span>absl::StatusOr<TerminationProto> MipTerminationOnSuccess(</div>
|
||
|
|
<div class="line"><a id="l00558" name="l00558"></a><span class="lineno"> 558</span> glp_prob* <span class="keyword">const</span> problem) {</div>
|
||
|
|
<div class="line"><a id="l00559" name="l00559"></a><span class="lineno"> 559</span> <span class="keyword">const</span> <span class="keywordtype">int</span> <a class="code hl_variable" href="g__gurobi_8cc.html#a2237393c7ae7ad7344c9885066d5ab6d">status</a> = glp_mip_status(problem);</div>
|
||
|
|
<div class="line"><a id="l00560" name="l00560"></a><span class="lineno"> 560</span> <span class="keywordflow">switch</span> (<a class="code hl_variable" href="g__gurobi_8cc.html#a2237393c7ae7ad7344c9885066d5ab6d">status</a>) {</div>
|
||
|
|
<div class="line"><a id="l00561" name="l00561"></a><span class="lineno"> 561</span> <span class="keywordflow">case</span> GLP_OPT:</div>
|
||
|
|
<div class="line"><a id="l00562" name="l00562"></a><span class="lineno"> 562</span> <span class="keywordflow">return</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#aaaafdf52dd4d552e04d416daeadbd81f">TerminateForReason</a>(TERMINATION_REASON_OPTIMAL);</div>
|
||
|
|
<div class="line"><a id="l00563" name="l00563"></a><span class="lineno"> 563</span> <span class="keywordflow">case</span> GLP_FEAS:</div>
|
||
|
|
<div class="line"><a id="l00564" name="l00564"></a><span class="lineno"> 564</span> <span class="keywordflow">return</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#a0c2a048ffad95d109485f661fcba75d2">FeasibleTermination</a>(LIMIT_UNDETERMINED,</div>
|
||
|
|
<div class="line"><a id="l00565" name="l00565"></a><span class="lineno"> 565</span> <span class="stringliteral">"glp_mip_status() returned GLP_FEAS"</span>);</div>
|
||
|
|
<div class="line"><a id="l00566" name="l00566"></a><span class="lineno"> 566</span> <span class="keywordflow">case</span> GLP_NOFEAS:</div>
|
||
|
|
<div class="line"><a id="l00567" name="l00567"></a><span class="lineno"> 567</span> <span class="keywordflow">return</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#aaaafdf52dd4d552e04d416daeadbd81f">TerminateForReason</a>(TERMINATION_REASON_INFEASIBLE);</div>
|
||
|
|
<div class="line"><a id="l00568" name="l00568"></a><span class="lineno"> 568</span> <span class="keywordflow">default</span>:</div>
|
||
|
|
<div class="line"><a id="l00569" name="l00569"></a><span class="lineno"> 569</span> <span class="keywordflow">return</span> absl::InternalError(</div>
|
||
|
|
<div class="line"><a id="l00570" name="l00570"></a><span class="lineno"> 570</span> absl::StrCat(<span class="stringliteral">"glp_intopt() returned 0 but glp_mip_status()"</span></div>
|
||
|
|
<div class="line"><a id="l00571" name="l00571"></a><span class="lineno"> 571</span> <span class="stringliteral">"returned the unexpected value "</span>,</div>
|
||
|
|
<div class="line"><a id="l00572" name="l00572"></a><span class="lineno"> 572</span> <a class="code hl_function" href="namespaceoperations__research.html#a934d1283f015d3a37d13a611d1be3725">SolutionStatusString</a>(<a class="code hl_variable" href="g__gurobi_8cc.html#a2237393c7ae7ad7344c9885066d5ab6d">status</a>)));</div>
|
||
|
|
<div class="line"><a id="l00573" name="l00573"></a><span class="lineno"> 573</span> }</div>
|
||
|
|
<div class="line"><a id="l00574" name="l00574"></a><span class="lineno"> 574</span>}</div>
|
||
|
|
<div class="line"><a id="l00575" name="l00575"></a><span class="lineno"> 575</span> </div>
|
||
|
|
<div class="line"><a id="l00576" name="l00576"></a><span class="lineno"> 576</span><span class="comment">// Returns the termination reason based on the current interior point data of</span></div>
|
||
|
|
<div class="line"><a id="l00577" name="l00577"></a><span class="lineno"> 577</span><span class="comment">// the problem assuming that the last call to glp_interior() returned 0 and that</span></div>
|
||
|
|
<div class="line"><a id="l00578" name="l00578"></a><span class="lineno"> 578</span><span class="comment">// the model has not been modified since.</span></div>
|
||
|
|
<div class="line"><a id="l00579" name="l00579"></a><span class="lineno"> 579</span>absl::StatusOr<TerminationProto> InteriorTerminationOnSuccess(</div>
|
||
|
|
<div class="line"><a id="l00580" name="l00580"></a><span class="lineno"> 580</span> glp_prob* <span class="keyword">const</span> problem) {</div>
|
||
|
|
<div class="line"><a id="l00581" name="l00581"></a><span class="lineno"> 581</span> <span class="keyword">const</span> <span class="keywordtype">int</span> <a class="code hl_variable" href="g__gurobi_8cc.html#a2237393c7ae7ad7344c9885066d5ab6d">status</a> = glp_ipt_status(problem);</div>
|
||
|
|
<div class="line"><a id="l00582" name="l00582"></a><span class="lineno"> 582</span> <span class="keywordflow">switch</span> (<a class="code hl_variable" href="g__gurobi_8cc.html#a2237393c7ae7ad7344c9885066d5ab6d">status</a>) {</div>
|
||
|
|
<div class="line"><a id="l00583" name="l00583"></a><span class="lineno"> 583</span> <span class="keywordflow">case</span> GLP_OPT:</div>
|
||
|
|
<div class="line"><a id="l00584" name="l00584"></a><span class="lineno"> 584</span> <span class="keywordflow">return</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#aaaafdf52dd4d552e04d416daeadbd81f">TerminateForReason</a>(TERMINATION_REASON_OPTIMAL);</div>
|
||
|
|
<div class="line"><a id="l00585" name="l00585"></a><span class="lineno"> 585</span> <span class="keywordflow">case</span> GLP_INFEAS:</div>
|
||
|
|
<div class="line"><a id="l00586" name="l00586"></a><span class="lineno"> 586</span> <span class="keywordflow">return</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#a83a0991912b16a906577438e2e3479c6">NoSolutionFoundTermination</a>(LIMIT_UNDETERMINED,</div>
|
||
|
|
<div class="line"><a id="l00587" name="l00587"></a><span class="lineno"> 587</span> <span class="stringliteral">"glp_ipt_status() returned GLP_INFEAS"</span>);</div>
|
||
|
|
<div class="line"><a id="l00588" name="l00588"></a><span class="lineno"> 588</span> <span class="keywordflow">case</span> GLP_NOFEAS:</div>
|
||
|
|
<div class="line"><a id="l00589" name="l00589"></a><span class="lineno"> 589</span> <span class="comment">// Documentation in glpapi08.c for glp_ipt_status says this status means</span></div>
|
||
|
|
<div class="line"><a id="l00590" name="l00590"></a><span class="lineno"> 590</span> <span class="comment">// "no feasible solution exists", but the Reference Manual for GLPK</span></div>
|
||
|
|
<div class="line"><a id="l00591" name="l00591"></a><span class="lineno"> 591</span> <span class="comment">// Version 5.0 clarifies that it means "no feasible primal-dual solution</span></div>
|
||
|
|
<div class="line"><a id="l00592" name="l00592"></a><span class="lineno"> 592</span> <span class="comment">// exists." (See also the comment in glpipm.c when ipm_solve returns 1).</span></div>
|
||
|
|
<div class="line"><a id="l00593" name="l00593"></a><span class="lineno"> 593</span> <span class="comment">// Hence, GLP_NOFEAS corresponds to the solver claiming that either the</span></div>
|
||
|
|
<div class="line"><a id="l00594" name="l00594"></a><span class="lineno"> 594</span> <span class="comment">// primal problem, the dual problem (or both) are infeasible. Under this</span></div>
|
||
|
|
<div class="line"><a id="l00595" name="l00595"></a><span class="lineno"> 595</span> <span class="comment">// condition if the primal is feasible, then the dual must be infeasible</span></div>
|
||
|
|
<div class="line"><a id="l00596" name="l00596"></a><span class="lineno"> 596</span> <span class="comment">// and hence the primal is unbounded.</span></div>
|
||
|
|
<div class="line"><a id="l00597" name="l00597"></a><span class="lineno"> 597</span> <span class="keywordflow">return</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#aaaafdf52dd4d552e04d416daeadbd81f">TerminateForReason</a>(TERMINATION_REASON_INFEASIBLE_OR_UNBOUNDED);</div>
|
||
|
|
<div class="line"><a id="l00598" name="l00598"></a><span class="lineno"> 598</span> <span class="keywordflow">default</span>:</div>
|
||
|
|
<div class="line"><a id="l00599" name="l00599"></a><span class="lineno"> 599</span> <span class="keywordflow">return</span> absl::InternalError(</div>
|
||
|
|
<div class="line"><a id="l00600" name="l00600"></a><span class="lineno"> 600</span> absl::StrCat(<span class="stringliteral">"glp_interior() returned 0 but glp_ipt_status()"</span></div>
|
||
|
|
<div class="line"><a id="l00601" name="l00601"></a><span class="lineno"> 601</span> <span class="stringliteral">"returned the unexpected value "</span>,</div>
|
||
|
|
<div class="line"><a id="l00602" name="l00602"></a><span class="lineno"> 602</span> <a class="code hl_function" href="namespaceoperations__research.html#a934d1283f015d3a37d13a611d1be3725">SolutionStatusString</a>(<a class="code hl_variable" href="g__gurobi_8cc.html#a2237393c7ae7ad7344c9885066d5ab6d">status</a>)));</div>
|
||
|
|
<div class="line"><a id="l00603" name="l00603"></a><span class="lineno"> 603</span> }</div>
|
||
|
|
<div class="line"><a id="l00604" name="l00604"></a><span class="lineno"> 604</span>}</div>
|
||
|
|
<div class="line"><a id="l00605" name="l00605"></a><span class="lineno"> 605</span> </div>
|
||
|
|
<div class="line"><a id="l00606" name="l00606"></a><span class="lineno"> 606</span><span class="comment">// Returns the termination reason based on the current interior point data of</span></div>
|
||
|
|
<div class="line"><a id="l00607" name="l00607"></a><span class="lineno"> 607</span><span class="comment">// the problem assuming that the last call to glp_simplex() returned 0 and that</span></div>
|
||
|
|
<div class="line"><a id="l00608" name="l00608"></a><span class="lineno"> 608</span><span class="comment">// the model has not been modified since.</span></div>
|
||
|
|
<div class="line"><a id="l00609" name="l00609"></a><span class="lineno"> 609</span>absl::StatusOr<TerminationProto> SimplexTerminationOnSuccess(</div>
|
||
|
|
<div class="line"><a id="l00610" name="l00610"></a><span class="lineno"> 610</span> glp_prob* <span class="keyword">const</span> problem) {</div>
|
||
|
|
<div class="line"><a id="l00611" name="l00611"></a><span class="lineno"> 611</span> <span class="comment">// Here we don't use glp_get_status() since it is biased towards the primal</span></div>
|
||
|
|
<div class="line"><a id="l00612" name="l00612"></a><span class="lineno"> 612</span> <span class="comment">// simplex algorithm. For example if the dual simplex returns GLP_NOFEAS for</span></div>
|
||
|
|
<div class="line"><a id="l00613" name="l00613"></a><span class="lineno"> 613</span> <span class="comment">// the dual and GLP_INFEAS for the primal then glp_get_status() returns</span></div>
|
||
|
|
<div class="line"><a id="l00614" name="l00614"></a><span class="lineno"> 614</span> <span class="comment">// GLP_INFEAS. This is misleading since the dual successfully determined that</span></div>
|
||
|
|
<div class="line"><a id="l00615" name="l00615"></a><span class="lineno"> 615</span> <span class="comment">// the problem was dual infeasible. So here we use the two statuses of the</span></div>
|
||
|
|
<div class="line"><a id="l00616" name="l00616"></a><span class="lineno"> 616</span> <span class="comment">// primal and the dual to get a better result (the glp_get_status() only</span></div>
|
||
|
|
<div class="line"><a id="l00617" name="l00617"></a><span class="lineno"> 617</span> <span class="comment">// combines them anyway, it does not have any other benefit).</span></div>
|
||
|
|
<div class="line"><a id="l00618" name="l00618"></a><span class="lineno"> 618</span> <span class="keyword">const</span> <span class="keywordtype">int</span> prim_status = glp_get_prim_stat(problem);</div>
|
||
|
|
<div class="line"><a id="l00619" name="l00619"></a><span class="lineno"> 619</span> <span class="keyword">const</span> <span class="keywordtype">int</span> dual_status = glp_get_dual_stat(problem);</div>
|
||
|
|
<div class="line"><a id="l00620" name="l00620"></a><span class="lineno"> 620</span> </div>
|
||
|
|
<div class="line"><a id="l00621" name="l00621"></a><span class="lineno"> 621</span> <span class="comment">// Returns the undetermined limit for cases where we can't draw a conclusion.</span></div>
|
||
|
|
<div class="line"><a id="l00622" name="l00622"></a><span class="lineno"> 622</span> <span class="keyword">const</span> <span class="keyword">auto</span> undetermined_limit = [&]() {</div>
|
||
|
|
<div class="line"><a id="l00623" name="l00623"></a><span class="lineno"> 623</span> <span class="keyword">const</span> std::string detail = absl::StrCat(</div>
|
||
|
|
<div class="line"><a id="l00624" name="l00624"></a><span class="lineno"> 624</span> <span class="stringliteral">"glp_get_prim_stat() returned "</span>, <a class="code hl_function" href="namespaceoperations__research.html#a934d1283f015d3a37d13a611d1be3725">SolutionStatusString</a>(prim_status),</div>
|
||
|
|
<div class="line"><a id="l00625" name="l00625"></a><span class="lineno"> 625</span> <span class="stringliteral">" and glp_get_dual_stat() returned "</span>,</div>
|
||
|
|
<div class="line"><a id="l00626" name="l00626"></a><span class="lineno"> 626</span> <a class="code hl_function" href="namespaceoperations__research.html#a934d1283f015d3a37d13a611d1be3725">SolutionStatusString</a>(dual_status));</div>
|
||
|
|
<div class="line"><a id="l00627" name="l00627"></a><span class="lineno"> 627</span> <span class="keywordflow">if</span> (prim_status == GLP_FEAS) {</div>
|
||
|
|
<div class="line"><a id="l00628" name="l00628"></a><span class="lineno"> 628</span> <span class="keywordflow">return</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#a0c2a048ffad95d109485f661fcba75d2">FeasibleTermination</a>(LIMIT_UNDETERMINED, detail);</div>
|
||
|
|
<div class="line"><a id="l00629" name="l00629"></a><span class="lineno"> 629</span> }</div>
|
||
|
|
<div class="line"><a id="l00630" name="l00630"></a><span class="lineno"> 630</span> <span class="keywordflow">return</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#a83a0991912b16a906577438e2e3479c6">NoSolutionFoundTermination</a>(LIMIT_UNDETERMINED, detail);</div>
|
||
|
|
<div class="line"><a id="l00631" name="l00631"></a><span class="lineno"> 631</span> };</div>
|
||
|
|
<div class="line"><a id="l00632" name="l00632"></a><span class="lineno"> 632</span> </div>
|
||
|
|
<div class="line"><a id="l00633" name="l00633"></a><span class="lineno"> 633</span> <span class="comment">// Returns a status error indicating that glp_get_dual_stat() returned an</span></div>
|
||
|
|
<div class="line"><a id="l00634" name="l00634"></a><span class="lineno"> 634</span> <span class="comment">// unexpected value.</span></div>
|
||
|
|
<div class="line"><a id="l00635" name="l00635"></a><span class="lineno"> 635</span> <span class="keyword">const</span> <span class="keyword">auto</span> unexpected_dual_stat = [&]() {</div>
|
||
|
|
<div class="line"><a id="l00636" name="l00636"></a><span class="lineno"> 636</span> <span class="keywordflow">return</span> absl::InternalError(</div>
|
||
|
|
<div class="line"><a id="l00637" name="l00637"></a><span class="lineno"> 637</span> absl::StrCat(<span class="stringliteral">"glp_simplex() returned 0 but glp_get_dual_stat() "</span></div>
|
||
|
|
<div class="line"><a id="l00638" name="l00638"></a><span class="lineno"> 638</span> <span class="stringliteral">"returned the unexpected value "</span>,</div>
|
||
|
|
<div class="line"><a id="l00639" name="l00639"></a><span class="lineno"> 639</span> <a class="code hl_function" href="namespaceoperations__research.html#a934d1283f015d3a37d13a611d1be3725">SolutionStatusString</a>(dual_status)));</div>
|
||
|
|
<div class="line"><a id="l00640" name="l00640"></a><span class="lineno"> 640</span> };</div>
|
||
|
|
<div class="line"><a id="l00641" name="l00641"></a><span class="lineno"> 641</span> </div>
|
||
|
|
<div class="line"><a id="l00642" name="l00642"></a><span class="lineno"> 642</span> <span class="keywordflow">switch</span> (prim_status) {</div>
|
||
|
|
<div class="line"><a id="l00643" name="l00643"></a><span class="lineno"> 643</span> <span class="keywordflow">case</span> GLP_FEAS:</div>
|
||
|
|
<div class="line"><a id="l00644" name="l00644"></a><span class="lineno"> 644</span> <span class="keywordflow">switch</span> (dual_status) {</div>
|
||
|
|
<div class="line"><a id="l00645" name="l00645"></a><span class="lineno"> 645</span> <span class="keywordflow">case</span> GLP_FEAS:</div>
|
||
|
|
<div class="line"><a id="l00646" name="l00646"></a><span class="lineno"> 646</span> <span class="comment">// Dual feasibility here means that the solution is dual feasible</span></div>
|
||
|
|
<div class="line"><a id="l00647" name="l00647"></a><span class="lineno"> 647</span> <span class="comment">// (correct signs of the residual costs) and that the complementary</span></div>
|
||
|
|
<div class="line"><a id="l00648" name="l00648"></a><span class="lineno"> 648</span> <span class="comment">// slackness condition are respected. Hence the solution is optimal.</span></div>
|
||
|
|
<div class="line"><a id="l00649" name="l00649"></a><span class="lineno"> 649</span> <span class="keywordflow">return</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#aaaafdf52dd4d552e04d416daeadbd81f">TerminateForReason</a>(TERMINATION_REASON_OPTIMAL);</div>
|
||
|
|
<div class="line"><a id="l00650" name="l00650"></a><span class="lineno"> 650</span> <span class="keywordflow">case</span> GLP_INFEAS:</div>
|
||
|
|
<div class="line"><a id="l00651" name="l00651"></a><span class="lineno"> 651</span> <span class="keywordflow">return</span> undetermined_limit();</div>
|
||
|
|
<div class="line"><a id="l00652" name="l00652"></a><span class="lineno"> 652</span> <span class="keywordflow">case</span> GLP_NOFEAS:</div>
|
||
|
|
<div class="line"><a id="l00653" name="l00653"></a><span class="lineno"> 653</span> <span class="keywordflow">return</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#aaaafdf52dd4d552e04d416daeadbd81f">TerminateForReason</a>(TERMINATION_REASON_UNBOUNDED);</div>
|
||
|
|
<div class="line"><a id="l00654" name="l00654"></a><span class="lineno"> 654</span> <span class="keywordflow">default</span>:</div>
|
||
|
|
<div class="line"><a id="l00655" name="l00655"></a><span class="lineno"> 655</span> <span class="keywordflow">return</span> unexpected_dual_stat();</div>
|
||
|
|
<div class="line"><a id="l00656" name="l00656"></a><span class="lineno"> 656</span> }</div>
|
||
|
|
<div class="line"><a id="l00657" name="l00657"></a><span class="lineno"> 657</span> <span class="keywordflow">case</span> GLP_INFEAS:</div>
|
||
|
|
<div class="line"><a id="l00658" name="l00658"></a><span class="lineno"> 658</span> <span class="keywordflow">switch</span> (dual_status) {</div>
|
||
|
|
<div class="line"><a id="l00659" name="l00659"></a><span class="lineno"> 659</span> <span class="keywordflow">case</span> GLP_FEAS:</div>
|
||
|
|
<div class="line"><a id="l00660" name="l00660"></a><span class="lineno"> 660</span> <span class="keywordflow">case</span> GLP_INFEAS:</div>
|
||
|
|
<div class="line"><a id="l00661" name="l00661"></a><span class="lineno"> 661</span> <span class="keywordflow">return</span> undetermined_limit();</div>
|
||
|
|
<div class="line"><a id="l00662" name="l00662"></a><span class="lineno"> 662</span> <span class="keywordflow">case</span> GLP_NOFEAS:</div>
|
||
|
|
<div class="line"><a id="l00663" name="l00663"></a><span class="lineno"> 663</span> <span class="keywordflow">return</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#aaaafdf52dd4d552e04d416daeadbd81f">TerminateForReason</a>(TERMINATION_REASON_INFEASIBLE_OR_UNBOUNDED);</div>
|
||
|
|
<div class="line"><a id="l00664" name="l00664"></a><span class="lineno"> 664</span> <span class="keywordflow">default</span>:</div>
|
||
|
|
<div class="line"><a id="l00665" name="l00665"></a><span class="lineno"> 665</span> <span class="keywordflow">return</span> unexpected_dual_stat();</div>
|
||
|
|
<div class="line"><a id="l00666" name="l00666"></a><span class="lineno"> 666</span> }</div>
|
||
|
|
<div class="line"><a id="l00667" name="l00667"></a><span class="lineno"> 667</span> <span class="keywordflow">case</span> GLP_NOFEAS:</div>
|
||
|
|
<div class="line"><a id="l00668" name="l00668"></a><span class="lineno"> 668</span> <span class="keywordflow">switch</span> (dual_status) {</div>
|
||
|
|
<div class="line"><a id="l00669" name="l00669"></a><span class="lineno"> 669</span> <span class="keywordflow">case</span> GLP_FEAS:</div>
|
||
|
|
<div class="line"><a id="l00670" name="l00670"></a><span class="lineno"> 670</span> <span class="keywordflow">case</span> GLP_INFEAS:</div>
|
||
|
|
<div class="line"><a id="l00671" name="l00671"></a><span class="lineno"> 671</span> <span class="keywordflow">case</span> GLP_NOFEAS:</div>
|
||
|
|
<div class="line"><a id="l00672" name="l00672"></a><span class="lineno"> 672</span> <span class="comment">// Dual being feasible (GLP_FEAS) here would lead to dual unbounded;</span></div>
|
||
|
|
<div class="line"><a id="l00673" name="l00673"></a><span class="lineno"> 673</span> <span class="comment">// but this does not exist as a reason.</span></div>
|
||
|
|
<div class="line"><a id="l00674" name="l00674"></a><span class="lineno"> 674</span> <span class="comment">//</span></div>
|
||
|
|
<div class="line"><a id="l00675" name="l00675"></a><span class="lineno"> 675</span> <span class="comment">// If both the primal and dual are proven infeasible (GLP_NOFEAS), the</span></div>
|
||
|
|
<div class="line"><a id="l00676" name="l00676"></a><span class="lineno"> 676</span> <span class="comment">// primal wins. Maybe GLPK does never return that though since it</span></div>
|
||
|
|
<div class="line"><a id="l00677" name="l00677"></a><span class="lineno"> 677</span> <span class="comment">// implements either primal or dual simplex algorithm but does not</span></div>
|
||
|
|
<div class="line"><a id="l00678" name="l00678"></a><span class="lineno"> 678</span> <span class="comment">// combine both of them.</span></div>
|
||
|
|
<div class="line"><a id="l00679" name="l00679"></a><span class="lineno"> 679</span> <span class="keywordflow">return</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#aaaafdf52dd4d552e04d416daeadbd81f">TerminateForReason</a>(TERMINATION_REASON_INFEASIBLE);</div>
|
||
|
|
<div class="line"><a id="l00680" name="l00680"></a><span class="lineno"> 680</span> <span class="keywordflow">default</span>:</div>
|
||
|
|
<div class="line"><a id="l00681" name="l00681"></a><span class="lineno"> 681</span> <span class="keywordflow">return</span> unexpected_dual_stat();</div>
|
||
|
|
<div class="line"><a id="l00682" name="l00682"></a><span class="lineno"> 682</span> }</div>
|
||
|
|
<div class="line"><a id="l00683" name="l00683"></a><span class="lineno"> 683</span> <span class="keywordflow">default</span>:</div>
|
||
|
|
<div class="line"><a id="l00684" name="l00684"></a><span class="lineno"> 684</span> <span class="keywordflow">return</span> absl::InternalError(</div>
|
||
|
|
<div class="line"><a id="l00685" name="l00685"></a><span class="lineno"> 685</span> absl::StrCat(<span class="stringliteral">"glp_simplex() returned 0 but glp_get_prim_stat() "</span></div>
|
||
|
|
<div class="line"><a id="l00686" name="l00686"></a><span class="lineno"> 686</span> <span class="stringliteral">"returned the unexpected value "</span>,</div>
|
||
|
|
<div class="line"><a id="l00687" name="l00687"></a><span class="lineno"> 687</span> <a class="code hl_function" href="namespaceoperations__research.html#a934d1283f015d3a37d13a611d1be3725">SolutionStatusString</a>(prim_status)));</div>
|
||
|
|
<div class="line"><a id="l00688" name="l00688"></a><span class="lineno"> 688</span> }</div>
|
||
|
|
<div class="line"><a id="l00689" name="l00689"></a><span class="lineno"> 689</span>}</div>
|
||
|
|
<div class="line"><a id="l00690" name="l00690"></a><span class="lineno"> 690</span> </div>
|
||
|
|
<div class="line"><a id="l00691" name="l00691"></a><span class="lineno"> 691</span><span class="comment">// Returns the termination reason based on the return code rc of calling fn_name</span></div>
|
||
|
|
<div class="line"><a id="l00692" name="l00692"></a><span class="lineno"> 692</span><span class="comment">// function which is glp_simplex(), glp_interior() or glp_intopt().</span></div>
|
||
|
|
<div class="line"><a id="l00693" name="l00693"></a><span class="lineno"> 693</span><span class="comment">//</span></div>
|
||
|
|
<div class="line"><a id="l00694" name="l00694"></a><span class="lineno"> 694</span><span class="comment">// For return code 0 which means successful solve, the function</span></div>
|
||
|
|
<div class="line"><a id="l00695" name="l00695"></a><span class="lineno"> 695</span><span class="comment">// termination_on_success is called to build the termination. Other return</span></div>
|
||
|
|
<div class="line"><a id="l00696" name="l00696"></a><span class="lineno"> 696</span><span class="comment">// values (errors) are dealt with specifically.</span></div>
|
||
|
|
<div class="line"><a id="l00697" name="l00697"></a><span class="lineno"> 697</span><span class="comment">//</span></div>
|
||
|
|
<div class="line"><a id="l00698" name="l00698"></a><span class="lineno"> 698</span><span class="comment">// For glp_intopt(), the optional mip_cb_data is used to test for interruption</span></div>
|
||
|
|
<div class="line"><a id="l00699" name="l00699"></a><span class="lineno"> 699</span><span class="comment">// and the LIMIT_INTERRUPTED is set if the interrupter has been triggered (even</span></div>
|
||
|
|
<div class="line"><a id="l00700" name="l00700"></a><span class="lineno"> 700</span><span class="comment">// if the return code is 0).</span></div>
|
||
|
|
<div class="line"><a id="l00701" name="l00701"></a><span class="lineno"> 701</span><span class="comment">//</span></div>
|
||
|
|
<div class="line"><a id="l00702" name="l00702"></a><span class="lineno"> 702</span><span class="comment">// The parameters `(variable|linear_constraint)_ids` are the</span></div>
|
||
|
|
<div class="line"><a id="l00703" name="l00703"></a><span class="lineno"> 703</span><span class="comment">// `GlpkSolver::(LinearConstraints|Variables)::ids`.</span></div>
|
||
|
|
<div class="line"><a id="l00704" name="l00704"></a><span class="lineno"> 704</span>absl::StatusOr<TerminationProto> BuildTermination(</div>
|
||
|
|
<div class="line"><a id="l00705" name="l00705"></a><span class="lineno"> 705</span> glp_prob* <span class="keyword">const</span> problem, <span class="keyword">const</span> std::string_view fn_name, <span class="keyword">const</span> <span class="keywordtype">int</span> rc,</div>
|
||
|
|
<div class="line"><a id="l00706" name="l00706"></a><span class="lineno"> 706</span> <span class="keyword">const</span> std::function<absl::StatusOr<TerminationProto>(glp_prob*)></div>
|
||
|
|
<div class="line"><a id="l00707" name="l00707"></a><span class="lineno"> 707</span> termination_on_success,</div>
|
||
|
|
<div class="line"><a id="l00708" name="l00708"></a><span class="lineno"> 708</span> MipCallbackData* <span class="keyword">const</span> mip_cb_data, <span class="keyword">const</span> <span class="keywordtype">bool</span> has_feasible_solution,</div>
|
||
|
|
<div class="line"><a id="l00709" name="l00709"></a><span class="lineno"> 709</span> <span class="keyword">const</span> std::vector<int64_t>& <a class="code hl_variable" href="gscip__solver_8cc.html#a461bf2761c1dc652a0671e5e135b763a">variable_ids</a>,</div>
|
||
|
|
<div class="line"><a id="l00710" name="l00710"></a><span class="lineno"> 710</span> <span class="keyword">const</span> std::vector<int64_t>& linear_constraint_ids) {</div>
|
||
|
|
<div class="line"><a id="l00711" name="l00711"></a><span class="lineno"> 711</span> <span class="keywordflow">if</span> (mip_cb_data != <span class="keyword">nullptr</span> &&</div>
|
||
|
|
<div class="line"><a id="l00712" name="l00712"></a><span class="lineno"> 712</span> mip_cb_data->HasBeenInterruptedByInterrupter()) {</div>
|
||
|
|
<div class="line"><a id="l00713" name="l00713"></a><span class="lineno"> 713</span> <span class="keywordflow">return</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#a668d06f7223ec6ee9864205f1287bc80">TerminateForLimit</a>(LIMIT_INTERRUPTED,</div>
|
||
|
|
<div class="line"><a id="l00714" name="l00714"></a><span class="lineno"> 714</span> <span class="comment">/*feasible=*/</span>has_feasible_solution);</div>
|
||
|
|
<div class="line"><a id="l00715" name="l00715"></a><span class="lineno"> 715</span> }</div>
|
||
|
|
<div class="line"><a id="l00716" name="l00716"></a><span class="lineno"> 716</span> </div>
|
||
|
|
<div class="line"><a id="l00717" name="l00717"></a><span class="lineno"> 717</span> <span class="comment">// TODO(b/187027049): see if GLP_EOBJLL and GLP_EOBJUL should be handled with</span></div>
|
||
|
|
<div class="line"><a id="l00718" name="l00718"></a><span class="lineno"> 718</span> <span class="comment">// dual simplex.</span></div>
|
||
|
|
<div class="line"><a id="l00719" name="l00719"></a><span class="lineno"> 719</span> <span class="keywordflow">switch</span> (rc) {</div>
|
||
|
|
<div class="line"><a id="l00720" name="l00720"></a><span class="lineno"> 720</span> <span class="keywordflow">case</span> 0:</div>
|
||
|
|
<div class="line"><a id="l00721" name="l00721"></a><span class="lineno"> 721</span> <span class="keywordflow">return</span> termination_on_success(problem);</div>
|
||
|
|
<div class="line"><a id="l00722" name="l00722"></a><span class="lineno"> 722</span> <span class="keywordflow">case</span> GLP_EBOUND: {</div>
|
||
|
|
<div class="line"><a id="l00723" name="l00723"></a><span class="lineno"> 723</span> <span class="comment">// GLP_EBOUND is returned when a variable or a constraint has the GLP_DB</span></div>
|
||
|
|
<div class="line"><a id="l00724" name="l00724"></a><span class="lineno"> 724</span> <span class="comment">// bounds type and lower_bound >= upper_bound. The code in this file makes</span></div>
|
||
|
|
<div class="line"><a id="l00725" name="l00725"></a><span class="lineno"> 725</span> <span class="comment">// sure we don't use GLP_DB but GLP_FX when lower_bound == upper_bound</span></div>
|
||
|
|
<div class="line"><a id="l00726" name="l00726"></a><span class="lineno"> 726</span> <span class="comment">// thus we expect GLP_EBOUND only when lower_bound > upper_bound.</span></div>
|
||
|
|
<div class="line"><a id="l00727" name="l00727"></a><span class="lineno"> 727</span> <a class="code hl_define" href="base_2status__macros_8h.html#acdc223d8c59d5c591dc6b4e88257627b">RETURN_IF_ERROR</a>(</div>
|
||
|
|
<div class="line"><a id="l00728" name="l00728"></a><span class="lineno"> 728</span> ListInvertedBounds(problem,</div>
|
||
|
|
<div class="line"><a id="l00729" name="l00729"></a><span class="lineno"> 729</span> <span class="comment">/*variable_ids=*/</span><a class="code hl_variable" href="gscip__solver_8cc.html#a461bf2761c1dc652a0671e5e135b763a">variable_ids</a>,</div>
|
||
|
|
<div class="line"><a id="l00730" name="l00730"></a><span class="lineno"> 730</span> <span class="comment">/*linear_constraint_ids=*/</span>linear_constraint_ids)</div>
|
||
|
|
<div class="line"><a id="l00731" name="l00731"></a><span class="lineno"> 731</span> .ToStatus());</div>
|
||
|
|
<div class="line"><a id="l00732" name="l00732"></a><span class="lineno"> 732</span> <span class="keywordflow">return</span> <a class="code hl_function" href="namespaceutil.html#a302ee4bfcb86ea9ed64a193ed0b14648">util::InternalErrorBuilder</a>()</div>
|
||
|
|
<div class="line"><a id="l00733" name="l00733"></a><span class="lineno"> 733</span> << fn_name << <span class="stringliteral">"() returned `"</span> << <a class="code hl_function" href="namespaceoperations__research.html#a90d45f14d9a74cb49094695918d444d8">ReturnCodeString</a>(rc)</div>
|
||
|
|
<div class="line"><a id="l00734" name="l00734"></a><span class="lineno"> 734</span> << <span class="stringliteral">"` but the model does not contain variables with inverted "</span></div>
|
||
|
|
<div class="line"><a id="l00735" name="l00735"></a><span class="lineno"> 735</span> <span class="stringliteral">"bounds"</span>;</div>
|
||
|
|
<div class="line"><a id="l00736" name="l00736"></a><span class="lineno"> 736</span> }</div>
|
||
|
|
<div class="line"><a id="l00737" name="l00737"></a><span class="lineno"> 737</span> <span class="keywordflow">case</span> GLP_EITLIM:</div>
|
||
|
|
<div class="line"><a id="l00738" name="l00738"></a><span class="lineno"> 738</span> <span class="keywordflow">return</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#a668d06f7223ec6ee9864205f1287bc80">TerminateForLimit</a>(LIMIT_ITERATION,</div>
|
||
|
|
<div class="line"><a id="l00739" name="l00739"></a><span class="lineno"> 739</span> <span class="comment">/*feasible=*/</span>has_feasible_solution);</div>
|
||
|
|
<div class="line"><a id="l00740" name="l00740"></a><span class="lineno"> 740</span> <span class="keywordflow">case</span> GLP_ETMLIM:</div>
|
||
|
|
<div class="line"><a id="l00741" name="l00741"></a><span class="lineno"> 741</span> <span class="keywordflow">return</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#a668d06f7223ec6ee9864205f1287bc80">TerminateForLimit</a>(LIMIT_TIME, <span class="comment">/*feasible=*/</span>has_feasible_solution);</div>
|
||
|
|
<div class="line"><a id="l00742" name="l00742"></a><span class="lineno"> 742</span> <span class="keywordflow">case</span> GLP_EMIPGAP:</div>
|
||
|
|
<div class="line"><a id="l00743" name="l00743"></a><span class="lineno"> 743</span> <span class="keywordflow">return</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#aaaafdf52dd4d552e04d416daeadbd81f">TerminateForReason</a>(</div>
|
||
|
|
<div class="line"><a id="l00744" name="l00744"></a><span class="lineno"> 744</span> TERMINATION_REASON_OPTIMAL,</div>
|
||
|
|
<div class="line"><a id="l00745" name="l00745"></a><span class="lineno"> 745</span> <span class="comment">// absl::StrCat() does not compile with std::string_view on WASM.</span></div>
|
||
|
|
<div class="line"><a id="l00746" name="l00746"></a><span class="lineno"> 746</span> <span class="comment">//</span></div>
|
||
|
|
<div class="line"><a id="l00747" name="l00747"></a><span class="lineno"> 747</span> absl::StrCat(std::string(fn_name), <span class="stringliteral">"() returned "</span>,</div>
|
||
|
|
<div class="line"><a id="l00748" name="l00748"></a><span class="lineno"> 748</span> <a class="code hl_function" href="namespaceoperations__research.html#a90d45f14d9a74cb49094695918d444d8">ReturnCodeString</a>(rc)));</div>
|
||
|
|
<div class="line"><a id="l00749" name="l00749"></a><span class="lineno"> 749</span> <span class="keywordflow">case</span> GLP_ESTOP:</div>
|
||
|
|
<div class="line"><a id="l00750" name="l00750"></a><span class="lineno"> 750</span> <span class="keywordflow">return</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#a668d06f7223ec6ee9864205f1287bc80">TerminateForLimit</a>(LIMIT_INTERRUPTED,</div>
|
||
|
|
<div class="line"><a id="l00751" name="l00751"></a><span class="lineno"> 751</span> <span class="comment">/*feasible=*/</span>has_feasible_solution);</div>
|
||
|
|
<div class="line"><a id="l00752" name="l00752"></a><span class="lineno"> 752</span> <span class="keywordflow">case</span> GLP_ENOPFS:</div>
|
||
|
|
<div class="line"><a id="l00753" name="l00753"></a><span class="lineno"> 753</span> <span class="comment">// With presolve on, this error is returned if the LP has no feasible</span></div>
|
||
|
|
<div class="line"><a id="l00754" name="l00754"></a><span class="lineno"> 754</span> <span class="comment">// solution.</span></div>
|
||
|
|
<div class="line"><a id="l00755" name="l00755"></a><span class="lineno"> 755</span> <span class="keywordflow">return</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#aaaafdf52dd4d552e04d416daeadbd81f">TerminateForReason</a>(TERMINATION_REASON_INFEASIBLE);</div>
|
||
|
|
<div class="line"><a id="l00756" name="l00756"></a><span class="lineno"> 756</span> <span class="keywordflow">case</span> GLP_ENODFS:</div>
|
||
|
|
<div class="line"><a id="l00757" name="l00757"></a><span class="lineno"> 757</span> <span class="comment">// With presolve on, this error is returned if the LP has no dual</span></div>
|
||
|
|
<div class="line"><a id="l00758" name="l00758"></a><span class="lineno"> 758</span> <span class="comment">// feasible solution.</span></div>
|
||
|
|
<div class="line"><a id="l00759" name="l00759"></a><span class="lineno"> 759</span> <span class="keywordflow">return</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#aaaafdf52dd4d552e04d416daeadbd81f">TerminateForReason</a>(TERMINATION_REASON_INFEASIBLE_OR_UNBOUNDED);</div>
|
||
|
|
<div class="line"><a id="l00760" name="l00760"></a><span class="lineno"> 760</span> <span class="keywordflow">case</span> GLP_ENOCVG:</div>
|
||
|
|
<div class="line"><a id="l00761" name="l00761"></a><span class="lineno"> 761</span> <span class="comment">// Very slow convergence/divergence (for glp_interior).</span></div>
|
||
|
|
<div class="line"><a id="l00762" name="l00762"></a><span class="lineno"> 762</span> <span class="keywordflow">return</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#a668d06f7223ec6ee9864205f1287bc80">TerminateForLimit</a>(LIMIT_SLOW_PROGRESS,</div>
|
||
|
|
<div class="line"><a id="l00763" name="l00763"></a><span class="lineno"> 763</span> <span class="comment">/*feasible=*/</span>has_feasible_solution);</div>
|
||
|
|
<div class="line"><a id="l00764" name="l00764"></a><span class="lineno"> 764</span> <span class="keywordflow">case</span> GLP_EINSTAB:</div>
|
||
|
|
<div class="line"><a id="l00765" name="l00765"></a><span class="lineno"> 765</span> <span class="comment">// Numeric stability solving Newtonian system (for glp_interior).</span></div>
|
||
|
|
<div class="line"><a id="l00766" name="l00766"></a><span class="lineno"> 766</span> <span class="keywordflow">return</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#aaaafdf52dd4d552e04d416daeadbd81f">TerminateForReason</a>(</div>
|
||
|
|
<div class="line"><a id="l00767" name="l00767"></a><span class="lineno"> 767</span> TERMINATION_REASON_NUMERICAL_ERROR,</div>
|
||
|
|
<div class="line"><a id="l00768" name="l00768"></a><span class="lineno"> 768</span> <span class="comment">// absl::StrCat() does not compile with std::string_view on WASM.</span></div>
|
||
|
|
<div class="line"><a id="l00769" name="l00769"></a><span class="lineno"> 769</span> <span class="comment">//</span></div>
|
||
|
|
<div class="line"><a id="l00770" name="l00770"></a><span class="lineno"> 770</span> absl::StrCat(std::string(fn_name), <span class="stringliteral">"() returned "</span>,</div>
|
||
|
|
<div class="line"><a id="l00771" name="l00771"></a><span class="lineno"> 771</span> <a class="code hl_function" href="namespaceoperations__research.html#a90d45f14d9a74cb49094695918d444d8">ReturnCodeString</a>(rc),</div>
|
||
|
|
<div class="line"><a id="l00772" name="l00772"></a><span class="lineno"> 772</span> <span class="stringliteral">" which means that there is a numeric stability issue "</span></div>
|
||
|
|
<div class="line"><a id="l00773" name="l00773"></a><span class="lineno"> 773</span> <span class="stringliteral">"solving Newtonian system"</span>));</div>
|
||
|
|
<div class="line"><a id="l00774" name="l00774"></a><span class="lineno"> 774</span> <span class="keywordflow">default</span>:</div>
|
||
|
|
<div class="line"><a id="l00775" name="l00775"></a><span class="lineno"> 775</span> <span class="keywordflow">return</span> <a class="code hl_function" href="namespaceutil.html#a302ee4bfcb86ea9ed64a193ed0b14648">util::InternalErrorBuilder</a>()</div>
|
||
|
|
<div class="line"><a id="l00776" name="l00776"></a><span class="lineno"> 776</span> << fn_name</div>
|
||
|
|
<div class="line"><a id="l00777" name="l00777"></a><span class="lineno"> 777</span> << <span class="stringliteral">"() returned unexpected value: "</span> << <a class="code hl_function" href="namespaceoperations__research.html#a90d45f14d9a74cb49094695918d444d8">ReturnCodeString</a>(rc);</div>
|
||
|
|
<div class="line"><a id="l00778" name="l00778"></a><span class="lineno"> 778</span> }</div>
|
||
|
|
<div class="line"><a id="l00779" name="l00779"></a><span class="lineno"> 779</span>}</div>
|
||
|
|
<div class="line"><a id="l00780" name="l00780"></a><span class="lineno"> 780</span> </div>
|
||
|
|
<div class="line"><a id="l00781" name="l00781"></a><span class="lineno"> 781</span><span class="keyword">class </span>TermHookData {</div>
|
||
|
|
<div class="line"><a id="l00782" name="l00782"></a><span class="lineno"> 782</span> <span class="keyword">public</span>:</div>
|
||
|
|
<div class="line"><a id="l00783" name="l00783"></a><span class="lineno"> 783</span> <span class="keyword">explicit</span> TermHookData(<a class="code hl_typedef" href="classoperations__research_1_1math__opt_1_1_solver_interface.html#aad3360b1947c772bebf3d3cfb2105a15">SolverInterface::MessageCallback</a> <a class="code hl_variable" href="gurobi__interface_8cc.html#a6627a3800ac768bb5528ef54c9cace36">callback</a>)</div>
|
||
|
|
<div class="line"><a id="l00784" name="l00784"></a><span class="lineno"> 784</span> : callback_(<a class="code hl_namespace" href="namespacestd.html">std</a>::move(<a class="code hl_variable" href="gurobi__interface_8cc.html#a6627a3800ac768bb5528ef54c9cace36">callback</a>)) {}</div>
|
||
|
|
<div class="line"><a id="l00785" name="l00785"></a><span class="lineno"> 785</span> </div>
|
||
|
|
<div class="line"><a id="l00786" name="l00786"></a><span class="lineno"> 786</span> <span class="keywordtype">void</span> Parse(<span class="keyword">const</span> std::string_view <a class="code hl_variable" href="trace_8cc.html#a36bd74109f547f7f8198faf5a12d2879">message</a>) {</div>
|
||
|
|
<div class="line"><a id="l00787" name="l00787"></a><span class="lineno"> 787</span> <span class="comment">// Here we keep the lock while calling the callback. This should not be an</span></div>
|
||
|
|
<div class="line"><a id="l00788" name="l00788"></a><span class="lineno"> 788</span> <span class="comment">// issue since we don't expect code in a message callback to trigger a new</span></div>
|
||
|
|
<div class="line"><a id="l00789" name="l00789"></a><span class="lineno"> 789</span> <span class="comment">// message. On top of that, for proper interleaving it may be better to use</span></div>
|
||
|
|
<div class="line"><a id="l00790" name="l00790"></a><span class="lineno"> 790</span> <span class="comment">// the lock anyway.</span></div>
|
||
|
|
<div class="line"><a id="l00791" name="l00791"></a><span class="lineno"> 791</span> <span class="keyword">const</span> absl::MutexLock lock(&mutex_);</div>
|
||
|
|
<div class="line"><a id="l00792" name="l00792"></a><span class="lineno"> 792</span> std::vector<std::string> new_lines = buffer_.Parse(<a class="code hl_variable" href="trace_8cc.html#a36bd74109f547f7f8198faf5a12d2879">message</a>);</div>
|
||
|
|
<div class="line"><a id="l00793" name="l00793"></a><span class="lineno"> 793</span> <span class="keywordflow">if</span> (!new_lines.empty()) {</div>
|
||
|
|
<div class="line"><a id="l00794" name="l00794"></a><span class="lineno"> 794</span> callback_(new_lines);</div>
|
||
|
|
<div class="line"><a id="l00795" name="l00795"></a><span class="lineno"> 795</span> }</div>
|
||
|
|
<div class="line"><a id="l00796" name="l00796"></a><span class="lineno"> 796</span> }</div>
|
||
|
|
<div class="line"><a id="l00797" name="l00797"></a><span class="lineno"> 797</span> </div>
|
||
|
|
<div class="line"><a id="l00798" name="l00798"></a><span class="lineno"> 798</span> <span class="comment">// Flushes the buffer and calls the callback if the result is not empty.</span></div>
|
||
|
|
<div class="line"><a id="l00799" name="l00799"></a><span class="lineno"> 799</span> <span class="keywordtype">void</span> Flush() {</div>
|
||
|
|
<div class="line"><a id="l00800" name="l00800"></a><span class="lineno"> 800</span> <span class="comment">// See comment in Parse() about holding the lock while calling the callback.</span></div>
|
||
|
|
<div class="line"><a id="l00801" name="l00801"></a><span class="lineno"> 801</span> <span class="keyword">const</span> absl::MutexLock lock(&mutex_);</div>
|
||
|
|
<div class="line"><a id="l00802" name="l00802"></a><span class="lineno"> 802</span> std::vector<std::string> new_lines = buffer_.Flush();</div>
|
||
|
|
<div class="line"><a id="l00803" name="l00803"></a><span class="lineno"> 803</span> <span class="keywordflow">if</span> (!new_lines.empty()) {</div>
|
||
|
|
<div class="line"><a id="l00804" name="l00804"></a><span class="lineno"> 804</span> callback_(new_lines);</div>
|
||
|
|
<div class="line"><a id="l00805" name="l00805"></a><span class="lineno"> 805</span> }</div>
|
||
|
|
<div class="line"><a id="l00806" name="l00806"></a><span class="lineno"> 806</span> }</div>
|
||
|
|
<div class="line"><a id="l00807" name="l00807"></a><span class="lineno"> 807</span> </div>
|
||
|
|
<div class="line"><a id="l00808" name="l00808"></a><span class="lineno"> 808</span> <span class="keyword">private</span>:</div>
|
||
|
|
<div class="line"><a id="l00809" name="l00809"></a><span class="lineno"> 809</span> absl::Mutex mutex_;</div>
|
||
|
|
<div class="line"><a id="l00810" name="l00810"></a><span class="lineno"> 810</span> MessageCallbackData buffer_ ABSL_GUARDED_BY(mutex_);</div>
|
||
|
|
<div class="line"><a id="l00811" name="l00811"></a><span class="lineno"> 811</span> <span class="keyword">const</span> <a class="code hl_typedef" href="classoperations__research_1_1math__opt_1_1_solver_interface.html#aad3360b1947c772bebf3d3cfb2105a15">SolverInterface::MessageCallback</a> callback_;</div>
|
||
|
|
<div class="line"><a id="l00812" name="l00812"></a><span class="lineno"> 812</span>};</div>
|
||
|
|
<div class="line"><a id="l00813" name="l00813"></a><span class="lineno"> 813</span> </div>
|
||
|
|
<div class="line"><a id="l00814" name="l00814"></a><span class="lineno"> 814</span><span class="comment">// Callback for glp_term_hook().</span></div>
|
||
|
|
<div class="line"><a id="l00815" name="l00815"></a><span class="lineno"> 815</span><span class="comment">//</span></div>
|
||
|
|
<div class="line"><a id="l00816" name="l00816"></a><span class="lineno"> 816</span><span class="comment">// It expects `info` to be a pointer on a TermHookData.</span></div>
|
||
|
|
<div class="line"><a id="l00817" name="l00817"></a><span class="lineno"> 817</span><span class="keywordtype">int</span> TermHook(<span class="keywordtype">void</span>* <span class="keyword">const</span> info, <span class="keyword">const</span> <span class="keywordtype">char</span>* <span class="keyword">const</span> <a class="code hl_variable" href="trace_8cc.html#a36bd74109f547f7f8198faf5a12d2879">message</a>) {</div>
|
||
|
|
<div class="line"><a id="l00818" name="l00818"></a><span class="lineno"> 818</span> <span class="keyword">static_cast<</span>TermHookData*<span class="keyword">></span>(info)->Parse(<a class="code hl_variable" href="trace_8cc.html#a36bd74109f547f7f8198faf5a12d2879">message</a>);</div>
|
||
|
|
<div class="line"><a id="l00819" name="l00819"></a><span class="lineno"> 819</span> </div>
|
||
|
|
<div class="line"><a id="l00820" name="l00820"></a><span class="lineno"> 820</span> <span class="comment">// Returns non-zero to remove any terminal output.</span></div>
|
||
|
|
<div class="line"><a id="l00821" name="l00821"></a><span class="lineno"> 821</span> <span class="keywordflow">return</span> 1;</div>
|
||
|
|
<div class="line"><a id="l00822" name="l00822"></a><span class="lineno"> 822</span>}</div>
|
||
|
|
<div class="line"><a id="l00823" name="l00823"></a><span class="lineno"> 823</span> </div>
|
||
|
|
<div class="line"><a id="l00824" name="l00824"></a><span class="lineno"> 824</span><span class="comment">// Returns the objective offset. This is used as a placeholder for function</span></div>
|
||
|
|
<div class="line"><a id="l00825" name="l00825"></a><span class="lineno"> 825</span><span class="comment">// returning the objective value for solve method not supporting solving empty</span></div>
|
||
|
|
<div class="line"><a id="l00826" name="l00826"></a><span class="lineno"> 826</span><span class="comment">// models (glp_exact() and glp_interior()).</span></div>
|
||
|
|
<div class="line"><a id="l00827" name="l00827"></a><span class="lineno"> 827</span><span class="keywordtype">double</span> OffsetOnlyObjVal(glp_prob* <span class="keyword">const</span> problem) {</div>
|
||
|
|
<div class="line"><a id="l00828" name="l00828"></a><span class="lineno"> 828</span> <span class="keywordflow">return</span> glp_get_obj_coef(problem, 0);</div>
|
||
|
|
<div class="line"><a id="l00829" name="l00829"></a><span class="lineno"> 829</span>}</div>
|
||
|
|
<div class="line"><a id="l00830" name="l00830"></a><span class="lineno"> 830</span> </div>
|
||
|
|
<div class="line"><a id="l00831" name="l00831"></a><span class="lineno"> 831</span><span class="comment">// Returns GLP_OPT. This is used as a placeholder for function returning the</span></div>
|
||
|
|
<div class="line"><a id="l00832" name="l00832"></a><span class="lineno"> 832</span><span class="comment">// status for solve method not supporting solving empty models (glp_exact() and</span></div>
|
||
|
|
<div class="line"><a id="l00833" name="l00833"></a><span class="lineno"> 833</span><span class="comment">// glp_interior()).</span></div>
|
||
|
|
<div class="line"><a id="l00834" name="l00834"></a><span class="lineno"> 834</span><span class="keywordtype">int</span> OptStatus(glp_prob*) { <span class="keywordflow">return</span> GLP_OPT; }</div>
|
||
|
|
<div class="line"><a id="l00835" name="l00835"></a><span class="lineno"> 835</span> </div>
|
||
|
|
<div class="line"><a id="l00836" name="l00836"></a><span class="lineno"> 836</span><span class="comment">// Returns the error when a model or an update contains a quadratic objective.</span></div>
|
||
|
|
<div class="line"><a id="l00837" name="l00837"></a><span class="lineno"> 837</span>absl::Status QuadraticObjectiveError() {</div>
|
||
|
|
<div class="line"><a id="l00838" name="l00838"></a><span class="lineno"> 838</span> <span class="keywordflow">return</span> absl::InvalidArgumentError(</div>
|
||
|
|
<div class="line"><a id="l00839" name="l00839"></a><span class="lineno"> 839</span> <span class="stringliteral">"GLPK does not support quadratic objectives"</span>);</div>
|
||
|
|
<div class="line"><a id="l00840" name="l00840"></a><span class="lineno"> 840</span>}</div>
|
||
|
|
<div class="line"><a id="l00841" name="l00841"></a><span class="lineno"> 841</span> </div>
|
||
|
|
<div class="line"><a id="l00842" name="l00842"></a><span class="lineno"> 842</span>} <span class="comment">// namespace</span></div>
|
||
|
|
<div class="line"><a id="l00843" name="l00843"></a><span class="lineno"> 843</span> </div>
|
||
|
|
<div class="line"><a id="l00844" name="l00844"></a><span class="lineno"><a class="line" href="classoperations__research_1_1math__opt_1_1_glpk_solver.html#a61ac0bc6afed786de631c4a91faeb866"> 844</a></span>absl::StatusOr<std::unique_ptr<SolverInterface>> <a class="code hl_function" href="classoperations__research_1_1math__opt_1_1_glpk_solver.html#a61ac0bc6afed786de631c4a91faeb866">GlpkSolver::New</a>(</div>
|
||
|
|
<div class="line"><a id="l00845" name="l00845"></a><span class="lineno"> 845</span> <span class="keyword">const</span> ModelProto& <a class="code hl_variable" href="gurobi__interface_8cc.html#a0728f23c9a47655d38e0bf1a2f200bcf">model</a>, <span class="keyword">const</span> <a class="code hl_struct" href="structoperations__research_1_1math__opt_1_1_solver_interface_1_1_init_args.html">InitArgs</a>& init_args) {</div>
|
||
|
|
<div class="line"><a id="l00846" name="l00846"></a><span class="lineno"> 846</span> <span class="keywordflow">if</span> (!<a class="code hl_variable" href="gurobi__interface_8cc.html#a0728f23c9a47655d38e0bf1a2f200bcf">model</a>.objective().quadratic_coefficients().row_ids().empty()) {</div>
|
||
|
|
<div class="line"><a id="l00847" name="l00847"></a><span class="lineno"> 847</span> <span class="keywordflow">return</span> QuadraticObjectiveError();</div>
|
||
|
|
<div class="line"><a id="l00848" name="l00848"></a><span class="lineno"> 848</span> }</div>
|
||
|
|
<div class="line"><a id="l00849" name="l00849"></a><span class="lineno"> 849</span> <span class="keywordflow">return</span> absl::WrapUnique(<span class="keyword">new</span> <a class="code hl_class" href="classoperations__research_1_1math__opt_1_1_glpk_solver.html">GlpkSolver</a>(<a class="code hl_variable" href="gurobi__interface_8cc.html#a0728f23c9a47655d38e0bf1a2f200bcf">model</a>));</div>
|
||
|
|
<div class="line"><a id="l00850" name="l00850"></a><span class="lineno"> 850</span>}</div>
|
||
|
|
<div class="line"><a id="l00851" name="l00851"></a><span class="lineno"> 851</span> </div>
|
||
|
|
<div class="line"><a id="l00852" name="l00852"></a><span class="lineno"> 852</span>GlpkSolver::GlpkSolver(<span class="keyword">const</span> ModelProto& <a class="code hl_variable" href="gurobi__interface_8cc.html#a0728f23c9a47655d38e0bf1a2f200bcf">model</a>) : problem_(glp_create_prob()) {</div>
|
||
|
|
<div class="line"><a id="l00853" name="l00853"></a><span class="lineno"> 853</span> <span class="comment">// Make sure glp_free_env() is called at the exit of the current thread.</span></div>
|
||
|
|
<div class="line"><a id="l00854" name="l00854"></a><span class="lineno"> 854</span> <a class="code hl_function" href="namespaceoperations__research.html#afa0e53e4462391903db0d0c77f8cecd0">SetupGlpkEnvAutomaticDeletion</a>();</div>
|
||
|
|
<div class="line"><a id="l00855" name="l00855"></a><span class="lineno"> 855</span> </div>
|
||
|
|
<div class="line"><a id="l00856" name="l00856"></a><span class="lineno"> 856</span> glp_set_prob_name(problem_, <a class="code hl_function" href="namespaceoperations__research.html#abf51c853d314713db5429bcdb29c540d">TruncateAndQuoteGLPKName</a>(<a class="code hl_variable" href="gurobi__interface_8cc.html#a0728f23c9a47655d38e0bf1a2f200bcf">model</a>.name()).c_str());</div>
|
||
|
|
<div class="line"><a id="l00857" name="l00857"></a><span class="lineno"> 857</span> </div>
|
||
|
|
<div class="line"><a id="l00858" name="l00858"></a><span class="lineno"> 858</span> AddVariables(<a class="code hl_variable" href="gurobi__interface_8cc.html#a0728f23c9a47655d38e0bf1a2f200bcf">model</a>.variables());</div>
|
||
|
|
<div class="line"><a id="l00859" name="l00859"></a><span class="lineno"> 859</span> </div>
|
||
|
|
<div class="line"><a id="l00860" name="l00860"></a><span class="lineno"> 860</span> AddLinearConstraints(<a class="code hl_variable" href="gurobi__interface_8cc.html#a0728f23c9a47655d38e0bf1a2f200bcf">model</a>.linear_constraints());</div>
|
||
|
|
<div class="line"><a id="l00861" name="l00861"></a><span class="lineno"> 861</span> </div>
|
||
|
|
<div class="line"><a id="l00862" name="l00862"></a><span class="lineno"> 862</span> glp_set_obj_dir(problem_, <a class="code hl_variable" href="gurobi__interface_8cc.html#a0728f23c9a47655d38e0bf1a2f200bcf">model</a>.objective().maximize() ? GLP_MAX : GLP_MIN);</div>
|
||
|
|
<div class="line"><a id="l00863" name="l00863"></a><span class="lineno"> 863</span> <span class="comment">// Glpk uses index 0 for the "shift" of the objective.</span></div>
|
||
|
|
<div class="line"><a id="l00864" name="l00864"></a><span class="lineno"> 864</span> glp_set_obj_coef(problem_, 0, <a class="code hl_variable" href="gurobi__interface_8cc.html#a0728f23c9a47655d38e0bf1a2f200bcf">model</a>.objective().offset());</div>
|
||
|
|
<div class="line"><a id="l00865" name="l00865"></a><span class="lineno"> 865</span> <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span> [v, <a class="code hl_variable" href="variable__and__expressions_8cc.html#a2091cd7d80fdd31762020bce86138587">coeff</a>] :</div>
|
||
|
|
<div class="line"><a id="l00866" name="l00866"></a><span class="lineno"> 866</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#a80e158d48db32a3bbbe915179b36e405">MakeView</a>(<a class="code hl_variable" href="gurobi__interface_8cc.html#a0728f23c9a47655d38e0bf1a2f200bcf">model</a>.objective().linear_coefficients())) {</div>
|
||
|
|
<div class="line"><a id="l00867" name="l00867"></a><span class="lineno"> 867</span> <span class="keyword">const</span> <span class="keywordtype">int</span> col_index = variables_.id_to_index.at(v);</div>
|
||
|
|
<div class="line"><a id="l00868" name="l00868"></a><span class="lineno"> 868</span> <a class="code hl_define" href="base_2logging_8h.html#a7c0ce053b28d53aa4eaf3eb7fb71663b">CHECK_EQ</a>(variables_.ids[col_index - 1], v);</div>
|
||
|
|
<div class="line"><a id="l00869" name="l00869"></a><span class="lineno"> 869</span> glp_set_obj_coef(problem_, col_index, <a class="code hl_variable" href="variable__and__expressions_8cc.html#a2091cd7d80fdd31762020bce86138587">coeff</a>);</div>
|
||
|
|
<div class="line"><a id="l00870" name="l00870"></a><span class="lineno"> 870</span> }</div>
|
||
|
|
<div class="line"><a id="l00871" name="l00871"></a><span class="lineno"> 871</span> </div>
|
||
|
|
<div class="line"><a id="l00872" name="l00872"></a><span class="lineno"> 872</span> <span class="keyword">const</span> SparseDoubleMatrixProto& proto_matrix =</div>
|
||
|
|
<div class="line"><a id="l00873" name="l00873"></a><span class="lineno"> 873</span> <a class="code hl_variable" href="gurobi__interface_8cc.html#a0728f23c9a47655d38e0bf1a2f200bcf">model</a>.linear_constraint_matrix();</div>
|
||
|
|
<div class="line"><a id="l00874" name="l00874"></a><span class="lineno"> 874</span> glp_load_matrix(</div>
|
||
|
|
<div class="line"><a id="l00875" name="l00875"></a><span class="lineno"> 875</span> problem_, proto_matrix.row_ids_size(),</div>
|
||
|
|
<div class="line"><a id="l00876" name="l00876"></a><span class="lineno"> 876</span> MatrixIds(proto_matrix.row_ids(), linear_constraints_.id_to_index).data(),</div>
|
||
|
|
<div class="line"><a id="l00877" name="l00877"></a><span class="lineno"> 877</span> MatrixIds(proto_matrix.column_ids(), variables_.id_to_index).data(),</div>
|
||
|
|
<div class="line"><a id="l00878" name="l00878"></a><span class="lineno"> 878</span> MatrixCoefficients(proto_matrix.coefficients()).data());</div>
|
||
|
|
<div class="line"><a id="l00879" name="l00879"></a><span class="lineno"> 879</span>}</div>
|
||
|
|
<div class="line"><a id="l00880" name="l00880"></a><span class="lineno"> 880</span> </div>
|
||
|
|
<div class="line"><a id="l00881" name="l00881"></a><span class="lineno"><a class="line" href="classoperations__research_1_1math__opt_1_1_glpk_solver.html#a76b75fc352b0c95032a58aa7600a47f4"> 881</a></span><a class="code hl_function" href="classoperations__research_1_1math__opt_1_1_glpk_solver.html#a76b75fc352b0c95032a58aa7600a47f4">GlpkSolver::~GlpkSolver</a>() { glp_delete_prob(problem_); }</div>
|
||
|
|
<div class="line"><a id="l00882" name="l00882"></a><span class="lineno"> 882</span> </div>
|
||
|
|
<div class="line"><a id="l00883" name="l00883"></a><span class="lineno"> 883</span><span class="keyword">namespace </span>{</div>
|
||
|
|
<div class="line"><a id="l00884" name="l00884"></a><span class="lineno"> 884</span> </div>
|
||
|
|
<div class="line"><a id="l00885" name="l00885"></a><span class="lineno"> 885</span>ProblemStatusProto GetMipProblemStatusProto(<span class="keyword">const</span> <span class="keywordtype">int</span> rc, <span class="keyword">const</span> <span class="keywordtype">int</span> mip_status,</div>
|
||
|
|
<div class="line"><a id="l00886" name="l00886"></a><span class="lineno"> 886</span> <span class="keyword">const</span> <span class="keywordtype">bool</span> has_finite_dual_bound) {</div>
|
||
|
|
<div class="line"><a id="l00887" name="l00887"></a><span class="lineno"> 887</span> ProblemStatusProto problem_status;</div>
|
||
|
|
<div class="line"><a id="l00888" name="l00888"></a><span class="lineno"> 888</span> problem_status.set_primal_status(FEASIBILITY_STATUS_UNDETERMINED);</div>
|
||
|
|
<div class="line"><a id="l00889" name="l00889"></a><span class="lineno"> 889</span> problem_status.set_dual_status(FEASIBILITY_STATUS_UNDETERMINED);</div>
|
||
|
|
<div class="line"><a id="l00890" name="l00890"></a><span class="lineno"> 890</span> </div>
|
||
|
|
<div class="line"><a id="l00891" name="l00891"></a><span class="lineno"> 891</span> <span class="keywordflow">switch</span> (rc) {</div>
|
||
|
|
<div class="line"><a id="l00892" name="l00892"></a><span class="lineno"> 892</span> <span class="keywordflow">case</span> GLP_ENOPFS:</div>
|
||
|
|
<div class="line"><a id="l00893" name="l00893"></a><span class="lineno"> 893</span> problem_status.set_primal_status(FEASIBILITY_STATUS_INFEASIBLE);</div>
|
||
|
|
<div class="line"><a id="l00894" name="l00894"></a><span class="lineno"> 894</span> <span class="keywordflow">return</span> problem_status;</div>
|
||
|
|
<div class="line"><a id="l00895" name="l00895"></a><span class="lineno"> 895</span> <span class="keywordflow">case</span> GLP_ENODFS:</div>
|
||
|
|
<div class="line"><a id="l00896" name="l00896"></a><span class="lineno"> 896</span> problem_status.set_dual_status(FEASIBILITY_STATUS_INFEASIBLE);</div>
|
||
|
|
<div class="line"><a id="l00897" name="l00897"></a><span class="lineno"> 897</span> <span class="keywordflow">return</span> problem_status;</div>
|
||
|
|
<div class="line"><a id="l00898" name="l00898"></a><span class="lineno"> 898</span> }</div>
|
||
|
|
<div class="line"><a id="l00899" name="l00899"></a><span class="lineno"> 899</span> </div>
|
||
|
|
<div class="line"><a id="l00900" name="l00900"></a><span class="lineno"> 900</span> <span class="keywordflow">switch</span> (mip_status) {</div>
|
||
|
|
<div class="line"><a id="l00901" name="l00901"></a><span class="lineno"> 901</span> <span class="keywordflow">case</span> GLP_OPT:</div>
|
||
|
|
<div class="line"><a id="l00902" name="l00902"></a><span class="lineno"> 902</span> problem_status.set_primal_status(FEASIBILITY_STATUS_FEASIBLE);</div>
|
||
|
|
<div class="line"><a id="l00903" name="l00903"></a><span class="lineno"> 903</span> problem_status.set_dual_status(FEASIBILITY_STATUS_FEASIBLE);</div>
|
||
|
|
<div class="line"><a id="l00904" name="l00904"></a><span class="lineno"> 904</span> <span class="keywordflow">return</span> problem_status;</div>
|
||
|
|
<div class="line"><a id="l00905" name="l00905"></a><span class="lineno"> 905</span> <span class="keywordflow">case</span> GLP_FEAS:</div>
|
||
|
|
<div class="line"><a id="l00906" name="l00906"></a><span class="lineno"> 906</span> problem_status.set_primal_status(FEASIBILITY_STATUS_FEASIBLE);</div>
|
||
|
|
<div class="line"><a id="l00907" name="l00907"></a><span class="lineno"> 907</span> <span class="keywordflow">break</span>;</div>
|
||
|
|
<div class="line"><a id="l00908" name="l00908"></a><span class="lineno"> 908</span> <span class="keywordflow">case</span> GLP_NOFEAS:</div>
|
||
|
|
<div class="line"><a id="l00909" name="l00909"></a><span class="lineno"> 909</span> problem_status.set_primal_status(FEASIBILITY_STATUS_INFEASIBLE);</div>
|
||
|
|
<div class="line"><a id="l00910" name="l00910"></a><span class="lineno"> 910</span> <span class="keywordflow">break</span>;</div>
|
||
|
|
<div class="line"><a id="l00911" name="l00911"></a><span class="lineno"> 911</span> }</div>
|
||
|
|
<div class="line"><a id="l00912" name="l00912"></a><span class="lineno"> 912</span> </div>
|
||
|
|
<div class="line"><a id="l00913" name="l00913"></a><span class="lineno"> 913</span> <span class="keywordflow">if</span> (has_finite_dual_bound) {</div>
|
||
|
|
<div class="line"><a id="l00914" name="l00914"></a><span class="lineno"> 914</span> problem_status.set_dual_status(FEASIBILITY_STATUS_FEASIBLE);</div>
|
||
|
|
<div class="line"><a id="l00915" name="l00915"></a><span class="lineno"> 915</span> }</div>
|
||
|
|
<div class="line"><a id="l00916" name="l00916"></a><span class="lineno"> 916</span> <span class="keywordflow">return</span> problem_status;</div>
|
||
|
|
<div class="line"><a id="l00917" name="l00917"></a><span class="lineno"> 917</span>}</div>
|
||
|
|
<div class="line"><a id="l00918" name="l00918"></a><span class="lineno"> 918</span> </div>
|
||
|
|
<div class="line"><a id="l00919" name="l00919"></a><span class="lineno"> 919</span>absl::StatusOr<FeasibilityStatusProto> TranslateProblemStatus(</div>
|
||
|
|
<div class="line"><a id="l00920" name="l00920"></a><span class="lineno"> 920</span> <span class="keyword">const</span> <span class="keywordtype">int</span> glpk_status, <span class="keyword">const</span> absl::string_view fn_name) {</div>
|
||
|
|
<div class="line"><a id="l00921" name="l00921"></a><span class="lineno"> 921</span> <span class="keywordflow">switch</span> (glpk_status) {</div>
|
||
|
|
<div class="line"><a id="l00922" name="l00922"></a><span class="lineno"> 922</span> <span class="keywordflow">case</span> GLP_FEAS:</div>
|
||
|
|
<div class="line"><a id="l00923" name="l00923"></a><span class="lineno"> 923</span> <span class="keywordflow">return</span> FEASIBILITY_STATUS_FEASIBLE;</div>
|
||
|
|
<div class="line"><a id="l00924" name="l00924"></a><span class="lineno"> 924</span> <span class="keywordflow">case</span> GLP_NOFEAS:</div>
|
||
|
|
<div class="line"><a id="l00925" name="l00925"></a><span class="lineno"> 925</span> <span class="keywordflow">return</span> FEASIBILITY_STATUS_INFEASIBLE;</div>
|
||
|
|
<div class="line"><a id="l00926" name="l00926"></a><span class="lineno"> 926</span> <span class="keywordflow">case</span> GLP_INFEAS:</div>
|
||
|
|
<div class="line"><a id="l00927" name="l00927"></a><span class="lineno"> 927</span> <span class="keywordflow">case</span> GLP_UNDEF:</div>
|
||
|
|
<div class="line"><a id="l00928" name="l00928"></a><span class="lineno"> 928</span> <span class="keywordflow">return</span> FEASIBILITY_STATUS_UNDETERMINED;</div>
|
||
|
|
<div class="line"><a id="l00929" name="l00929"></a><span class="lineno"> 929</span> <span class="keywordflow">default</span>:</div>
|
||
|
|
<div class="line"><a id="l00930" name="l00930"></a><span class="lineno"> 930</span> <span class="keywordflow">return</span> absl::InternalError(</div>
|
||
|
|
<div class="line"><a id="l00931" name="l00931"></a><span class="lineno"> 931</span> absl::StrCat(fn_name, <span class="stringliteral">" returned the unexpected value "</span>,</div>
|
||
|
|
<div class="line"><a id="l00932" name="l00932"></a><span class="lineno"> 932</span> <a class="code hl_function" href="namespaceoperations__research.html#a934d1283f015d3a37d13a611d1be3725">SolutionStatusString</a>(glpk_status)));</div>
|
||
|
|
<div class="line"><a id="l00933" name="l00933"></a><span class="lineno"> 933</span> }</div>
|
||
|
|
<div class="line"><a id="l00934" name="l00934"></a><span class="lineno"> 934</span>}</div>
|
||
|
|
<div class="line"><a id="l00935" name="l00935"></a><span class="lineno"> 935</span> </div>
|
||
|
|
<div class="line"><a id="l00936" name="l00936"></a><span class="lineno"> 936</span><span class="comment">// Builds problem status from:</span></div>
|
||
|
|
<div class="line"><a id="l00937" name="l00937"></a><span class="lineno"> 937</span><span class="comment">// * glp_simplex_rc: code returned by glp_simplex.</span></div>
|
||
|
|
<div class="line"><a id="l00938" name="l00938"></a><span class="lineno"> 938</span><span class="comment">// * glpk_primal_status: primal status returned by glp_get_prim_stat.</span></div>
|
||
|
|
<div class="line"><a id="l00939" name="l00939"></a><span class="lineno"> 939</span><span class="comment">// * glpk_dual_status: dual status returned by glp_get_dual_stat.</span></div>
|
||
|
|
<div class="line"><a id="l00940" name="l00940"></a><span class="lineno"> 940</span>absl::StatusOr<ProblemStatusProto> GetSimplexProblemStatusProto(</div>
|
||
|
|
<div class="line"><a id="l00941" name="l00941"></a><span class="lineno"> 941</span> <span class="keyword">const</span> <span class="keywordtype">int</span> glp_simplex_rc, <span class="keyword">const</span> <span class="keywordtype">int</span> glpk_primal_status,</div>
|
||
|
|
<div class="line"><a id="l00942" name="l00942"></a><span class="lineno"> 942</span> <span class="keyword">const</span> <span class="keywordtype">int</span> glpk_dual_status) {</div>
|
||
|
|
<div class="line"><a id="l00943" name="l00943"></a><span class="lineno"> 943</span> ProblemStatusProto problem_status;</div>
|
||
|
|
<div class="line"><a id="l00944" name="l00944"></a><span class="lineno"> 944</span> problem_status.set_primal_status(FEASIBILITY_STATUS_UNDETERMINED);</div>
|
||
|
|
<div class="line"><a id="l00945" name="l00945"></a><span class="lineno"> 945</span> problem_status.set_dual_status(FEASIBILITY_STATUS_UNDETERMINED);</div>
|
||
|
|
<div class="line"><a id="l00946" name="l00946"></a><span class="lineno"> 946</span> </div>
|
||
|
|
<div class="line"><a id="l00947" name="l00947"></a><span class="lineno"> 947</span> <span class="keywordflow">switch</span> (glp_simplex_rc) {</div>
|
||
|
|
<div class="line"><a id="l00948" name="l00948"></a><span class="lineno"> 948</span> <span class="keywordflow">case</span> GLP_ENOPFS:</div>
|
||
|
|
<div class="line"><a id="l00949" name="l00949"></a><span class="lineno"> 949</span> <span class="comment">// LP presolver concluded primal infeasibility.</span></div>
|
||
|
|
<div class="line"><a id="l00950" name="l00950"></a><span class="lineno"> 950</span> problem_status.set_primal_status(FEASIBILITY_STATUS_INFEASIBLE);</div>
|
||
|
|
<div class="line"><a id="l00951" name="l00951"></a><span class="lineno"> 951</span> <span class="keywordflow">return</span> problem_status;</div>
|
||
|
|
<div class="line"><a id="l00952" name="l00952"></a><span class="lineno"> 952</span> <span class="keywordflow">case</span> GLP_ENODFS:</div>
|
||
|
|
<div class="line"><a id="l00953" name="l00953"></a><span class="lineno"> 953</span> <span class="comment">// LP presolver concluded dual infeasibility.</span></div>
|
||
|
|
<div class="line"><a id="l00954" name="l00954"></a><span class="lineno"> 954</span> problem_status.set_dual_status(FEASIBILITY_STATUS_INFEASIBLE);</div>
|
||
|
|
<div class="line"><a id="l00955" name="l00955"></a><span class="lineno"> 955</span> <span class="keywordflow">return</span> problem_status;</div>
|
||
|
|
<div class="line"><a id="l00956" name="l00956"></a><span class="lineno"> 956</span> <span class="keywordflow">default</span>: {</div>
|
||
|
|
<div class="line"><a id="l00957" name="l00957"></a><span class="lineno"> 957</span> <span class="comment">// Get primal status from basic solution.</span></div>
|
||
|
|
<div class="line"><a id="l00958" name="l00958"></a><span class="lineno"> 958</span> <a class="code hl_define" href="base_2status__macros_8h.html#a600de4b8f65fe0a4b1898041634f9011">ASSIGN_OR_RETURN</a>(</div>
|
||
|
|
<div class="line"><a id="l00959" name="l00959"></a><span class="lineno"> 959</span> <span class="keyword">const</span> FeasibilityStatusProto primal_status,</div>
|
||
|
|
<div class="line"><a id="l00960" name="l00960"></a><span class="lineno"> 960</span> TranslateProblemStatus(glpk_primal_status, <span class="stringliteral">"glp_get_prim_stat"</span>));</div>
|
||
|
|
<div class="line"><a id="l00961" name="l00961"></a><span class="lineno"> 961</span> problem_status.set_primal_status(primal_status);</div>
|
||
|
|
<div class="line"><a id="l00962" name="l00962"></a><span class="lineno"> 962</span> </div>
|
||
|
|
<div class="line"><a id="l00963" name="l00963"></a><span class="lineno"> 963</span> <span class="comment">// Get dual status from basic solution.</span></div>
|
||
|
|
<div class="line"><a id="l00964" name="l00964"></a><span class="lineno"> 964</span> <a class="code hl_define" href="base_2status__macros_8h.html#a600de4b8f65fe0a4b1898041634f9011">ASSIGN_OR_RETURN</a>(</div>
|
||
|
|
<div class="line"><a id="l00965" name="l00965"></a><span class="lineno"> 965</span> <span class="keyword">const</span> FeasibilityStatusProto dual_status,</div>
|
||
|
|
<div class="line"><a id="l00966" name="l00966"></a><span class="lineno"> 966</span> TranslateProblemStatus(glpk_dual_status, <span class="stringliteral">"glp_get_dual_stat"</span>));</div>
|
||
|
|
<div class="line"><a id="l00967" name="l00967"></a><span class="lineno"> 967</span> problem_status.set_dual_status(dual_status);</div>
|
||
|
|
<div class="line"><a id="l00968" name="l00968"></a><span class="lineno"> 968</span> <span class="keywordflow">return</span> problem_status;</div>
|
||
|
|
<div class="line"><a id="l00969" name="l00969"></a><span class="lineno"> 969</span> }</div>
|
||
|
|
<div class="line"><a id="l00970" name="l00970"></a><span class="lineno"> 970</span> }</div>
|
||
|
|
<div class="line"><a id="l00971" name="l00971"></a><span class="lineno"> 971</span>}</div>
|
||
|
|
<div class="line"><a id="l00972" name="l00972"></a><span class="lineno"> 972</span> </div>
|
||
|
|
<div class="line"><a id="l00973" name="l00973"></a><span class="lineno"> 973</span>absl::StatusOr<ProblemStatusProto> GetBarrierProblemStatusProto(</div>
|
||
|
|
<div class="line"><a id="l00974" name="l00974"></a><span class="lineno"> 974</span> <span class="keyword">const</span> <span class="keywordtype">int</span> glp_interior_rc, <span class="keyword">const</span> <span class="keywordtype">int</span> ipt_status) {</div>
|
||
|
|
<div class="line"><a id="l00975" name="l00975"></a><span class="lineno"> 975</span> ProblemStatusProto problem_status;</div>
|
||
|
|
<div class="line"><a id="l00976" name="l00976"></a><span class="lineno"> 976</span> problem_status.set_primal_status(FEASIBILITY_STATUS_UNDETERMINED);</div>
|
||
|
|
<div class="line"><a id="l00977" name="l00977"></a><span class="lineno"> 977</span> problem_status.set_dual_status(FEASIBILITY_STATUS_UNDETERMINED);</div>
|
||
|
|
<div class="line"><a id="l00978" name="l00978"></a><span class="lineno"> 978</span> </div>
|
||
|
|
<div class="line"><a id="l00979" name="l00979"></a><span class="lineno"> 979</span> <span class="keywordflow">switch</span> (glp_interior_rc) {</div>
|
||
|
|
<div class="line"><a id="l00980" name="l00980"></a><span class="lineno"> 980</span> <span class="keywordflow">case</span> 0:</div>
|
||
|
|
<div class="line"><a id="l00981" name="l00981"></a><span class="lineno"> 981</span> <span class="comment">// We only use the glp_ipt_status() result when glp_interior() returned 0.</span></div>
|
||
|
|
<div class="line"><a id="l00982" name="l00982"></a><span class="lineno"> 982</span> <span class="keywordflow">switch</span> (ipt_status) {</div>
|
||
|
|
<div class="line"><a id="l00983" name="l00983"></a><span class="lineno"> 983</span> <span class="keywordflow">case</span> GLP_OPT:</div>
|
||
|
|
<div class="line"><a id="l00984" name="l00984"></a><span class="lineno"> 984</span> problem_status.set_primal_status(FEASIBILITY_STATUS_FEASIBLE);</div>
|
||
|
|
<div class="line"><a id="l00985" name="l00985"></a><span class="lineno"> 985</span> problem_status.set_dual_status(FEASIBILITY_STATUS_FEASIBLE);</div>
|
||
|
|
<div class="line"><a id="l00986" name="l00986"></a><span class="lineno"> 986</span> <span class="keywordflow">return</span> problem_status;</div>
|
||
|
|
<div class="line"><a id="l00987" name="l00987"></a><span class="lineno"> 987</span> <span class="keywordflow">case</span> GLP_INFEAS:</div>
|
||
|
|
<div class="line"><a id="l00988" name="l00988"></a><span class="lineno"> 988</span> <span class="keywordflow">return</span> problem_status;</div>
|
||
|
|
<div class="line"><a id="l00989" name="l00989"></a><span class="lineno"> 989</span> <span class="keywordflow">case</span> GLP_NOFEAS:</div>
|
||
|
|
<div class="line"><a id="l00990" name="l00990"></a><span class="lineno"> 990</span> problem_status.set_primal_or_dual_infeasible(<span class="keyword">true</span>);</div>
|
||
|
|
<div class="line"><a id="l00991" name="l00991"></a><span class="lineno"> 991</span> <span class="keywordflow">return</span> problem_status;</div>
|
||
|
|
<div class="line"><a id="l00992" name="l00992"></a><span class="lineno"> 992</span> <span class="keywordflow">case</span> GLP_UNDEF:</div>
|
||
|
|
<div class="line"><a id="l00993" name="l00993"></a><span class="lineno"> 993</span> <span class="keywordflow">return</span> problem_status;</div>
|
||
|
|
<div class="line"><a id="l00994" name="l00994"></a><span class="lineno"> 994</span> <span class="keywordflow">default</span>:</div>
|
||
|
|
<div class="line"><a id="l00995" name="l00995"></a><span class="lineno"> 995</span> <span class="keywordflow">return</span> absl::InternalError(</div>
|
||
|
|
<div class="line"><a id="l00996" name="l00996"></a><span class="lineno"> 996</span> absl::StrCat(<span class="stringliteral">"glp_ipt_status returned the unexpected value "</span>,</div>
|
||
|
|
<div class="line"><a id="l00997" name="l00997"></a><span class="lineno"> 997</span> <a class="code hl_function" href="namespaceoperations__research.html#a934d1283f015d3a37d13a611d1be3725">SolutionStatusString</a>(ipt_status)));</div>
|
||
|
|
<div class="line"><a id="l00998" name="l00998"></a><span class="lineno"> 998</span> }</div>
|
||
|
|
<div class="line"><a id="l00999" name="l00999"></a><span class="lineno"> 999</span> <span class="keywordflow">default</span>:</div>
|
||
|
|
<div class="line"><a id="l01000" name="l01000"></a><span class="lineno"> 1000</span> <span class="keywordflow">return</span> problem_status;</div>
|
||
|
|
<div class="line"><a id="l01001" name="l01001"></a><span class="lineno"> 1001</span> }</div>
|
||
|
|
<div class="line"><a id="l01002" name="l01002"></a><span class="lineno"> 1002</span>}</div>
|
||
|
|
<div class="line"><a id="l01003" name="l01003"></a><span class="lineno"> 1003</span> </div>
|
||
|
|
<div class="line"><a id="l01004" name="l01004"></a><span class="lineno"> 1004</span>} <span class="comment">// namespace</span></div>
|
||
|
|
<div class="line"><a id="l01005" name="l01005"></a><span class="lineno"> 1005</span> </div>
|
||
|
|
<div class="line"><a id="l01006" name="l01006"></a><span class="lineno"><a class="line" href="classoperations__research_1_1math__opt_1_1_glpk_solver.html#a7875bc8ab28e1cf6cefc688d7b70ac7e"> 1006</a></span>absl::StatusOr<SolveResultProto> <a class="code hl_function" href="classoperations__research_1_1math__opt_1_1_glpk_solver.html#a7875bc8ab28e1cf6cefc688d7b70ac7e">GlpkSolver::Solve</a>(</div>
|
||
|
|
<div class="line"><a id="l01007" name="l01007"></a><span class="lineno"> 1007</span> <span class="keyword">const</span> SolveParametersProto& <a class="code hl_variable" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>,</div>
|
||
|
|
<div class="line"><a id="l01008" name="l01008"></a><span class="lineno"> 1008</span> <span class="keyword">const</span> ModelSolveParametersProto& model_parameters,</div>
|
||
|
|
<div class="line"><a id="l01009" name="l01009"></a><span class="lineno"> 1009</span> <a class="code hl_typedef" href="classoperations__research_1_1math__opt_1_1_solver_interface.html#aad3360b1947c772bebf3d3cfb2105a15">MessageCallback</a> message_cb,</div>
|
||
|
|
<div class="line"><a id="l01010" name="l01010"></a><span class="lineno"> 1010</span> <span class="keyword">const</span> CallbackRegistrationProto& callback_registration, <span class="keyword">const</span> <a class="code hl_typedef" href="classoperations__research_1_1math__opt_1_1_solver_interface.html#ab47a61ca53ae9cdf35dd4f2dfc9ecadb">Callback</a> cb,</div>
|
||
|
|
<div class="line"><a id="l01011" name="l01011"></a><span class="lineno"> 1011</span> <a class="code hl_class" href="classoperations__research_1_1math__opt_1_1_solve_interrupter.html">SolveInterrupter</a>* <span class="keyword">const</span> interrupter) {</div>
|
||
|
|
<div class="line"><a id="l01012" name="l01012"></a><span class="lineno"> 1012</span> <span class="comment">// Make sure glp_free_env() is called at the exit of the current thread. The</span></div>
|
||
|
|
<div class="line"><a id="l01013" name="l01013"></a><span class="lineno"> 1013</span> <span class="comment">// environment gets created automatically for messages for example.</span></div>
|
||
|
|
<div class="line"><a id="l01014" name="l01014"></a><span class="lineno"> 1014</span> <a class="code hl_function" href="namespaceoperations__research.html#afa0e53e4462391903db0d0c77f8cecd0">SetupGlpkEnvAutomaticDeletion</a>();</div>
|
||
|
|
<div class="line"><a id="l01015" name="l01015"></a><span class="lineno"> 1015</span> </div>
|
||
|
|
<div class="line"><a id="l01016" name="l01016"></a><span class="lineno"> 1016</span> <span class="keyword">const</span> absl::Time <a class="code hl_variable" href="sparse__submatrix_8cc.html#a9b7656b922ea4ec96097d7380c0e61fe">start</a> = absl::Now();</div>
|
||
|
|
<div class="line"><a id="l01017" name="l01017"></a><span class="lineno"> 1017</span> </div>
|
||
|
|
<div class="line"><a id="l01018" name="l01018"></a><span class="lineno"> 1018</span> <a class="code hl_define" href="base_2status__macros_8h.html#acdc223d8c59d5c591dc6b4e88257627b">RETURN_IF_ERROR</a>(<a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#a0d2106bc8a55ecfe52d502eee346b62a">CheckRegisteredCallbackEvents</a>(callback_registration,</div>
|
||
|
|
<div class="line"><a id="l01019" name="l01019"></a><span class="lineno"> 1019</span> <span class="comment">/*supported_events=*/</span>{}));</div>
|
||
|
|
<div class="line"><a id="l01020" name="l01020"></a><span class="lineno"> 1020</span> </div>
|
||
|
|
<div class="line"><a id="l01021" name="l01021"></a><span class="lineno"> 1021</span> std::unique_ptr<TermHookData> term_hook_data;</div>
|
||
|
|
<div class="line"><a id="l01022" name="l01022"></a><span class="lineno"> 1022</span> <span class="keywordflow">if</span> (message_cb != <span class="keyword">nullptr</span>) {</div>
|
||
|
|
<div class="line"><a id="l01023" name="l01023"></a><span class="lineno"> 1023</span> term_hook_data = std::make_unique<TermHookData>(std::move(message_cb));</div>
|
||
|
|
<div class="line"><a id="l01024" name="l01024"></a><span class="lineno"> 1024</span> </div>
|
||
|
|
<div class="line"><a id="l01025" name="l01025"></a><span class="lineno"> 1025</span> <span class="comment">// Note that glp_term_hook() uses get_env_ptr() that relies on thread local</span></div>
|
||
|
|
<div class="line"><a id="l01026" name="l01026"></a><span class="lineno"> 1026</span> <span class="comment">// storage to have a different environment per thread. Thus using</span></div>
|
||
|
|
<div class="line"><a id="l01027" name="l01027"></a><span class="lineno"> 1027</span> <span class="comment">// glp_term_hook() is thread-safe.</span></div>
|
||
|
|
<div class="line"><a id="l01028" name="l01028"></a><span class="lineno"> 1028</span> <span class="comment">//</span></div>
|
||
|
|
<div class="line"><a id="l01029" name="l01029"></a><span class="lineno"> 1029</span> glp_term_hook(TermHook, term_hook_data.get());</div>
|
||
|
|
<div class="line"><a id="l01030" name="l01030"></a><span class="lineno"> 1030</span> }</div>
|
||
|
|
<div class="line"><a id="l01031" name="l01031"></a><span class="lineno"> 1031</span> </div>
|
||
|
|
<div class="line"><a id="l01032" name="l01032"></a><span class="lineno"> 1032</span> <span class="comment">// We must reset the term hook when before exiting or before flushing the last</span></div>
|
||
|
|
<div class="line"><a id="l01033" name="l01033"></a><span class="lineno"> 1033</span> <span class="comment">// unfinished line.</span></div>
|
||
|
|
<div class="line"><a id="l01034" name="l01034"></a><span class="lineno"> 1034</span> <span class="keyword">auto</span> message_cb_cleanup = <a class="code hl_function" href="namespaceabsl.html#a01547ab811df98c71089487f394ec259">absl::MakeCleanup</a>([&]() {</div>
|
||
|
|
<div class="line"><a id="l01035" name="l01035"></a><span class="lineno"> 1035</span> <span class="keywordflow">if</span> (term_hook_data != <span class="keyword">nullptr</span>) {</div>
|
||
|
|
<div class="line"><a id="l01036" name="l01036"></a><span class="lineno"> 1036</span> glp_term_hook(<span class="comment">/*func=*/</span><span class="keyword">nullptr</span>, <span class="comment">/*info=*/</span><span class="keyword">nullptr</span>);</div>
|
||
|
|
<div class="line"><a id="l01037" name="l01037"></a><span class="lineno"> 1037</span> }</div>
|
||
|
|
<div class="line"><a id="l01038" name="l01038"></a><span class="lineno"> 1038</span> });</div>
|
||
|
|
<div class="line"><a id="l01039" name="l01039"></a><span class="lineno"> 1039</span> </div>
|
||
|
|
<div class="line"><a id="l01040" name="l01040"></a><span class="lineno"> 1040</span> SolveResultProto result;</div>
|
||
|
|
<div class="line"><a id="l01041" name="l01041"></a><span class="lineno"> 1041</span> </div>
|
||
|
|
<div class="line"><a id="l01042" name="l01042"></a><span class="lineno"> 1042</span> <span class="keyword">const</span> <span class="keywordtype">bool</span> is_mip = IsMip(problem_);</div>
|
||
|
|
<div class="line"><a id="l01043" name="l01043"></a><span class="lineno"> 1043</span> </div>
|
||
|
|
<div class="line"><a id="l01044" name="l01044"></a><span class="lineno"> 1044</span> <span class="comment">// We need to use different functions depending on the solve function we used</span></div>
|
||
|
|
<div class="line"><a id="l01045" name="l01045"></a><span class="lineno"> 1045</span> <span class="comment">// (or placeholders if no solve function was called in case of empty models).</span></div>
|
||
|
|
<div class="line"><a id="l01046" name="l01046"></a><span class="lineno"> 1046</span> int (*get_prim_stat)(glp_prob*) = <span class="keyword">nullptr</span>;</div>
|
||
|
|
<div class="line"><a id="l01047" name="l01047"></a><span class="lineno"> 1047</span> double (*obj_val)(glp_prob*) = <span class="keyword">nullptr</span>;</div>
|
||
|
|
<div class="line"><a id="l01048" name="l01048"></a><span class="lineno"> 1048</span> double (*col_val)(glp_prob*, int) = <span class="keyword">nullptr</span>;</div>
|
||
|
|
<div class="line"><a id="l01049" name="l01049"></a><span class="lineno"> 1049</span> </div>
|
||
|
|
<div class="line"><a id="l01050" name="l01050"></a><span class="lineno"> 1050</span> int (*get_dual_stat)(glp_prob*) = <span class="keyword">nullptr</span>;</div>
|
||
|
|
<div class="line"><a id="l01051" name="l01051"></a><span class="lineno"> 1051</span> double (*row_dual)(glp_prob*, int) = <span class="keyword">nullptr</span>;</div>
|
||
|
|
<div class="line"><a id="l01052" name="l01052"></a><span class="lineno"> 1052</span> double (*col_dual)(glp_prob*, int) = <span class="keyword">nullptr</span>;</div>
|
||
|
|
<div class="line"><a id="l01053" name="l01053"></a><span class="lineno"> 1053</span> </div>
|
||
|
|
<div class="line"><a id="l01054" name="l01054"></a><span class="lineno"> 1054</span> <span class="keyword">const</span> <span class="keywordtype">bool</span> maximize = glp_get_obj_dir(problem_) == GLP_MAX;</div>
|
||
|
|
<div class="line"><a id="l01055" name="l01055"></a><span class="lineno"> 1055</span> <span class="keywordtype">double</span> best_dual_bound = maximize ? <a class="code hl_variable" href="namespaceoperations__research_1_1math__opt.html#ad9f50c9313b35cc1e8887057dc4d9645">kInf</a> : -<a class="code hl_variable" href="namespaceoperations__research_1_1math__opt.html#ad9f50c9313b35cc1e8887057dc4d9645">kInf</a>;</div>
|
||
|
|
<div class="line"><a id="l01056" name="l01056"></a><span class="lineno"> 1056</span> </div>
|
||
|
|
<div class="line"><a id="l01057" name="l01057"></a><span class="lineno"> 1057</span> <span class="comment">// Here we use different solve algorithms depending on the type of problem:</span></div>
|
||
|
|
<div class="line"><a id="l01058" name="l01058"></a><span class="lineno"> 1058</span> <span class="comment">// * For MIPs: glp_intopt()</span></div>
|
||
|
|
<div class="line"><a id="l01059" name="l01059"></a><span class="lineno"> 1059</span> <span class="comment">// * For LPs:</span></div>
|
||
|
|
<div class="line"><a id="l01060" name="l01060"></a><span class="lineno"> 1060</span> <span class="comment">// * glp_interior() when using BARRIER LP algorithm</span></div>
|
||
|
|
<div class="line"><a id="l01061" name="l01061"></a><span class="lineno"> 1061</span> <span class="comment">// * glp_simplex() for other LP algorithms.</span></div>
|
||
|
|
<div class="line"><a id="l01062" name="l01062"></a><span class="lineno"> 1062</span> <span class="comment">//</span></div>
|
||
|
|
<div class="line"><a id="l01063" name="l01063"></a><span class="lineno"> 1063</span> <span class="comment">// These solve algorithms have dedicated data segments in glp_prob which use</span></div>
|
||
|
|
<div class="line"><a id="l01064" name="l01064"></a><span class="lineno"> 1064</span> <span class="comment">// different access functions to get the solution; hence each branch will set</span></div>
|
||
|
|
<div class="line"><a id="l01065" name="l01065"></a><span class="lineno"> 1065</span> <span class="comment">// the corresponding function pointers accordingly. They also use a custom</span></div>
|
||
|
|
<div class="line"><a id="l01066" name="l01066"></a><span class="lineno"> 1066</span> <span class="comment">// struct for parameters that will be initialized and passed to the algorithm.</span></div>
|
||
|
|
<div class="line"><a id="l01067" name="l01067"></a><span class="lineno"> 1067</span> <span class="keywordflow">if</span> (is_mip) {</div>
|
||
|
|
<div class="line"><a id="l01068" name="l01068"></a><span class="lineno"> 1068</span> get_prim_stat = glp_mip_status;</div>
|
||
|
|
<div class="line"><a id="l01069" name="l01069"></a><span class="lineno"> 1069</span> obj_val = glp_mip_obj_val;</div>
|
||
|
|
<div class="line"><a id="l01070" name="l01070"></a><span class="lineno"> 1070</span> col_val = glp_mip_col_val;</div>
|
||
|
|
<div class="line"><a id="l01071" name="l01071"></a><span class="lineno"> 1071</span> </div>
|
||
|
|
<div class="line"><a id="l01072" name="l01072"></a><span class="lineno"> 1072</span> glp_iocp glpk_parameters;</div>
|
||
|
|
<div class="line"><a id="l01073" name="l01073"></a><span class="lineno"> 1073</span> glp_init_iocp(&glpk_parameters);</div>
|
||
|
|
<div class="line"><a id="l01074" name="l01074"></a><span class="lineno"> 1074</span> <a class="code hl_define" href="base_2status__macros_8h.html#acdc223d8c59d5c591dc6b4e88257627b">RETURN_IF_ERROR</a>(SetSharedParameters(</div>
|
||
|
|
<div class="line"><a id="l01075" name="l01075"></a><span class="lineno"> 1075</span> <a class="code hl_variable" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>,</div>
|
||
|
|
<div class="line"><a id="l01076" name="l01076"></a><span class="lineno"> 1076</span> <span class="comment">/*has_message_callback=*/</span>term_hook_data != <span class="keyword">nullptr</span>, glpk_parameters));</div>
|
||
|
|
<div class="line"><a id="l01077" name="l01077"></a><span class="lineno"> 1077</span> SetTimeLimitParameter(<a class="code hl_variable" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>, glpk_parameters);</div>
|
||
|
|
<div class="line"><a id="l01078" name="l01078"></a><span class="lineno"> 1078</span> <span class="comment">// TODO(b/187027049): glp_intopt with presolve off requires an optional</span></div>
|
||
|
|
<div class="line"><a id="l01079" name="l01079"></a><span class="lineno"> 1079</span> <span class="comment">// solution of the relaxed problem. Here we simply always enable pre-solve</span></div>
|
||
|
|
<div class="line"><a id="l01080" name="l01080"></a><span class="lineno"> 1080</span> <span class="comment">// but we should support disabling the presolve and call glp_simplex() in</span></div>
|
||
|
|
<div class="line"><a id="l01081" name="l01081"></a><span class="lineno"> 1081</span> <span class="comment">// that case.</span></div>
|
||
|
|
<div class="line"><a id="l01082" name="l01082"></a><span class="lineno"> 1082</span> glpk_parameters.presolve = GLP_ON;</div>
|
||
|
|
<div class="line"><a id="l01083" name="l01083"></a><span class="lineno"> 1083</span> MipCallbackData mip_cb_data(interrupter);</div>
|
||
|
|
<div class="line"><a id="l01084" name="l01084"></a><span class="lineno"> 1084</span> glpk_parameters.cb_func = MipCallback;</div>
|
||
|
|
<div class="line"><a id="l01085" name="l01085"></a><span class="lineno"> 1085</span> glpk_parameters.cb_info = &mip_cb_data;</div>
|
||
|
|
<div class="line"><a id="l01086" name="l01086"></a><span class="lineno"> 1086</span> <span class="keyword">const</span> <span class="keywordtype">int</span> rc = glp_intopt(problem_, &glpk_parameters);</div>
|
||
|
|
<div class="line"><a id="l01087" name="l01087"></a><span class="lineno"> 1087</span> <span class="keyword">const</span> <span class="keywordtype">int</span> mip_status = glp_mip_status(problem_);</div>
|
||
|
|
<div class="line"><a id="l01088" name="l01088"></a><span class="lineno"> 1088</span> <span class="keyword">const</span> <span class="keywordtype">bool</span> has_feasible_solution =</div>
|
||
|
|
<div class="line"><a id="l01089" name="l01089"></a><span class="lineno"> 1089</span> mip_status == GLP_OPT || mip_status == GLP_FEAS;</div>
|
||
|
|
<div class="line"><a id="l01090" name="l01090"></a><span class="lineno"> 1090</span> <a class="code hl_define" href="base_2status__macros_8h.html#a600de4b8f65fe0a4b1898041634f9011">ASSIGN_OR_RETURN</a>(</div>
|
||
|
|
<div class="line"><a id="l01091" name="l01091"></a><span class="lineno"> 1091</span> *result.mutable_termination(),</div>
|
||
|
|
<div class="line"><a id="l01092" name="l01092"></a><span class="lineno"> 1092</span> BuildTermination(problem_, <span class="stringliteral">"glp_intopt"</span>, rc, MipTerminationOnSuccess,</div>
|
||
|
|
<div class="line"><a id="l01093" name="l01093"></a><span class="lineno"> 1093</span> &mip_cb_data,</div>
|
||
|
|
<div class="line"><a id="l01094" name="l01094"></a><span class="lineno"> 1094</span> <span class="comment">/*has_feasible_solution=*/</span>has_feasible_solution,</div>
|
||
|
|
<div class="line"><a id="l01095" name="l01095"></a><span class="lineno"> 1095</span> <span class="comment">/*variable_ids=*/</span>variables_.ids,</div>
|
||
|
|
<div class="line"><a id="l01096" name="l01096"></a><span class="lineno"> 1096</span> <span class="comment">/*linear_constraint_ids=*/</span>linear_constraints_.ids));</div>
|
||
|
|
<div class="line"><a id="l01097" name="l01097"></a><span class="lineno"> 1097</span> <span class="keywordflow">if</span> (mip_cb_data.best_bound().has_value()) {</div>
|
||
|
|
<div class="line"><a id="l01098" name="l01098"></a><span class="lineno"> 1098</span> best_dual_bound = *mip_cb_data.best_bound();</div>
|
||
|
|
<div class="line"><a id="l01099" name="l01099"></a><span class="lineno"> 1099</span> }</div>
|
||
|
|
<div class="line"><a id="l01100" name="l01100"></a><span class="lineno"> 1100</span> *result.mutable_solve_stats()->mutable_problem_status() =</div>
|
||
|
|
<div class="line"><a id="l01101" name="l01101"></a><span class="lineno"> 1101</span> GetMipProblemStatusProto(rc, mip_status,</div>
|
||
|
|
<div class="line"><a id="l01102" name="l01102"></a><span class="lineno"> 1102</span> std::isfinite(best_dual_bound));</div>
|
||
|
|
<div class="line"><a id="l01103" name="l01103"></a><span class="lineno"> 1103</span> } <span class="keywordflow">else</span> {</div>
|
||
|
|
<div class="line"><a id="l01104" name="l01104"></a><span class="lineno"> 1104</span> <span class="keywordflow">if</span> (<a class="code hl_variable" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>.lp_algorithm() == LP_ALGORITHM_BARRIER) {</div>
|
||
|
|
<div class="line"><a id="l01105" name="l01105"></a><span class="lineno"> 1105</span> get_prim_stat = glp_ipt_status;</div>
|
||
|
|
<div class="line"><a id="l01106" name="l01106"></a><span class="lineno"> 1106</span> obj_val = glp_ipt_obj_val;</div>
|
||
|
|
<div class="line"><a id="l01107" name="l01107"></a><span class="lineno"> 1107</span> col_val = glp_ipt_col_prim;</div>
|
||
|
|
<div class="line"><a id="l01108" name="l01108"></a><span class="lineno"> 1108</span> </div>
|
||
|
|
<div class="line"><a id="l01109" name="l01109"></a><span class="lineno"> 1109</span> get_dual_stat = glp_ipt_status;</div>
|
||
|
|
<div class="line"><a id="l01110" name="l01110"></a><span class="lineno"> 1110</span> row_dual = glp_ipt_row_dual;</div>
|
||
|
|
<div class="line"><a id="l01111" name="l01111"></a><span class="lineno"> 1111</span> col_dual = glp_ipt_col_dual;</div>
|
||
|
|
<div class="line"><a id="l01112" name="l01112"></a><span class="lineno"> 1112</span> </div>
|
||
|
|
<div class="line"><a id="l01113" name="l01113"></a><span class="lineno"> 1113</span> glp_iptcp glpk_parameters;</div>
|
||
|
|
<div class="line"><a id="l01114" name="l01114"></a><span class="lineno"> 1114</span> glp_init_iptcp(&glpk_parameters);</div>
|
||
|
|
<div class="line"><a id="l01115" name="l01115"></a><span class="lineno"> 1115</span> <span class="keywordflow">if</span> (<a class="code hl_variable" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>.has_time_limit()) {</div>
|
||
|
|
<div class="line"><a id="l01116" name="l01116"></a><span class="lineno"> 1116</span> <span class="keywordflow">return</span> absl::InvalidArgumentError(</div>
|
||
|
|
<div class="line"><a id="l01117" name="l01117"></a><span class="lineno"> 1117</span> <span class="stringliteral">"Parameter time_limit not supported by GLPK for interior point "</span></div>
|
||
|
|
<div class="line"><a id="l01118" name="l01118"></a><span class="lineno"> 1118</span> <span class="stringliteral">"algorithm."</span>);</div>
|
||
|
|
<div class="line"><a id="l01119" name="l01119"></a><span class="lineno"> 1119</span> }</div>
|
||
|
|
<div class="line"><a id="l01120" name="l01120"></a><span class="lineno"> 1120</span> <a class="code hl_define" href="base_2status__macros_8h.html#acdc223d8c59d5c591dc6b4e88257627b">RETURN_IF_ERROR</a>(SetSharedParameters(</div>
|
||
|
|
<div class="line"><a id="l01121" name="l01121"></a><span class="lineno"> 1121</span> <a class="code hl_variable" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>,</div>
|
||
|
|
<div class="line"><a id="l01122" name="l01122"></a><span class="lineno"> 1122</span> <span class="comment">/*has_message_callback=*/</span>term_hook_data != <span class="keyword">nullptr</span>, glpk_parameters));</div>
|
||
|
|
<div class="line"><a id="l01123" name="l01123"></a><span class="lineno"> 1123</span> </div>
|
||
|
|
<div class="line"><a id="l01124" name="l01124"></a><span class="lineno"> 1124</span> <span class="comment">// glp_interior() does not support being called with an empty model and</span></div>
|
||
|
|
<div class="line"><a id="l01125" name="l01125"></a><span class="lineno"> 1125</span> <span class="comment">// returns GLP_EFAIL. Thus we use placeholders in that case.</span></div>
|
||
|
|
<div class="line"><a id="l01126" name="l01126"></a><span class="lineno"> 1126</span> <span class="keywordflow">if</span> (IsEmpty(problem_)) {</div>
|
||
|
|
<div class="line"><a id="l01127" name="l01127"></a><span class="lineno"> 1127</span> get_prim_stat = OptStatus;</div>
|
||
|
|
<div class="line"><a id="l01128" name="l01128"></a><span class="lineno"> 1128</span> get_dual_stat = OptStatus;</div>
|
||
|
|
<div class="line"><a id="l01129" name="l01129"></a><span class="lineno"> 1129</span> obj_val = OffsetOnlyObjVal;</div>
|
||
|
|
<div class="line"><a id="l01130" name="l01130"></a><span class="lineno"> 1130</span> *result.mutable_termination() = <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#aaaafdf52dd4d552e04d416daeadbd81f">TerminateForReason</a>(</div>
|
||
|
|
<div class="line"><a id="l01131" name="l01131"></a><span class="lineno"> 1131</span> TERMINATION_REASON_OPTIMAL,</div>
|
||
|
|
<div class="line"><a id="l01132" name="l01132"></a><span class="lineno"> 1132</span> <span class="stringliteral">"glp_interior() not called since the model is empty"</span>);</div>
|
||
|
|
<div class="line"><a id="l01133" name="l01133"></a><span class="lineno"> 1133</span> result.mutable_solve_stats()</div>
|
||
|
|
<div class="line"><a id="l01134" name="l01134"></a><span class="lineno"> 1134</span> ->mutable_problem_status()</div>
|
||
|
|
<div class="line"><a id="l01135" name="l01135"></a><span class="lineno"> 1135</span> ->set_primal_status(FEASIBILITY_STATUS_FEASIBLE);</div>
|
||
|
|
<div class="line"><a id="l01136" name="l01136"></a><span class="lineno"> 1136</span> result.mutable_solve_stats()->mutable_problem_status()->set_dual_status(</div>
|
||
|
|
<div class="line"><a id="l01137" name="l01137"></a><span class="lineno"> 1137</span> FEASIBILITY_STATUS_FEASIBLE);</div>
|
||
|
|
<div class="line"><a id="l01138" name="l01138"></a><span class="lineno"> 1138</span> } <span class="keywordflow">else</span> {</div>
|
||
|
|
<div class="line"><a id="l01139" name="l01139"></a><span class="lineno"> 1139</span> <span class="comment">// TODO(b/187027049): add solver specific parameters for</span></div>
|
||
|
|
<div class="line"><a id="l01140" name="l01140"></a><span class="lineno"> 1140</span> <span class="comment">// glp_iptcp.ord_alg.</span></div>
|
||
|
|
<div class="line"><a id="l01141" name="l01141"></a><span class="lineno"> 1141</span> <span class="keyword">const</span> <span class="keywordtype">int</span> glp_interior_rc = glp_interior(problem_, &glpk_parameters);</div>
|
||
|
|
<div class="line"><a id="l01142" name="l01142"></a><span class="lineno"> 1142</span> <span class="keyword">const</span> <span class="keywordtype">int</span> ipt_status = glp_ipt_status(problem_);</div>
|
||
|
|
<div class="line"><a id="l01143" name="l01143"></a><span class="lineno"> 1143</span> <span class="keyword">const</span> <span class="keywordtype">bool</span> has_feasible_solution = ipt_status == GLP_OPT;</div>
|
||
|
|
<div class="line"><a id="l01144" name="l01144"></a><span class="lineno"> 1144</span> <a class="code hl_define" href="base_2status__macros_8h.html#a600de4b8f65fe0a4b1898041634f9011">ASSIGN_OR_RETURN</a>(</div>
|
||
|
|
<div class="line"><a id="l01145" name="l01145"></a><span class="lineno"> 1145</span> *result.mutable_termination(),</div>
|
||
|
|
<div class="line"><a id="l01146" name="l01146"></a><span class="lineno"> 1146</span> BuildTermination(</div>
|
||
|
|
<div class="line"><a id="l01147" name="l01147"></a><span class="lineno"> 1147</span> problem_, <span class="stringliteral">"glp_interior"</span>, glp_interior_rc,</div>
|
||
|
|
<div class="line"><a id="l01148" name="l01148"></a><span class="lineno"> 1148</span> InteriorTerminationOnSuccess,</div>
|
||
|
|
<div class="line"><a id="l01149" name="l01149"></a><span class="lineno"> 1149</span> <span class="comment">/*mip_cb_data=*/</span><span class="keyword">nullptr</span>,</div>
|
||
|
|
<div class="line"><a id="l01150" name="l01150"></a><span class="lineno"> 1150</span> <span class="comment">/*has_feasible_solution=*/</span>has_feasible_solution,</div>
|
||
|
|
<div class="line"><a id="l01151" name="l01151"></a><span class="lineno"> 1151</span> <span class="comment">/*variable_ids=*/</span>variables_.ids,</div>
|
||
|
|
<div class="line"><a id="l01152" name="l01152"></a><span class="lineno"> 1152</span> <span class="comment">/*linear_constraint_ids=*/</span>linear_constraints_.ids));</div>
|
||
|
|
<div class="line"><a id="l01153" name="l01153"></a><span class="lineno"> 1153</span> <a class="code hl_define" href="base_2status__macros_8h.html#a600de4b8f65fe0a4b1898041634f9011">ASSIGN_OR_RETURN</a>(</div>
|
||
|
|
<div class="line"><a id="l01154" name="l01154"></a><span class="lineno"> 1154</span> *result.mutable_solve_stats()->mutable_problem_status(),</div>
|
||
|
|
<div class="line"><a id="l01155" name="l01155"></a><span class="lineno"> 1155</span> GetBarrierProblemStatusProto(<span class="comment">/*glp_interior_rc=*/</span>glp_interior_rc,</div>
|
||
|
|
<div class="line"><a id="l01156" name="l01156"></a><span class="lineno"> 1156</span> <span class="comment">/*ipt_status=*/</span>ipt_status));</div>
|
||
|
|
<div class="line"><a id="l01157" name="l01157"></a><span class="lineno"> 1157</span> }</div>
|
||
|
|
<div class="line"><a id="l01158" name="l01158"></a><span class="lineno"> 1158</span> } <span class="keywordflow">else</span> {</div>
|
||
|
|
<div class="line"><a id="l01159" name="l01159"></a><span class="lineno"> 1159</span> get_prim_stat = glp_get_prim_stat;</div>
|
||
|
|
<div class="line"><a id="l01160" name="l01160"></a><span class="lineno"> 1160</span> obj_val = glp_get_obj_val;</div>
|
||
|
|
<div class="line"><a id="l01161" name="l01161"></a><span class="lineno"> 1161</span> col_val = glp_get_col_prim;</div>
|
||
|
|
<div class="line"><a id="l01162" name="l01162"></a><span class="lineno"> 1162</span> </div>
|
||
|
|
<div class="line"><a id="l01163" name="l01163"></a><span class="lineno"> 1163</span> get_dual_stat = glp_get_dual_stat;</div>
|
||
|
|
<div class="line"><a id="l01164" name="l01164"></a><span class="lineno"> 1164</span> row_dual = glp_get_row_dual;</div>
|
||
|
|
<div class="line"><a id="l01165" name="l01165"></a><span class="lineno"> 1165</span> col_dual = glp_get_col_dual;</div>
|
||
|
|
<div class="line"><a id="l01166" name="l01166"></a><span class="lineno"> 1166</span> </div>
|
||
|
|
<div class="line"><a id="l01167" name="l01167"></a><span class="lineno"> 1167</span> glp_smcp glpk_parameters;</div>
|
||
|
|
<div class="line"><a id="l01168" name="l01168"></a><span class="lineno"> 1168</span> glp_init_smcp(&glpk_parameters);</div>
|
||
|
|
<div class="line"><a id="l01169" name="l01169"></a><span class="lineno"> 1169</span> <a class="code hl_define" href="base_2status__macros_8h.html#acdc223d8c59d5c591dc6b4e88257627b">RETURN_IF_ERROR</a>(SetSharedParameters(</div>
|
||
|
|
<div class="line"><a id="l01170" name="l01170"></a><span class="lineno"> 1170</span> <a class="code hl_variable" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>,</div>
|
||
|
|
<div class="line"><a id="l01171" name="l01171"></a><span class="lineno"> 1171</span> <span class="comment">/*has_message_callback=*/</span>term_hook_data != <span class="keyword">nullptr</span>, glpk_parameters));</div>
|
||
|
|
<div class="line"><a id="l01172" name="l01172"></a><span class="lineno"> 1172</span> SetTimeLimitParameter(<a class="code hl_variable" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>, glpk_parameters);</div>
|
||
|
|
<div class="line"><a id="l01173" name="l01173"></a><span class="lineno"> 1173</span> <a class="code hl_define" href="base_2status__macros_8h.html#acdc223d8c59d5c591dc6b4e88257627b">RETURN_IF_ERROR</a>(SetLPParameters(<a class="code hl_variable" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>, glpk_parameters));</div>
|
||
|
|
<div class="line"><a id="l01174" name="l01174"></a><span class="lineno"> 1174</span> </div>
|
||
|
|
<div class="line"><a id="l01175" name="l01175"></a><span class="lineno"> 1175</span> <span class="comment">// TODO(b/187027049): add option to use glp_exact().</span></div>
|
||
|
|
<div class="line"><a id="l01176" name="l01176"></a><span class="lineno"> 1176</span> <span class="keyword">const</span> <span class="keywordtype">int</span> glp_simplex_rc = glp_simplex(problem_, &glpk_parameters);</div>
|
||
|
|
<div class="line"><a id="l01177" name="l01177"></a><span class="lineno"> 1177</span> <span class="keyword">const</span> <span class="keywordtype">int</span> prim_stat = glp_get_prim_stat(problem_);</div>
|
||
|
|
<div class="line"><a id="l01178" name="l01178"></a><span class="lineno"> 1178</span> <span class="keyword">const</span> <span class="keywordtype">bool</span> has_feasible_solution = prim_stat == GLP_FEAS;</div>
|
||
|
|
<div class="line"><a id="l01179" name="l01179"></a><span class="lineno"> 1179</span> <a class="code hl_define" href="base_2status__macros_8h.html#a600de4b8f65fe0a4b1898041634f9011">ASSIGN_OR_RETURN</a>(</div>
|
||
|
|
<div class="line"><a id="l01180" name="l01180"></a><span class="lineno"> 1180</span> *result.mutable_termination(),</div>
|
||
|
|
<div class="line"><a id="l01181" name="l01181"></a><span class="lineno"> 1181</span> BuildTermination(problem_, <span class="stringliteral">"glp_simplex"</span>, glp_simplex_rc,</div>
|
||
|
|
<div class="line"><a id="l01182" name="l01182"></a><span class="lineno"> 1182</span> SimplexTerminationOnSuccess,</div>
|
||
|
|
<div class="line"><a id="l01183" name="l01183"></a><span class="lineno"> 1183</span> <span class="comment">/*mip_cb_data=*/</span><span class="keyword">nullptr</span>,</div>
|
||
|
|
<div class="line"><a id="l01184" name="l01184"></a><span class="lineno"> 1184</span> <span class="comment">/*has_feasible_solution=*/</span>has_feasible_solution,</div>
|
||
|
|
<div class="line"><a id="l01185" name="l01185"></a><span class="lineno"> 1185</span> <span class="comment">/*variable_ids=*/</span>variables_.ids,</div>
|
||
|
|
<div class="line"><a id="l01186" name="l01186"></a><span class="lineno"> 1186</span> <span class="comment">/*linear_constraint_ids=*/</span>linear_constraints_.ids));</div>
|
||
|
|
<div class="line"><a id="l01187" name="l01187"></a><span class="lineno"> 1187</span> </div>
|
||
|
|
<div class="line"><a id="l01188" name="l01188"></a><span class="lineno"> 1188</span> <a class="code hl_define" href="base_2status__macros_8h.html#a600de4b8f65fe0a4b1898041634f9011">ASSIGN_OR_RETURN</a>(*result.mutable_solve_stats()->mutable_problem_status(),</div>
|
||
|
|
<div class="line"><a id="l01189" name="l01189"></a><span class="lineno"> 1189</span> GetSimplexProblemStatusProto(</div>
|
||
|
|
<div class="line"><a id="l01190" name="l01190"></a><span class="lineno"> 1190</span> <span class="comment">/*glp_simplex_rc=*/</span>glp_simplex_rc,</div>
|
||
|
|
<div class="line"><a id="l01191" name="l01191"></a><span class="lineno"> 1191</span> <span class="comment">/*glpk_primal_status=*/</span>prim_stat,</div>
|
||
|
|
<div class="line"><a id="l01192" name="l01192"></a><span class="lineno"> 1192</span> <span class="comment">/*glpk_dual_status=*/</span>glp_get_dual_stat(problem_)));</div>
|
||
|
|
<div class="line"><a id="l01193" name="l01193"></a><span class="lineno"> 1193</span> <a class="code hl_define" href="base_2logging_8h.html#afcaa7cadd41741bb855c2ada1d2ef927">VLOG</a>(1) << <span class="stringliteral">"glp_get_status: "</span></div>
|
||
|
|
<div class="line"><a id="l01194" name="l01194"></a><span class="lineno"> 1194</span> << <a class="code hl_function" href="namespaceoperations__research.html#a934d1283f015d3a37d13a611d1be3725">SolutionStatusString</a>(glp_get_status(problem_))</div>
|
||
|
|
<div class="line"><a id="l01195" name="l01195"></a><span class="lineno"> 1195</span> << <span class="stringliteral">" glp_get_prim_stat: "</span> << <a class="code hl_function" href="namespaceoperations__research.html#a934d1283f015d3a37d13a611d1be3725">SolutionStatusString</a>(prim_stat)</div>
|
||
|
|
<div class="line"><a id="l01196" name="l01196"></a><span class="lineno"> 1196</span> << <span class="stringliteral">" glp_get_dual_stat: "</span></div>
|
||
|
|
<div class="line"><a id="l01197" name="l01197"></a><span class="lineno"> 1197</span> << <a class="code hl_function" href="namespaceoperations__research.html#a934d1283f015d3a37d13a611d1be3725">SolutionStatusString</a>(glp_get_dual_stat(problem_));</div>
|
||
|
|
<div class="line"><a id="l01198" name="l01198"></a><span class="lineno"> 1198</span> }</div>
|
||
|
|
<div class="line"><a id="l01199" name="l01199"></a><span class="lineno"> 1199</span> }</div>
|
||
|
|
<div class="line"><a id="l01200" name="l01200"></a><span class="lineno"> 1200</span> </div>
|
||
|
|
<div class="line"><a id="l01201" name="l01201"></a><span class="lineno"> 1201</span> <span class="comment">// Flushes the potential last unfinished line.</span></div>
|
||
|
|
<div class="line"><a id="l01202" name="l01202"></a><span class="lineno"> 1202</span> <span class="keywordflow">if</span> (term_hook_data != <span class="keyword">nullptr</span>) {</div>
|
||
|
|
<div class="line"><a id="l01203" name="l01203"></a><span class="lineno"> 1203</span> <span class="comment">// Make sure no calls happen to the message callback before we flush.</span></div>
|
||
|
|
<div class="line"><a id="l01204" name="l01204"></a><span class="lineno"> 1204</span> std::move(message_cb_cleanup).Invoke();</div>
|
||
|
|
<div class="line"><a id="l01205" name="l01205"></a><span class="lineno"> 1205</span> term_hook_data->Flush();</div>
|
||
|
|
<div class="line"><a id="l01206" name="l01206"></a><span class="lineno"> 1206</span> term_hook_data.reset();</div>
|
||
|
|
<div class="line"><a id="l01207" name="l01207"></a><span class="lineno"> 1207</span> }</div>
|
||
|
|
<div class="line"><a id="l01208" name="l01208"></a><span class="lineno"> 1208</span> </div>
|
||
|
|
<div class="line"><a id="l01209" name="l01209"></a><span class="lineno"> 1209</span> <span class="keywordtype">double</span> best_primal_bound = maximize ? -<a class="code hl_variable" href="namespaceoperations__research_1_1math__opt.html#ad9f50c9313b35cc1e8887057dc4d9645">kInf</a> : <a class="code hl_variable" href="namespaceoperations__research_1_1math__opt.html#ad9f50c9313b35cc1e8887057dc4d9645">kInf</a>;</div>
|
||
|
|
<div class="line"><a id="l01210" name="l01210"></a><span class="lineno"> 1210</span> <span class="keywordflow">switch</span> (get_prim_stat(problem_)) {</div>
|
||
|
|
<div class="line"><a id="l01211" name="l01211"></a><span class="lineno"> 1211</span> <span class="keywordflow">case</span> GLP_OPT: <span class="comment">// OPT is returned by glp_ipt_status & glp_mip_status.</span></div>
|
||
|
|
<div class="line"><a id="l01212" name="l01212"></a><span class="lineno"> 1212</span> <span class="keywordflow">case</span> GLP_FEAS: <span class="comment">// FEAS is returned by glp_mip_status & glp_get_prim_stat.</span></div>
|
||
|
|
<div class="line"><a id="l01213" name="l01213"></a><span class="lineno"> 1213</span> best_primal_bound = obj_val(problem_);</div>
|
||
|
|
<div class="line"><a id="l01214" name="l01214"></a><span class="lineno"> 1214</span> <span class="keywordflow">break</span>;</div>
|
||
|
|
<div class="line"><a id="l01215" name="l01215"></a><span class="lineno"> 1215</span> }</div>
|
||
|
|
<div class="line"><a id="l01216" name="l01216"></a><span class="lineno"> 1216</span> result.mutable_solve_stats()->set_best_primal_bound(best_primal_bound);</div>
|
||
|
|
<div class="line"><a id="l01217" name="l01217"></a><span class="lineno"> 1217</span> <span class="comment">// TODO(b/187027049): compute the dual value when the dual is feasible (or</span></div>
|
||
|
|
<div class="line"><a id="l01218" name="l01218"></a><span class="lineno"> 1218</span> <span class="comment">// problem optimal for interior point) based on the bounds and the dual values</span></div>
|
||
|
|
<div class="line"><a id="l01219" name="l01219"></a><span class="lineno"> 1219</span> <span class="comment">// for LPs.</span></div>
|
||
|
|
<div class="line"><a id="l01220" name="l01220"></a><span class="lineno"> 1220</span> result.mutable_solve_stats()->set_best_dual_bound(best_dual_bound);</div>
|
||
|
|
<div class="line"><a id="l01221" name="l01221"></a><span class="lineno"> 1221</span> SolutionProto solution;</div>
|
||
|
|
<div class="line"><a id="l01222" name="l01222"></a><span class="lineno"> 1222</span> AddPrimalSolution(get_prim_stat, obj_val, col_val, model_parameters,</div>
|
||
|
|
<div class="line"><a id="l01223" name="l01223"></a><span class="lineno"> 1223</span> solution);</div>
|
||
|
|
<div class="line"><a id="l01224" name="l01224"></a><span class="lineno"> 1224</span> <span class="keywordflow">if</span> (!is_mip) {</div>
|
||
|
|
<div class="line"><a id="l01225" name="l01225"></a><span class="lineno"> 1225</span> AddDualSolution(get_dual_stat, obj_val, row_dual, col_dual,</div>
|
||
|
|
<div class="line"><a id="l01226" name="l01226"></a><span class="lineno"> 1226</span> model_parameters, solution);</div>
|
||
|
|
<div class="line"><a id="l01227" name="l01227"></a><span class="lineno"> 1227</span> }</div>
|
||
|
|
<div class="line"><a id="l01228" name="l01228"></a><span class="lineno"> 1228</span> <span class="keywordflow">if</span> (solution.has_primal_solution() || solution.has_dual_solution() ||</div>
|
||
|
|
<div class="line"><a id="l01229" name="l01229"></a><span class="lineno"> 1229</span> solution.has_basis()) {</div>
|
||
|
|
<div class="line"><a id="l01230" name="l01230"></a><span class="lineno"> 1230</span> *result.add_solutions() = std::move(solution);</div>
|
||
|
|
<div class="line"><a id="l01231" name="l01231"></a><span class="lineno"> 1231</span> }</div>
|
||
|
|
<div class="line"><a id="l01232" name="l01232"></a><span class="lineno"> 1232</span> <span class="comment">// TODO(b/200695800): add a parameter to enable the computation of the</span></div>
|
||
|
|
<div class="line"><a id="l01233" name="l01233"></a><span class="lineno"> 1233</span> <span class="comment">// rays. This involves matrices inversion so this is not free to compute and</span></div>
|
||
|
|
<div class="line"><a id="l01234" name="l01234"></a><span class="lineno"> 1234</span> <span class="comment">// should thus be only done when the user wants it.</span></div>
|
||
|
|
<div class="line"><a id="l01235" name="l01235"></a><span class="lineno"> 1235</span> <a class="code hl_define" href="base_2status__macros_8h.html#acdc223d8c59d5c591dc6b4e88257627b">RETURN_IF_ERROR</a>(AddPrimalOrDualRay(model_parameters, result));</div>
|
||
|
|
<div class="line"><a id="l01236" name="l01236"></a><span class="lineno"> 1236</span> </div>
|
||
|
|
<div class="line"><a id="l01237" name="l01237"></a><span class="lineno"> 1237</span> <a class="code hl_define" href="base_2logging_8h.html#a9f96ed9f06763f0821fdbb4d29031d8d">CHECK_OK</a>(<a class="code hl_function" href="namespaceutil__time.html#a9b705fc0063004954faa62e54450d4fc">util_time::EncodeGoogleApiProto</a>(</div>
|
||
|
|
<div class="line"><a id="l01238" name="l01238"></a><span class="lineno"> 1238</span> absl::Now() - <a class="code hl_variable" href="sparse__submatrix_8cc.html#a9b7656b922ea4ec96097d7380c0e61fe">start</a>, result.mutable_solve_stats()->mutable_solve_time()));</div>
|
||
|
|
<div class="line"><a id="l01239" name="l01239"></a><span class="lineno"> 1239</span> <span class="keywordflow">return</span> result;</div>
|
||
|
|
<div class="line"><a id="l01240" name="l01240"></a><span class="lineno"> 1240</span>}</div>
|
||
|
|
<div class="line"><a id="l01241" name="l01241"></a><span class="lineno"> 1241</span> </div>
|
||
|
|
<div class="line"><a id="l01242" name="l01242"></a><span class="lineno"> 1242</span><span class="keywordtype">void</span> GlpkSolver::AddVariables(<span class="keyword">const</span> VariablesProto& new_variables) {</div>
|
||
|
|
<div class="line"><a id="l01243" name="l01243"></a><span class="lineno"> 1243</span> <span class="keywordflow">if</span> (new_variables.ids().empty()) {</div>
|
||
|
|
<div class="line"><a id="l01244" name="l01244"></a><span class="lineno"> 1244</span> <span class="keywordflow">return</span>;</div>
|
||
|
|
<div class="line"><a id="l01245" name="l01245"></a><span class="lineno"> 1245</span> }</div>
|
||
|
|
<div class="line"><a id="l01246" name="l01246"></a><span class="lineno"> 1246</span> </div>
|
||
|
|
<div class="line"><a id="l01247" name="l01247"></a><span class="lineno"> 1247</span> <span class="comment">// Indices in GLPK are one-based.</span></div>
|
||
|
|
<div class="line"><a id="l01248" name="l01248"></a><span class="lineno"> 1248</span> <span class="keyword">const</span> <span class="keywordtype">int</span> first_new_var_index = variables_.ids.size() + 1;</div>
|
||
|
|
<div class="line"><a id="l01249" name="l01249"></a><span class="lineno"> 1249</span> </div>
|
||
|
|
<div class="line"><a id="l01250" name="l01250"></a><span class="lineno"> 1250</span> variables_.ids.insert(variables_.ids.end(), new_variables.ids().begin(),</div>
|
||
|
|
<div class="line"><a id="l01251" name="l01251"></a><span class="lineno"> 1251</span> new_variables.ids().end());</div>
|
||
|
|
<div class="line"><a id="l01252" name="l01252"></a><span class="lineno"> 1252</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> v = 0; v < new_variables.ids_size(); ++v) {</div>
|
||
|
|
<div class="line"><a id="l01253" name="l01253"></a><span class="lineno"> 1253</span> <a class="code hl_define" href="base_2logging_8h.html#a3e1cfef60e774a81f30eaddf26a3a274">CHECK</a>(variables_.id_to_index</div>
|
||
|
|
<div class="line"><a id="l01254" name="l01254"></a><span class="lineno"> 1254</span> .try_emplace(new_variables.ids(v), first_new_var_index + v)</div>
|
||
|
|
<div class="line"><a id="l01255" name="l01255"></a><span class="lineno"> 1255</span> .second);</div>
|
||
|
|
<div class="line"><a id="l01256" name="l01256"></a><span class="lineno"> 1256</span> }</div>
|
||
|
|
<div class="line"><a id="l01257" name="l01257"></a><span class="lineno"> 1257</span> glp_add_cols(problem_, new_variables.ids_size());</div>
|
||
|
|
<div class="line"><a id="l01258" name="l01258"></a><span class="lineno"> 1258</span> <span class="keywordflow">if</span> (!new_variables.names().empty()) {</div>
|
||
|
|
<div class="line"><a id="l01259" name="l01259"></a><span class="lineno"> 1259</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> v = 0; v < new_variables.names_size(); ++v) {</div>
|
||
|
|
<div class="line"><a id="l01260" name="l01260"></a><span class="lineno"> 1260</span> glp_set_col_name(</div>
|
||
|
|
<div class="line"><a id="l01261" name="l01261"></a><span class="lineno"> 1261</span> problem_, v + first_new_var_index,</div>
|
||
|
|
<div class="line"><a id="l01262" name="l01262"></a><span class="lineno"> 1262</span> <a class="code hl_function" href="namespaceoperations__research.html#abf51c853d314713db5429bcdb29c540d">TruncateAndQuoteGLPKName</a>(new_variables.names(v)).c_str());</div>
|
||
|
|
<div class="line"><a id="l01263" name="l01263"></a><span class="lineno"> 1263</span> }</div>
|
||
|
|
<div class="line"><a id="l01264" name="l01264"></a><span class="lineno"> 1264</span> }</div>
|
||
|
|
<div class="line"><a id="l01265" name="l01265"></a><span class="lineno"> 1265</span> <a class="code hl_define" href="base_2logging_8h.html#a7c0ce053b28d53aa4eaf3eb7fb71663b">CHECK_EQ</a>(new_variables.lower_bounds_size(),</div>
|
||
|
|
<div class="line"><a id="l01266" name="l01266"></a><span class="lineno"> 1266</span> new_variables.upper_bounds_size());</div>
|
||
|
|
<div class="line"><a id="l01267" name="l01267"></a><span class="lineno"> 1267</span> <a class="code hl_define" href="base_2logging_8h.html#a7c0ce053b28d53aa4eaf3eb7fb71663b">CHECK_EQ</a>(new_variables.lower_bounds_size(), new_variables.ids_size());</div>
|
||
|
|
<div class="line"><a id="l01268" name="l01268"></a><span class="lineno"> 1268</span> variables_.unrounded_lower_bounds.insert(</div>
|
||
|
|
<div class="line"><a id="l01269" name="l01269"></a><span class="lineno"> 1269</span> variables_.unrounded_lower_bounds.end(),</div>
|
||
|
|
<div class="line"><a id="l01270" name="l01270"></a><span class="lineno"> 1270</span> new_variables.lower_bounds().begin(), new_variables.lower_bounds().end());</div>
|
||
|
|
<div class="line"><a id="l01271" name="l01271"></a><span class="lineno"> 1271</span> variables_.unrounded_upper_bounds.insert(</div>
|
||
|
|
<div class="line"><a id="l01272" name="l01272"></a><span class="lineno"> 1272</span> variables_.unrounded_upper_bounds.end(),</div>
|
||
|
|
<div class="line"><a id="l01273" name="l01273"></a><span class="lineno"> 1273</span> new_variables.upper_bounds().begin(), new_variables.upper_bounds().end());</div>
|
||
|
|
<div class="line"><a id="l01274" name="l01274"></a><span class="lineno"> 1274</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < new_variables.lower_bounds_size(); ++i) {</div>
|
||
|
|
<div class="line"><a id="l01275" name="l01275"></a><span class="lineno"> 1275</span> <span class="comment">// Here we don't use the boolean "kind" GLP_BV since it does not exist. It</span></div>
|
||
|
|
<div class="line"><a id="l01276" name="l01276"></a><span class="lineno"> 1276</span> <span class="comment">// is an artifact of glp_(get|set)_col_kind() functions. When</span></div>
|
||
|
|
<div class="line"><a id="l01277" name="l01277"></a><span class="lineno"> 1277</span> <span class="comment">// glp_set_col_kind() is called with GLP_BV, in addition to setting the kind</span></div>
|
||
|
|
<div class="line"><a id="l01278" name="l01278"></a><span class="lineno"> 1278</span> <span class="comment">// to GLP_IV (integer) it also sets the bounds to [0,1]. Symmetrically</span></div>
|
||
|
|
<div class="line"><a id="l01279" name="l01279"></a><span class="lineno"> 1279</span> <span class="comment">// glp_get_col_kind() returns GLP_BV when the kind is GLP_IV and the bounds</span></div>
|
||
|
|
<div class="line"><a id="l01280" name="l01280"></a><span class="lineno"> 1280</span> <span class="comment">// are [0,1].</span></div>
|
||
|
|
<div class="line"><a id="l01281" name="l01281"></a><span class="lineno"> 1281</span> glp_set_col_kind(problem_, i + first_new_var_index,</div>
|
||
|
|
<div class="line"><a id="l01282" name="l01282"></a><span class="lineno"> 1282</span> new_variables.integers(i) ? GLP_IV : GLP_CV);</div>
|
||
|
|
<div class="line"><a id="l01283" name="l01283"></a><span class="lineno"> 1283</span> SetBounds<Variables>(problem_, <span class="comment">/*k=*/</span>i + first_new_var_index,</div>
|
||
|
|
<div class="line"><a id="l01284" name="l01284"></a><span class="lineno"> 1284</span> {.lower = new_variables.lower_bounds(i),</div>
|
||
|
|
<div class="line"><a id="l01285" name="l01285"></a><span class="lineno"> 1285</span> .<a class="code hl_variable" href="glpk__solver_8cc.html#ae0e265c074f457e193b30ff0d77c750b">upper</a> = new_variables.upper_bounds(i)});</div>
|
||
|
|
<div class="line"><a id="l01286" name="l01286"></a><span class="lineno"> 1286</span> }</div>
|
||
|
|
<div class="line"><a id="l01287" name="l01287"></a><span class="lineno"> 1287</span>}</div>
|
||
|
|
<div class="line"><a id="l01288" name="l01288"></a><span class="lineno"> 1288</span> </div>
|
||
|
|
<div class="line"><a id="l01289" name="l01289"></a><span class="lineno"> 1289</span><span class="keywordtype">void</span> GlpkSolver::AddLinearConstraints(</div>
|
||
|
|
<div class="line"><a id="l01290" name="l01290"></a><span class="lineno"> 1290</span> <span class="keyword">const</span> LinearConstraintsProto& new_linear_constraints) {</div>
|
||
|
|
<div class="line"><a id="l01291" name="l01291"></a><span class="lineno"> 1291</span> <span class="keywordflow">if</span> (new_linear_constraints.ids().empty()) {</div>
|
||
|
|
<div class="line"><a id="l01292" name="l01292"></a><span class="lineno"> 1292</span> <span class="keywordflow">return</span>;</div>
|
||
|
|
<div class="line"><a id="l01293" name="l01293"></a><span class="lineno"> 1293</span> }</div>
|
||
|
|
<div class="line"><a id="l01294" name="l01294"></a><span class="lineno"> 1294</span> </div>
|
||
|
|
<div class="line"><a id="l01295" name="l01295"></a><span class="lineno"> 1295</span> <span class="comment">// Indices in GLPK are one-based.</span></div>
|
||
|
|
<div class="line"><a id="l01296" name="l01296"></a><span class="lineno"> 1296</span> <span class="keyword">const</span> <span class="keywordtype">int</span> first_new_cstr_index = linear_constraints_.ids.size() + 1;</div>
|
||
|
|
<div class="line"><a id="l01297" name="l01297"></a><span class="lineno"> 1297</span> </div>
|
||
|
|
<div class="line"><a id="l01298" name="l01298"></a><span class="lineno"> 1298</span> linear_constraints_.ids.insert(linear_constraints_.ids.end(),</div>
|
||
|
|
<div class="line"><a id="l01299" name="l01299"></a><span class="lineno"> 1299</span> new_linear_constraints.ids().begin(),</div>
|
||
|
|
<div class="line"><a id="l01300" name="l01300"></a><span class="lineno"> 1300</span> new_linear_constraints.ids().end());</div>
|
||
|
|
<div class="line"><a id="l01301" name="l01301"></a><span class="lineno"> 1301</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c < new_linear_constraints.ids_size(); ++c) {</div>
|
||
|
|
<div class="line"><a id="l01302" name="l01302"></a><span class="lineno"> 1302</span> <a class="code hl_define" href="base_2logging_8h.html#a3e1cfef60e774a81f30eaddf26a3a274">CHECK</a>(linear_constraints_.id_to_index</div>
|
||
|
|
<div class="line"><a id="l01303" name="l01303"></a><span class="lineno"> 1303</span> .try_emplace(new_linear_constraints.ids(c),</div>
|
||
|
|
<div class="line"><a id="l01304" name="l01304"></a><span class="lineno"> 1304</span> first_new_cstr_index + c)</div>
|
||
|
|
<div class="line"><a id="l01305" name="l01305"></a><span class="lineno"> 1305</span> .second);</div>
|
||
|
|
<div class="line"><a id="l01306" name="l01306"></a><span class="lineno"> 1306</span> }</div>
|
||
|
|
<div class="line"><a id="l01307" name="l01307"></a><span class="lineno"> 1307</span> glp_add_rows(problem_, new_linear_constraints.ids_size());</div>
|
||
|
|
<div class="line"><a id="l01308" name="l01308"></a><span class="lineno"> 1308</span> <span class="keywordflow">if</span> (!new_linear_constraints.names().empty()) {</div>
|
||
|
|
<div class="line"><a id="l01309" name="l01309"></a><span class="lineno"> 1309</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c < new_linear_constraints.names_size(); ++c) {</div>
|
||
|
|
<div class="line"><a id="l01310" name="l01310"></a><span class="lineno"> 1310</span> glp_set_row_name(</div>
|
||
|
|
<div class="line"><a id="l01311" name="l01311"></a><span class="lineno"> 1311</span> problem_, c + first_new_cstr_index,</div>
|
||
|
|
<div class="line"><a id="l01312" name="l01312"></a><span class="lineno"> 1312</span> <a class="code hl_function" href="namespaceoperations__research.html#abf51c853d314713db5429bcdb29c540d">TruncateAndQuoteGLPKName</a>(new_linear_constraints.names(c)).c_str());</div>
|
||
|
|
<div class="line"><a id="l01313" name="l01313"></a><span class="lineno"> 1313</span> }</div>
|
||
|
|
<div class="line"><a id="l01314" name="l01314"></a><span class="lineno"> 1314</span> }</div>
|
||
|
|
<div class="line"><a id="l01315" name="l01315"></a><span class="lineno"> 1315</span> <a class="code hl_define" href="base_2logging_8h.html#a7c0ce053b28d53aa4eaf3eb7fb71663b">CHECK_EQ</a>(new_linear_constraints.lower_bounds_size(),</div>
|
||
|
|
<div class="line"><a id="l01316" name="l01316"></a><span class="lineno"> 1316</span> new_linear_constraints.upper_bounds_size());</div>
|
||
|
|
<div class="line"><a id="l01317" name="l01317"></a><span class="lineno"> 1317</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < new_linear_constraints.lower_bounds_size(); ++i) {</div>
|
||
|
|
<div class="line"><a id="l01318" name="l01318"></a><span class="lineno"> 1318</span> SetBounds<LinearConstraints>(</div>
|
||
|
|
<div class="line"><a id="l01319" name="l01319"></a><span class="lineno"> 1319</span> problem_, <span class="comment">/*k=*/</span>i + first_new_cstr_index,</div>
|
||
|
|
<div class="line"><a id="l01320" name="l01320"></a><span class="lineno"> 1320</span> {.lower = new_linear_constraints.lower_bounds(i),</div>
|
||
|
|
<div class="line"><a id="l01321" name="l01321"></a><span class="lineno"> 1321</span> .<a class="code hl_variable" href="glpk__solver_8cc.html#ae0e265c074f457e193b30ff0d77c750b">upper</a> = new_linear_constraints.upper_bounds(i)});</div>
|
||
|
|
<div class="line"><a id="l01322" name="l01322"></a><span class="lineno"> 1322</span> }</div>
|
||
|
|
<div class="line"><a id="l01323" name="l01323"></a><span class="lineno"> 1323</span>}</div>
|
||
|
|
<div class="line"><a id="l01324" name="l01324"></a><span class="lineno"> 1324</span> </div>
|
||
|
|
<div class="line"><a id="l01325" name="l01325"></a><span class="lineno"> 1325</span><span class="keywordtype">void</span> GlpkSolver::UpdateObjectiveCoefficients(</div>
|
||
|
|
<div class="line"><a id="l01326" name="l01326"></a><span class="lineno"> 1326</span> <span class="keyword">const</span> SparseDoubleVectorProto& coefficients_proto) {</div>
|
||
|
|
<div class="line"><a id="l01327" name="l01327"></a><span class="lineno"> 1327</span> <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span> [<span class="keywordtype">id</span>, <a class="code hl_variable" href="variable__and__expressions_8cc.html#a2091cd7d80fdd31762020bce86138587">coeff</a>] : <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#a80e158d48db32a3bbbe915179b36e405">MakeView</a>(coefficients_proto)) {</div>
|
||
|
|
<div class="line"><a id="l01328" name="l01328"></a><span class="lineno"> 1328</span> <span class="keyword">const</span> <span class="keywordtype">int</span> col_index = variables_.id_to_index.at(<span class="keywordtype">id</span>);</div>
|
||
|
|
<div class="line"><a id="l01329" name="l01329"></a><span class="lineno"> 1329</span> <a class="code hl_define" href="base_2logging_8h.html#a7c0ce053b28d53aa4eaf3eb7fb71663b">CHECK_EQ</a>(variables_.ids[col_index - 1], <span class="keywordtype">id</span>);</div>
|
||
|
|
<div class="line"><a id="l01330" name="l01330"></a><span class="lineno"> 1330</span> glp_set_obj_coef(problem_, col_index, <a class="code hl_variable" href="variable__and__expressions_8cc.html#a2091cd7d80fdd31762020bce86138587">coeff</a>);</div>
|
||
|
|
<div class="line"><a id="l01331" name="l01331"></a><span class="lineno"> 1331</span> }</div>
|
||
|
|
<div class="line"><a id="l01332" name="l01332"></a><span class="lineno"> 1332</span>}</div>
|
||
|
|
<div class="line"><a id="l01333" name="l01333"></a><span class="lineno"> 1333</span> </div>
|
||
|
|
<div class="line"><a id="l01334" name="l01334"></a><span class="lineno"> 1334</span><span class="keywordtype">void</span> GlpkSolver::UpdateLinearConstraintMatrix(</div>
|
||
|
|
<div class="line"><a id="l01335" name="l01335"></a><span class="lineno"> 1335</span> <span class="keyword">const</span> SparseDoubleMatrixProto& matrix_updates,</div>
|
||
|
|
<div class="line"><a id="l01336" name="l01336"></a><span class="lineno"> 1336</span> <span class="keyword">const</span> std::optional<int64_t> first_new_var_id,</div>
|
||
|
|
<div class="line"><a id="l01337" name="l01337"></a><span class="lineno"> 1337</span> <span class="keyword">const</span> std::optional<int64_t> first_new_cstr_id) {</div>
|
||
|
|
<div class="line"><a id="l01338" name="l01338"></a><span class="lineno"> 1338</span> <span class="comment">// GLPK's does not have an API to set matrix elements one by one. Instead it</span></div>
|
||
|
|
<div class="line"><a id="l01339" name="l01339"></a><span class="lineno"> 1339</span> <span class="comment">// can either update an entire row or update an entire column or load the</span></div>
|
||
|
|
<div class="line"><a id="l01340" name="l01340"></a><span class="lineno"> 1340</span> <span class="comment">// entire matrix. On top of that there is no API to get the entire matrix at</span></div>
|
||
|
|
<div class="line"><a id="l01341" name="l01341"></a><span class="lineno"> 1341</span> <span class="comment">// once.</span></div>
|
||
|
|
<div class="line"><a id="l01342" name="l01342"></a><span class="lineno"> 1342</span> <span class="comment">//</span></div>
|
||
|
|
<div class="line"><a id="l01343" name="l01343"></a><span class="lineno"> 1343</span> <span class="comment">// Hence to update existing coefficients we have to read rows (or columns)</span></div>
|
||
|
|
<div class="line"><a id="l01344" name="l01344"></a><span class="lineno"> 1344</span> <span class="comment">// coefficients, update existing non-zero that have been changed and add new</span></div>
|
||
|
|
<div class="line"><a id="l01345" name="l01345"></a><span class="lineno"> 1345</span> <span class="comment">// values and write back the result. For new rows and columns we can be more</span></div>
|
||
|
|
<div class="line"><a id="l01346" name="l01346"></a><span class="lineno"> 1346</span> <span class="comment">// efficient since we don't have to read the existing values back.</span></div>
|
||
|
|
<div class="line"><a id="l01347" name="l01347"></a><span class="lineno"> 1347</span> <span class="comment">//</span></div>
|
||
|
|
<div class="line"><a id="l01348" name="l01348"></a><span class="lineno"> 1348</span> <span class="comment">// The strategy used below is to split the matrix in three regions:</span></div>
|
||
|
|
<div class="line"><a id="l01349" name="l01349"></a><span class="lineno"> 1349</span> <span class="comment">//</span></div>
|
||
|
|
<div class="line"><a id="l01350" name="l01350"></a><span class="lineno"> 1350</span> <span class="comment">// existing new</span></div>
|
||
|
|
<div class="line"><a id="l01351" name="l01351"></a><span class="lineno"> 1351</span> <span class="comment">// columns columns</span></div>
|
||
|
|
<div class="line"><a id="l01352" name="l01352"></a><span class="lineno"> 1352</span> <span class="comment">// / | \</span></div>
|
||
|
|
<div class="line"><a id="l01353" name="l01353"></a><span class="lineno"> 1353</span><span class="comment"> // existing | 1 | 2 |</span></div>
|
||
|
|
<div class="line"><a id="l01354" name="l01354"></a><span class="lineno"> 1354</span> <span class="comment">// rows | | |</span></div>
|
||
|
|
<div class="line"><a id="l01355" name="l01355"></a><span class="lineno"> 1355</span> <span class="comment">// |---------+---------|</span></div>
|
||
|
|
<div class="line"><a id="l01356" name="l01356"></a><span class="lineno"> 1356</span> <span class="comment">// new | |</span></div>
|
||
|
|
<div class="line"><a id="l01357" name="l01357"></a><span class="lineno"> 1357</span> <span class="comment">// rows | 3 |</span></div>
|
||
|
|
<div class="line"><a id="l01358" name="l01358"></a><span class="lineno"> 1358</span> <span class="comment">// \ /</span></div>
|
||
|
|
<div class="line"><a id="l01359" name="l01359"></a><span class="lineno"> 1359</span> <span class="comment">//</span></div>
|
||
|
|
<div class="line"><a id="l01360" name="l01360"></a><span class="lineno"> 1360</span> <span class="comment">// We start by updating the region 1 of existing rows and columns to limit the</span></div>
|
||
|
|
<div class="line"><a id="l01361" name="l01361"></a><span class="lineno"> 1361</span> <span class="comment">// number of reads of existing coefficients. Then we update region 2 with all</span></div>
|
||
|
|
<div class="line"><a id="l01362" name="l01362"></a><span class="lineno"> 1362</span> <span class="comment">// new columns but we only existing rows. Finally we update region 3 with all</span></div>
|
||
|
|
<div class="line"><a id="l01363" name="l01363"></a><span class="lineno"> 1363</span> <span class="comment">// new rows and include new columns. Doing updates this way remove the need to</span></div>
|
||
|
|
<div class="line"><a id="l01364" name="l01364"></a><span class="lineno"> 1364</span> <span class="comment">// read existing coefficients for the updates 2 & 3 since by construction</span></div>
|
||
|
|
<div class="line"><a id="l01365" name="l01365"></a><span class="lineno"> 1365</span> <span class="comment">// those values are 0.</span></div>
|
||
|
|
<div class="line"><a id="l01366" name="l01366"></a><span class="lineno"> 1366</span> </div>
|
||
|
|
<div class="line"><a id="l01367" name="l01367"></a><span class="lineno"> 1367</span> <span class="comment">// Updating existing rows (constraints), ignoring the new columns.</span></div>
|
||
|
|
<div class="line"><a id="l01368" name="l01368"></a><span class="lineno"> 1368</span> {</div>
|
||
|
|
<div class="line"><a id="l01369" name="l01369"></a><span class="lineno"> 1369</span> <span class="comment">// We reuse the same vectors for all calls to GLPK's API to limit</span></div>
|
||
|
|
<div class="line"><a id="l01370" name="l01370"></a><span class="lineno"> 1370</span> <span class="comment">// reallocations of these temporary buffers.</span></div>
|
||
|
|
<div class="line"><a id="l01371" name="l01371"></a><span class="lineno"> 1371</span> <span class="comment">//</span></div>
|
||
|
|
<div class="line"><a id="l01372" name="l01372"></a><span class="lineno"> 1372</span> <span class="comment">// We use constant size vectors to remove inefficiencies of</span></div>
|
||
|
|
<div class="line"><a id="l01373" name="l01373"></a><span class="lineno"> 1373</span> <span class="comment">// std::vector::resize() that has linear cost in the size change (due to</span></div>
|
||
|
|
<div class="line"><a id="l01374" name="l01374"></a><span class="lineno"> 1374</span> <span class="comment">// reset to 0 of values in the existing capacity on grow on resize).</span></div>
|
||
|
|
<div class="line"><a id="l01375" name="l01375"></a><span class="lineno"> 1375</span> <span class="comment">//</span></div>
|
||
|
|
<div class="line"><a id="l01376" name="l01376"></a><span class="lineno"> 1376</span> <span class="comment">// The value at index 0 is never used by GLPK's API (which are one-based).</span></div>
|
||
|
|
<div class="line"><a id="l01377" name="l01377"></a><span class="lineno"> 1377</span> std::vector<int> data_indices(variables_.ids.size() + 1);</div>
|
||
|
|
<div class="line"><a id="l01378" name="l01378"></a><span class="lineno"> 1378</span> std::vector<double> data_values(variables_.ids.size() + 1);</div>
|
||
|
|
<div class="line"><a id="l01379" name="l01379"></a><span class="lineno"> 1379</span> </div>
|
||
|
|
<div class="line"><a id="l01380" name="l01380"></a><span class="lineno"> 1380</span> <span class="comment">// This shared vector (to prevent reallocation) will be used to store for</span></div>
|
||
|
|
<div class="line"><a id="l01381" name="l01381"></a><span class="lineno"> 1381</span> <span class="comment">// each GLPK column the corresponding index in data_xxx vectors. The value</span></div>
|
||
|
|
<div class="line"><a id="l01382" name="l01382"></a><span class="lineno"> 1382</span> <span class="comment">// kColNotPresent being used as a guard value to indicate that the column is</span></div>
|
||
|
|
<div class="line"><a id="l01383" name="l01383"></a><span class="lineno"> 1383</span> <span class="comment">// not present.</span></div>
|
||
|
|
<div class="line"><a id="l01384" name="l01384"></a><span class="lineno"> 1384</span> <span class="comment">//</span></div>
|
||
|
|
<div class="line"><a id="l01385" name="l01385"></a><span class="lineno"> 1385</span> <span class="comment">// This uses the GLPK convention of ignoring the element 0 and using</span></div>
|
||
|
|
<div class="line"><a id="l01386" name="l01386"></a><span class="lineno"> 1386</span> <span class="comment">// one-based indices.</span></div>
|
||
|
|
<div class="line"><a id="l01387" name="l01387"></a><span class="lineno"> 1387</span> <span class="keyword">constexpr</span> <span class="keywordtype">int</span> kColNotPresent = <a class="code hl_variable" href="alldiff__cst_8cc.html#a26e6db9bcc64b584051ecc28171ed11f">std::numeric_limits<int>::max</a>();</div>
|
||
|
|
<div class="line"><a id="l01388" name="l01388"></a><span class="lineno"> 1388</span> std::vector<int> col_to_data_element(variables_.ids.size() + 1,</div>
|
||
|
|
<div class="line"><a id="l01389" name="l01389"></a><span class="lineno"> 1389</span> kColNotPresent);</div>
|
||
|
|
<div class="line"><a id="l01390" name="l01390"></a><span class="lineno"> 1390</span> <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>& [row_id, row_coefficients] :</div>
|
||
|
|
<div class="line"><a id="l01391" name="l01391"></a><span class="lineno"> 1391</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#a73f32c619b1fc9c62bcd6c6b9123bb61">SparseSubmatrixByRows</a>(matrix_updates,</div>
|
||
|
|
<div class="line"><a id="l01392" name="l01392"></a><span class="lineno"> 1392</span> <span class="comment">/*start_row_id=*/</span>0,</div>
|
||
|
|
<div class="line"><a id="l01393" name="l01393"></a><span class="lineno"> 1393</span> <span class="comment">/*end_row_id=*/</span>first_new_cstr_id,</div>
|
||
|
|
<div class="line"><a id="l01394" name="l01394"></a><span class="lineno"> 1394</span> <span class="comment">/*start_col_id=*/</span>0,</div>
|
||
|
|
<div class="line"><a id="l01395" name="l01395"></a><span class="lineno"> 1395</span> <span class="comment">/*end_col_id=*/</span>first_new_var_id)) {</div>
|
||
|
|
<div class="line"><a id="l01396" name="l01396"></a><span class="lineno"> 1396</span> <span class="comment">// Find the index of the row in GLPK corresponding to the MathOpt's row</span></div>
|
||
|
|
<div class="line"><a id="l01397" name="l01397"></a><span class="lineno"> 1397</span> <span class="comment">// id.</span></div>
|
||
|
|
<div class="line"><a id="l01398" name="l01398"></a><span class="lineno"> 1398</span> <span class="keyword">const</span> <span class="keywordtype">int</span> row_index = linear_constraints_.id_to_index.at(row_id);</div>
|
||
|
|
<div class="line"><a id="l01399" name="l01399"></a><span class="lineno"> 1399</span> <a class="code hl_define" href="base_2logging_8h.html#a7c0ce053b28d53aa4eaf3eb7fb71663b">CHECK_EQ</a>(linear_constraints_.ids[row_index - 1], row_id);</div>
|
||
|
|
<div class="line"><a id="l01400" name="l01400"></a><span class="lineno"> 1400</span> </div>
|
||
|
|
<div class="line"><a id="l01401" name="l01401"></a><span class="lineno"> 1401</span> <span class="comment">// Read the current row coefficients.</span></div>
|
||
|
|
<div class="line"><a id="l01402" name="l01402"></a><span class="lineno"> 1402</span> <span class="keyword">const</span> <span class="keywordtype">int</span> initial_non_zeros = glp_get_mat_row(</div>
|
||
|
|
<div class="line"><a id="l01403" name="l01403"></a><span class="lineno"> 1403</span> problem_, row_index, data_indices.data(), data_values.data());</div>
|
||
|
|
<div class="line"><a id="l01404" name="l01404"></a><span class="lineno"> 1404</span> <a class="code hl_define" href="base_2logging_8h.html#ae4db23f10f5d4aad6d735f5a74cd6f8c">CHECK_LE</a>(initial_non_zeros + 1, data_indices.size());</div>
|
||
|
|
<div class="line"><a id="l01405" name="l01405"></a><span class="lineno"> 1405</span> <a class="code hl_define" href="base_2logging_8h.html#ae4db23f10f5d4aad6d735f5a74cd6f8c">CHECK_LE</a>(initial_non_zeros + 1, data_values.size());</div>
|
||
|
|
<div class="line"><a id="l01406" name="l01406"></a><span class="lineno"> 1406</span> </div>
|
||
|
|
<div class="line"><a id="l01407" name="l01407"></a><span class="lineno"> 1407</span> <span class="comment">// Update the col to data_xxx elements map.</span></div>
|
||
|
|
<div class="line"><a id="l01408" name="l01408"></a><span class="lineno"> 1408</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 1; i <= initial_non_zeros; ++i) {</div>
|
||
|
|
<div class="line"><a id="l01409" name="l01409"></a><span class="lineno"> 1409</span> col_to_data_element[data_indices[i]] = i;</div>
|
||
|
|
<div class="line"><a id="l01410" name="l01410"></a><span class="lineno"> 1410</span> }</div>
|
||
|
|
<div class="line"><a id="l01411" name="l01411"></a><span class="lineno"> 1411</span> </div>
|
||
|
|
<div class="line"><a id="l01412" name="l01412"></a><span class="lineno"> 1412</span> <span class="comment">// Update the row data.</span></div>
|
||
|
|
<div class="line"><a id="l01413" name="l01413"></a><span class="lineno"> 1413</span> <span class="keywordtype">int</span> non_zeros = initial_non_zeros;</div>
|
||
|
|
<div class="line"><a id="l01414" name="l01414"></a><span class="lineno"> 1414</span> <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span> [col_id, <a class="code hl_variable" href="routing__filters_8cc.html#a8e4ee19dee0e00541dbe9bbc83d806ba">coefficient</a>] : row_coefficients) {</div>
|
||
|
|
<div class="line"><a id="l01415" name="l01415"></a><span class="lineno"> 1415</span> <span class="keyword">const</span> <span class="keywordtype">int</span> col_index = variables_.id_to_index.at(col_id);</div>
|
||
|
|
<div class="line"><a id="l01416" name="l01416"></a><span class="lineno"> 1416</span> <a class="code hl_define" href="base_2logging_8h.html#a7c0ce053b28d53aa4eaf3eb7fb71663b">CHECK_EQ</a>(variables_.ids[col_index - 1], col_id);</div>
|
||
|
|
<div class="line"><a id="l01417" name="l01417"></a><span class="lineno"> 1417</span> </div>
|
||
|
|
<div class="line"><a id="l01418" name="l01418"></a><span class="lineno"> 1418</span> <span class="comment">// Here there are two cases: either a coefficient already exists for the</span></div>
|
||
|
|
<div class="line"><a id="l01419" name="l01419"></a><span class="lineno"> 1419</span> <span class="comment">// given column, and we simply replace its value (potentially with a</span></div>
|
||
|
|
<div class="line"><a id="l01420" name="l01420"></a><span class="lineno"> 1420</span> <span class="comment">// zero, which will remove the coefficient in the GLPK matrix), or we</span></div>
|
||
|
|
<div class="line"><a id="l01421" name="l01421"></a><span class="lineno"> 1421</span> <span class="comment">// need to append it.</span></div>
|
||
|
|
<div class="line"><a id="l01422" name="l01422"></a><span class="lineno"> 1422</span> <span class="keywordflow">if</span> (<span class="keyword">const</span> <span class="keywordtype">int</span> i = col_to_data_element[col_index]; i == kColNotPresent) {</div>
|
||
|
|
<div class="line"><a id="l01423" name="l01423"></a><span class="lineno"> 1423</span> ++non_zeros;</div>
|
||
|
|
<div class="line"><a id="l01424" name="l01424"></a><span class="lineno"> 1424</span> data_indices[non_zeros] = col_index;</div>
|
||
|
|
<div class="line"><a id="l01425" name="l01425"></a><span class="lineno"> 1425</span> data_values[non_zeros] = <a class="code hl_variable" href="routing__filters_8cc.html#a8e4ee19dee0e00541dbe9bbc83d806ba">coefficient</a>;</div>
|
||
|
|
<div class="line"><a id="l01426" name="l01426"></a><span class="lineno"> 1426</span> } <span class="keywordflow">else</span> {</div>
|
||
|
|
<div class="line"><a id="l01427" name="l01427"></a><span class="lineno"> 1427</span> <a class="code hl_define" href="base_2logging_8h.html#a7c0ce053b28d53aa4eaf3eb7fb71663b">CHECK_EQ</a>(data_indices[i], col_index);</div>
|
||
|
|
<div class="line"><a id="l01428" name="l01428"></a><span class="lineno"> 1428</span> data_values[i] = <a class="code hl_variable" href="routing__filters_8cc.html#a8e4ee19dee0e00541dbe9bbc83d806ba">coefficient</a>;</div>
|
||
|
|
<div class="line"><a id="l01429" name="l01429"></a><span class="lineno"> 1429</span> }</div>
|
||
|
|
<div class="line"><a id="l01430" name="l01430"></a><span class="lineno"> 1430</span> }</div>
|
||
|
|
<div class="line"><a id="l01431" name="l01431"></a><span class="lineno"> 1431</span> <a class="code hl_define" href="base_2logging_8h.html#ae4db23f10f5d4aad6d735f5a74cd6f8c">CHECK_LE</a>(non_zeros + 1, data_indices.size());</div>
|
||
|
|
<div class="line"><a id="l01432" name="l01432"></a><span class="lineno"> 1432</span> <a class="code hl_define" href="base_2logging_8h.html#ae4db23f10f5d4aad6d735f5a74cd6f8c">CHECK_LE</a>(non_zeros + 1, data_values.size());</div>
|
||
|
|
<div class="line"><a id="l01433" name="l01433"></a><span class="lineno"> 1433</span> </div>
|
||
|
|
<div class="line"><a id="l01434" name="l01434"></a><span class="lineno"> 1434</span> <span class="comment">// Change the row values.</span></div>
|
||
|
|
<div class="line"><a id="l01435" name="l01435"></a><span class="lineno"> 1435</span> glp_set_mat_row(problem_, row_index, non_zeros, data_indices.data(),</div>
|
||
|
|
<div class="line"><a id="l01436" name="l01436"></a><span class="lineno"> 1436</span> data_values.data());</div>
|
||
|
|
<div class="line"><a id="l01437" name="l01437"></a><span class="lineno"> 1437</span> </div>
|
||
|
|
<div class="line"><a id="l01438" name="l01438"></a><span class="lineno"> 1438</span> <span class="comment">// Cleanup the used data_xxx items to make sure we don't reuse those</span></div>
|
||
|
|
<div class="line"><a id="l01439" name="l01439"></a><span class="lineno"> 1439</span> <span class="comment">// values by mistake later.</span></div>
|
||
|
|
<div class="line"><a id="l01440" name="l01440"></a><span class="lineno"> 1440</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 1; i <= non_zeros; ++i) {</div>
|
||
|
|
<div class="line"><a id="l01441" name="l01441"></a><span class="lineno"> 1441</span> data_indices[i] = 0;</div>
|
||
|
|
<div class="line"><a id="l01442" name="l01442"></a><span class="lineno"> 1442</span> data_values[i] = 0;</div>
|
||
|
|
<div class="line"><a id="l01443" name="l01443"></a><span class="lineno"> 1443</span> }</div>
|
||
|
|
<div class="line"><a id="l01444" name="l01444"></a><span class="lineno"> 1444</span> </div>
|
||
|
|
<div class="line"><a id="l01445" name="l01445"></a><span class="lineno"> 1445</span> <span class="comment">// Resets the elements of the map we modified. Here we ignore the new</span></div>
|
||
|
|
<div class="line"><a id="l01446" name="l01446"></a><span class="lineno"> 1446</span> <span class="comment">// column indices that we have added in data_indices since those have</span></div>
|
||
|
|
<div class="line"><a id="l01447" name="l01447"></a><span class="lineno"> 1447</span> <span class="comment">// not been put in the map.</span></div>
|
||
|
|
<div class="line"><a id="l01448" name="l01448"></a><span class="lineno"> 1448</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 1; i <= initial_non_zeros; ++i) {</div>
|
||
|
|
<div class="line"><a id="l01449" name="l01449"></a><span class="lineno"> 1449</span> col_to_data_element[data_indices[i]] = kColNotPresent;</div>
|
||
|
|
<div class="line"><a id="l01450" name="l01450"></a><span class="lineno"> 1450</span> }</div>
|
||
|
|
<div class="line"><a id="l01451" name="l01451"></a><span class="lineno"> 1451</span> }</div>
|
||
|
|
<div class="line"><a id="l01452" name="l01452"></a><span class="lineno"> 1452</span> }</div>
|
||
|
|
<div class="line"><a id="l01453" name="l01453"></a><span class="lineno"> 1453</span> </div>
|
||
|
|
<div class="line"><a id="l01454" name="l01454"></a><span class="lineno"> 1454</span> <span class="comment">// Add new columns's coefficients of existing rows. The coefficients of new</span></div>
|
||
|
|
<div class="line"><a id="l01455" name="l01455"></a><span class="lineno"> 1455</span> <span class="comment">// columns in new rows will be added when adding new rows below.</span></div>
|
||
|
|
<div class="line"><a id="l01456" name="l01456"></a><span class="lineno"> 1456</span> <span class="keywordflow">if</span> (first_new_var_id.has_value()) {</div>
|
||
|
|
<div class="line"><a id="l01457" name="l01457"></a><span class="lineno"> 1457</span> <span class="comment">// See the documentation for the existing rows above of the variables with</span></div>
|
||
|
|
<div class="line"><a id="l01458" name="l01458"></a><span class="lineno"> 1458</span> <span class="comment">// the same names.</span></div>
|
||
|
|
<div class="line"><a id="l01459" name="l01459"></a><span class="lineno"> 1459</span> std::vector<int> data_indices(linear_constraints_.ids.size() + 1);</div>
|
||
|
|
<div class="line"><a id="l01460" name="l01460"></a><span class="lineno"> 1460</span> std::vector<double> data_values(linear_constraints_.ids.size() + 1);</div>
|
||
|
|
<div class="line"><a id="l01461" name="l01461"></a><span class="lineno"> 1461</span> <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>& [col_id, col_coefficients] : <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#a132f7f9e7f159f70ae154dde62b54efb">TransposeSparseSubmatrix</a>(</div>
|
||
|
|
<div class="line"><a id="l01462" name="l01462"></a><span class="lineno"> 1462</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#a73f32c619b1fc9c62bcd6c6b9123bb61">SparseSubmatrixByRows</a>(matrix_updates,</div>
|
||
|
|
<div class="line"><a id="l01463" name="l01463"></a><span class="lineno"> 1463</span> <span class="comment">/*start_row_id=*/</span>0,</div>
|
||
|
|
<div class="line"><a id="l01464" name="l01464"></a><span class="lineno"> 1464</span> <span class="comment">/*end_row_id=*/</span>first_new_cstr_id,</div>
|
||
|
|
<div class="line"><a id="l01465" name="l01465"></a><span class="lineno"> 1465</span> <span class="comment">/*start_col_id=*/</span>*first_new_var_id,</div>
|
||
|
|
<div class="line"><a id="l01466" name="l01466"></a><span class="lineno"> 1466</span> <span class="comment">/*end_col_id=*/</span>std::nullopt))) {</div>
|
||
|
|
<div class="line"><a id="l01467" name="l01467"></a><span class="lineno"> 1467</span> <span class="comment">// Find the index of the column in GLPK corresponding to the MathOpt's</span></div>
|
||
|
|
<div class="line"><a id="l01468" name="l01468"></a><span class="lineno"> 1468</span> <span class="comment">// column id.</span></div>
|
||
|
|
<div class="line"><a id="l01469" name="l01469"></a><span class="lineno"> 1469</span> <span class="keyword">const</span> <span class="keywordtype">int</span> col_index = variables_.id_to_index.at(col_id);</div>
|
||
|
|
<div class="line"><a id="l01470" name="l01470"></a><span class="lineno"> 1470</span> <a class="code hl_define" href="base_2logging_8h.html#a7c0ce053b28d53aa4eaf3eb7fb71663b">CHECK_EQ</a>(variables_.ids[col_index - 1], col_id);</div>
|
||
|
|
<div class="line"><a id="l01471" name="l01471"></a><span class="lineno"> 1471</span> </div>
|
||
|
|
<div class="line"><a id="l01472" name="l01472"></a><span class="lineno"> 1472</span> <span class="comment">// Prepare the column data replacing MathOpt ids by GLPK one-based row</span></div>
|
||
|
|
<div class="line"><a id="l01473" name="l01473"></a><span class="lineno"> 1473</span> <span class="comment">// indices.</span></div>
|
||
|
|
<div class="line"><a id="l01474" name="l01474"></a><span class="lineno"> 1474</span> <span class="keywordtype">int</span> non_zeros = 0;</div>
|
||
|
|
<div class="line"><a id="l01475" name="l01475"></a><span class="lineno"> 1475</span> <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span> [row_id, <a class="code hl_variable" href="routing__filters_8cc.html#a8e4ee19dee0e00541dbe9bbc83d806ba">coefficient</a>] : <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#a80e158d48db32a3bbbe915179b36e405">MakeView</a>(col_coefficients)) {</div>
|
||
|
|
<div class="line"><a id="l01476" name="l01476"></a><span class="lineno"> 1476</span> <span class="keyword">const</span> <span class="keywordtype">int</span> row_index = linear_constraints_.id_to_index.at(row_id);</div>
|
||
|
|
<div class="line"><a id="l01477" name="l01477"></a><span class="lineno"> 1477</span> <a class="code hl_define" href="base_2logging_8h.html#a7c0ce053b28d53aa4eaf3eb7fb71663b">CHECK_EQ</a>(linear_constraints_.ids[row_index - 1], row_id);</div>
|
||
|
|
<div class="line"><a id="l01478" name="l01478"></a><span class="lineno"> 1478</span> </div>
|
||
|
|
<div class="line"><a id="l01479" name="l01479"></a><span class="lineno"> 1479</span> ++non_zeros;</div>
|
||
|
|
<div class="line"><a id="l01480" name="l01480"></a><span class="lineno"> 1480</span> data_indices[non_zeros] = row_index;</div>
|
||
|
|
<div class="line"><a id="l01481" name="l01481"></a><span class="lineno"> 1481</span> data_values[non_zeros] = <a class="code hl_variable" href="routing__filters_8cc.html#a8e4ee19dee0e00541dbe9bbc83d806ba">coefficient</a>;</div>
|
||
|
|
<div class="line"><a id="l01482" name="l01482"></a><span class="lineno"> 1482</span> }</div>
|
||
|
|
<div class="line"><a id="l01483" name="l01483"></a><span class="lineno"> 1483</span> <a class="code hl_define" href="base_2logging_8h.html#ae4db23f10f5d4aad6d735f5a74cd6f8c">CHECK_LE</a>(non_zeros + 1, data_indices.size());</div>
|
||
|
|
<div class="line"><a id="l01484" name="l01484"></a><span class="lineno"> 1484</span> <a class="code hl_define" href="base_2logging_8h.html#ae4db23f10f5d4aad6d735f5a74cd6f8c">CHECK_LE</a>(non_zeros + 1, data_values.size());</div>
|
||
|
|
<div class="line"><a id="l01485" name="l01485"></a><span class="lineno"> 1485</span> </div>
|
||
|
|
<div class="line"><a id="l01486" name="l01486"></a><span class="lineno"> 1486</span> <span class="comment">// Change the column values.</span></div>
|
||
|
|
<div class="line"><a id="l01487" name="l01487"></a><span class="lineno"> 1487</span> glp_set_mat_col(problem_, col_index, non_zeros, data_indices.data(),</div>
|
||
|
|
<div class="line"><a id="l01488" name="l01488"></a><span class="lineno"> 1488</span> data_values.data());</div>
|
||
|
|
<div class="line"><a id="l01489" name="l01489"></a><span class="lineno"> 1489</span> </div>
|
||
|
|
<div class="line"><a id="l01490" name="l01490"></a><span class="lineno"> 1490</span> <span class="comment">// Cleanup the used data_xxx items to make sure we don't reuse those</span></div>
|
||
|
|
<div class="line"><a id="l01491" name="l01491"></a><span class="lineno"> 1491</span> <span class="comment">// values by mistake later.</span></div>
|
||
|
|
<div class="line"><a id="l01492" name="l01492"></a><span class="lineno"> 1492</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 1; i <= non_zeros; ++i) {</div>
|
||
|
|
<div class="line"><a id="l01493" name="l01493"></a><span class="lineno"> 1493</span> data_indices[i] = 0;</div>
|
||
|
|
<div class="line"><a id="l01494" name="l01494"></a><span class="lineno"> 1494</span> data_values[i] = 0;</div>
|
||
|
|
<div class="line"><a id="l01495" name="l01495"></a><span class="lineno"> 1495</span> }</div>
|
||
|
|
<div class="line"><a id="l01496" name="l01496"></a><span class="lineno"> 1496</span> }</div>
|
||
|
|
<div class="line"><a id="l01497" name="l01497"></a><span class="lineno"> 1497</span> }</div>
|
||
|
|
<div class="line"><a id="l01498" name="l01498"></a><span class="lineno"> 1498</span> </div>
|
||
|
|
<div class="line"><a id="l01499" name="l01499"></a><span class="lineno"> 1499</span> <span class="comment">// Add new rows, including the new columns' coefficients.</span></div>
|
||
|
|
<div class="line"><a id="l01500" name="l01500"></a><span class="lineno"> 1500</span> <span class="keywordflow">if</span> (first_new_cstr_id.has_value()) {</div>
|
||
|
|
<div class="line"><a id="l01501" name="l01501"></a><span class="lineno"> 1501</span> <span class="comment">// See the documentation for the existing rows above of the variables with</span></div>
|
||
|
|
<div class="line"><a id="l01502" name="l01502"></a><span class="lineno"> 1502</span> <span class="comment">// the same names.</span></div>
|
||
|
|
<div class="line"><a id="l01503" name="l01503"></a><span class="lineno"> 1503</span> std::vector<int> data_indices(variables_.ids.size() + 1);</div>
|
||
|
|
<div class="line"><a id="l01504" name="l01504"></a><span class="lineno"> 1504</span> std::vector<double> data_values(variables_.ids.size() + 1);</div>
|
||
|
|
<div class="line"><a id="l01505" name="l01505"></a><span class="lineno"> 1505</span> <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>& [row_id, row_coefficients] :</div>
|
||
|
|
<div class="line"><a id="l01506" name="l01506"></a><span class="lineno"> 1506</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#a73f32c619b1fc9c62bcd6c6b9123bb61">SparseSubmatrixByRows</a>(matrix_updates,</div>
|
||
|
|
<div class="line"><a id="l01507" name="l01507"></a><span class="lineno"> 1507</span> <span class="comment">/*start_row_id=*/</span>*first_new_cstr_id,</div>
|
||
|
|
<div class="line"><a id="l01508" name="l01508"></a><span class="lineno"> 1508</span> <span class="comment">/*end_row_id=*/</span>std::nullopt,</div>
|
||
|
|
<div class="line"><a id="l01509" name="l01509"></a><span class="lineno"> 1509</span> <span class="comment">/*start_col_id=*/</span>0,</div>
|
||
|
|
<div class="line"><a id="l01510" name="l01510"></a><span class="lineno"> 1510</span> <span class="comment">/*end_col_id=*/</span>std::nullopt)) {</div>
|
||
|
|
<div class="line"><a id="l01511" name="l01511"></a><span class="lineno"> 1511</span> <span class="comment">// Find the index of the row in GLPK corresponding to the MathOpt's row</span></div>
|
||
|
|
<div class="line"><a id="l01512" name="l01512"></a><span class="lineno"> 1512</span> <span class="comment">// id.</span></div>
|
||
|
|
<div class="line"><a id="l01513" name="l01513"></a><span class="lineno"> 1513</span> <span class="keyword">const</span> <span class="keywordtype">int</span> row_index = linear_constraints_.id_to_index.at(row_id);</div>
|
||
|
|
<div class="line"><a id="l01514" name="l01514"></a><span class="lineno"> 1514</span> <a class="code hl_define" href="base_2logging_8h.html#a7c0ce053b28d53aa4eaf3eb7fb71663b">CHECK_EQ</a>(linear_constraints_.ids[row_index - 1], row_id);</div>
|
||
|
|
<div class="line"><a id="l01515" name="l01515"></a><span class="lineno"> 1515</span> </div>
|
||
|
|
<div class="line"><a id="l01516" name="l01516"></a><span class="lineno"> 1516</span> <span class="comment">// Prepare the row data replacing MathOpt ids by GLPK one-based column</span></div>
|
||
|
|
<div class="line"><a id="l01517" name="l01517"></a><span class="lineno"> 1517</span> <span class="comment">// indices.</span></div>
|
||
|
|
<div class="line"><a id="l01518" name="l01518"></a><span class="lineno"> 1518</span> <span class="keywordtype">int</span> non_zeros = 0;</div>
|
||
|
|
<div class="line"><a id="l01519" name="l01519"></a><span class="lineno"> 1519</span> <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span> [col_id, <a class="code hl_variable" href="routing__filters_8cc.html#a8e4ee19dee0e00541dbe9bbc83d806ba">coefficient</a>] : row_coefficients) {</div>
|
||
|
|
<div class="line"><a id="l01520" name="l01520"></a><span class="lineno"> 1520</span> <span class="keyword">const</span> <span class="keywordtype">int</span> col_index = variables_.id_to_index.at(col_id);</div>
|
||
|
|
<div class="line"><a id="l01521" name="l01521"></a><span class="lineno"> 1521</span> <a class="code hl_define" href="base_2logging_8h.html#a7c0ce053b28d53aa4eaf3eb7fb71663b">CHECK_EQ</a>(variables_.ids[col_index - 1], col_id);</div>
|
||
|
|
<div class="line"><a id="l01522" name="l01522"></a><span class="lineno"> 1522</span> </div>
|
||
|
|
<div class="line"><a id="l01523" name="l01523"></a><span class="lineno"> 1523</span> ++non_zeros;</div>
|
||
|
|
<div class="line"><a id="l01524" name="l01524"></a><span class="lineno"> 1524</span> data_indices[non_zeros] = col_index;</div>
|
||
|
|
<div class="line"><a id="l01525" name="l01525"></a><span class="lineno"> 1525</span> data_values[non_zeros] = <a class="code hl_variable" href="routing__filters_8cc.html#a8e4ee19dee0e00541dbe9bbc83d806ba">coefficient</a>;</div>
|
||
|
|
<div class="line"><a id="l01526" name="l01526"></a><span class="lineno"> 1526</span> }</div>
|
||
|
|
<div class="line"><a id="l01527" name="l01527"></a><span class="lineno"> 1527</span> <a class="code hl_define" href="base_2logging_8h.html#ae4db23f10f5d4aad6d735f5a74cd6f8c">CHECK_LE</a>(non_zeros + 1, data_indices.size());</div>
|
||
|
|
<div class="line"><a id="l01528" name="l01528"></a><span class="lineno"> 1528</span> <a class="code hl_define" href="base_2logging_8h.html#ae4db23f10f5d4aad6d735f5a74cd6f8c">CHECK_LE</a>(non_zeros + 1, data_values.size());</div>
|
||
|
|
<div class="line"><a id="l01529" name="l01529"></a><span class="lineno"> 1529</span> </div>
|
||
|
|
<div class="line"><a id="l01530" name="l01530"></a><span class="lineno"> 1530</span> <span class="comment">// Change the row values.</span></div>
|
||
|
|
<div class="line"><a id="l01531" name="l01531"></a><span class="lineno"> 1531</span> glp_set_mat_row(problem_, row_index, non_zeros, data_indices.data(),</div>
|
||
|
|
<div class="line"><a id="l01532" name="l01532"></a><span class="lineno"> 1532</span> data_values.data());</div>
|
||
|
|
<div class="line"><a id="l01533" name="l01533"></a><span class="lineno"> 1533</span> </div>
|
||
|
|
<div class="line"><a id="l01534" name="l01534"></a><span class="lineno"> 1534</span> <span class="comment">// Cleanup the used data_xxx items to make sure we don't reuse those</span></div>
|
||
|
|
<div class="line"><a id="l01535" name="l01535"></a><span class="lineno"> 1535</span> <span class="comment">// values by mistake later.</span></div>
|
||
|
|
<div class="line"><a id="l01536" name="l01536"></a><span class="lineno"> 1536</span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 1; i <= non_zeros; ++i) {</div>
|
||
|
|
<div class="line"><a id="l01537" name="l01537"></a><span class="lineno"> 1537</span> data_indices[i] = 0;</div>
|
||
|
|
<div class="line"><a id="l01538" name="l01538"></a><span class="lineno"> 1538</span> data_values[i] = 0;</div>
|
||
|
|
<div class="line"><a id="l01539" name="l01539"></a><span class="lineno"> 1539</span> }</div>
|
||
|
|
<div class="line"><a id="l01540" name="l01540"></a><span class="lineno"> 1540</span> }</div>
|
||
|
|
<div class="line"><a id="l01541" name="l01541"></a><span class="lineno"> 1541</span> }</div>
|
||
|
|
<div class="line"><a id="l01542" name="l01542"></a><span class="lineno"> 1542</span>}</div>
|
||
|
|
<div class="line"><a id="l01543" name="l01543"></a><span class="lineno"> 1543</span> </div>
|
||
|
|
<div class="line"><a id="l01544" name="l01544"></a><span class="lineno"> 1544</span><span class="keywordtype">void</span> GlpkSolver::AddPrimalSolution(</div>
|
||
|
|
<div class="line"><a id="l01545" name="l01545"></a><span class="lineno"> 1545</span> <span class="keywordtype">int</span> (*get_prim_stat)(glp_prob*), <span class="keywordtype">double</span> (*obj_val)(glp_prob*),</div>
|
||
|
|
<div class="line"><a id="l01546" name="l01546"></a><span class="lineno"> 1546</span> <span class="keywordtype">double</span> (*col_val)(glp_prob*, <span class="keywordtype">int</span>),</div>
|
||
|
|
<div class="line"><a id="l01547" name="l01547"></a><span class="lineno"> 1547</span> <span class="keyword">const</span> ModelSolveParametersProto& model_parameters,</div>
|
||
|
|
<div class="line"><a id="l01548" name="l01548"></a><span class="lineno"> 1548</span> SolutionProto& solution_proto) {</div>
|
||
|
|
<div class="line"><a id="l01549" name="l01549"></a><span class="lineno"> 1549</span> <span class="keyword">const</span> <span class="keywordtype">int</span> <a class="code hl_variable" href="g__gurobi_8cc.html#a2237393c7ae7ad7344c9885066d5ab6d">status</a> = get_prim_stat(problem_);</div>
|
||
|
|
<div class="line"><a id="l01550" name="l01550"></a><span class="lineno"> 1550</span> <span class="keywordflow">if</span> (<a class="code hl_variable" href="g__gurobi_8cc.html#a2237393c7ae7ad7344c9885066d5ab6d">status</a> == GLP_OPT || <a class="code hl_variable" href="g__gurobi_8cc.html#a2237393c7ae7ad7344c9885066d5ab6d">status</a> == GLP_FEAS) {</div>
|
||
|
|
<div class="line"><a id="l01551" name="l01551"></a><span class="lineno"> 1551</span> PrimalSolutionProto& primal_solution =</div>
|
||
|
|
<div class="line"><a id="l01552" name="l01552"></a><span class="lineno"> 1552</span> *solution_proto.mutable_primal_solution();</div>
|
||
|
|
<div class="line"><a id="l01553" name="l01553"></a><span class="lineno"> 1553</span> primal_solution.set_objective_value(obj_val(problem_));</div>
|
||
|
|
<div class="line"><a id="l01554" name="l01554"></a><span class="lineno"> 1554</span> primal_solution.set_feasibility_status(SOLUTION_STATUS_FEASIBLE);</div>
|
||
|
|
<div class="line"><a id="l01555" name="l01555"></a><span class="lineno"> 1555</span> *primal_solution.mutable_variable_values() =</div>
|
||
|
|
<div class="line"><a id="l01556" name="l01556"></a><span class="lineno"> 1556</span> FilteredVector(problem_, model_parameters.variable_values_filter(),</div>
|
||
|
|
<div class="line"><a id="l01557" name="l01557"></a><span class="lineno"> 1557</span> variables_.ids, col_val);</div>
|
||
|
|
<div class="line"><a id="l01558" name="l01558"></a><span class="lineno"> 1558</span> }</div>
|
||
|
|
<div class="line"><a id="l01559" name="l01559"></a><span class="lineno"> 1559</span>}</div>
|
||
|
|
<div class="line"><a id="l01560" name="l01560"></a><span class="lineno"> 1560</span> </div>
|
||
|
|
<div class="line"><a id="l01561" name="l01561"></a><span class="lineno"> 1561</span><span class="keywordtype">void</span> GlpkSolver::AddDualSolution(</div>
|
||
|
|
<div class="line"><a id="l01562" name="l01562"></a><span class="lineno"> 1562</span> <span class="keywordtype">int</span> (*get_dual_stat)(glp_prob*), <span class="keywordtype">double</span> (*obj_val)(glp_prob*),</div>
|
||
|
|
<div class="line"><a id="l01563" name="l01563"></a><span class="lineno"> 1563</span> <span class="keywordtype">double</span> (*row_dual)(glp_prob*, <span class="keywordtype">int</span>), <span class="keywordtype">double</span> (*col_dual)(glp_prob*, <span class="keywordtype">int</span>),</div>
|
||
|
|
<div class="line"><a id="l01564" name="l01564"></a><span class="lineno"> 1564</span> <span class="keyword">const</span> ModelSolveParametersProto& model_parameters,</div>
|
||
|
|
<div class="line"><a id="l01565" name="l01565"></a><span class="lineno"> 1565</span> SolutionProto& solution_proto) {</div>
|
||
|
|
<div class="line"><a id="l01566" name="l01566"></a><span class="lineno"> 1566</span> <span class="keyword">const</span> <span class="keywordtype">int</span> <a class="code hl_variable" href="g__gurobi_8cc.html#a2237393c7ae7ad7344c9885066d5ab6d">status</a> = get_dual_stat(problem_);</div>
|
||
|
|
<div class="line"><a id="l01567" name="l01567"></a><span class="lineno"> 1567</span> <span class="keywordflow">if</span> (<a class="code hl_variable" href="g__gurobi_8cc.html#a2237393c7ae7ad7344c9885066d5ab6d">status</a> == GLP_OPT || <a class="code hl_variable" href="g__gurobi_8cc.html#a2237393c7ae7ad7344c9885066d5ab6d">status</a> == GLP_FEAS) {</div>
|
||
|
|
<div class="line"><a id="l01568" name="l01568"></a><span class="lineno"> 1568</span> DualSolutionProto& dual_solution = *solution_proto.mutable_dual_solution();</div>
|
||
|
|
<div class="line"><a id="l01569" name="l01569"></a><span class="lineno"> 1569</span> dual_solution.set_objective_value(obj_val(problem_));</div>
|
||
|
|
<div class="line"><a id="l01570" name="l01570"></a><span class="lineno"> 1570</span> *dual_solution.mutable_dual_values() =</div>
|
||
|
|
<div class="line"><a id="l01571" name="l01571"></a><span class="lineno"> 1571</span> FilteredVector(problem_, model_parameters.dual_values_filter(),</div>
|
||
|
|
<div class="line"><a id="l01572" name="l01572"></a><span class="lineno"> 1572</span> linear_constraints_.ids, row_dual);</div>
|
||
|
|
<div class="line"><a id="l01573" name="l01573"></a><span class="lineno"> 1573</span> *dual_solution.mutable_reduced_costs() =</div>
|
||
|
|
<div class="line"><a id="l01574" name="l01574"></a><span class="lineno"> 1574</span> FilteredVector(problem_, model_parameters.reduced_costs_filter(),</div>
|
||
|
|
<div class="line"><a id="l01575" name="l01575"></a><span class="lineno"> 1575</span> variables_.ids, col_dual);</div>
|
||
|
|
<div class="line"><a id="l01576" name="l01576"></a><span class="lineno"> 1576</span> <span class="comment">// TODO(b/197867442): Check that `status == GLP_FEAS` implies dual feasible</span></div>
|
||
|
|
<div class="line"><a id="l01577" name="l01577"></a><span class="lineno"> 1577</span> <span class="comment">// solution on early termination with barrier (where both `get_dual_stat`</span></div>
|
||
|
|
<div class="line"><a id="l01578" name="l01578"></a><span class="lineno"> 1578</span> <span class="comment">// and `get_prim_stat` are equal to `glp_ipt_status`).</span></div>
|
||
|
|
<div class="line"><a id="l01579" name="l01579"></a><span class="lineno"> 1579</span> dual_solution.set_feasibility_status(SOLUTION_STATUS_FEASIBLE);</div>
|
||
|
|
<div class="line"><a id="l01580" name="l01580"></a><span class="lineno"> 1580</span> }</div>
|
||
|
|
<div class="line"><a id="l01581" name="l01581"></a><span class="lineno"> 1581</span>}</div>
|
||
|
|
<div class="line"><a id="l01582" name="l01582"></a><span class="lineno"> 1582</span> </div>
|
||
|
|
<div class="line"><a id="l01583" name="l01583"></a><span class="lineno"> 1583</span>absl::Status GlpkSolver::AddPrimalOrDualRay(</div>
|
||
|
|
<div class="line"><a id="l01584" name="l01584"></a><span class="lineno"> 1584</span> <span class="keyword">const</span> ModelSolveParametersProto& model_parameters,</div>
|
||
|
|
<div class="line"><a id="l01585" name="l01585"></a><span class="lineno"> 1585</span> SolveResultProto& result) {</div>
|
||
|
|
<div class="line"><a id="l01586" name="l01586"></a><span class="lineno"> 1586</span> <a class="code hl_define" href="base_2status__macros_8h.html#a600de4b8f65fe0a4b1898041634f9011">ASSIGN_OR_RETURN</a>(<span class="keyword">const</span> std::optional<GlpkRay> opt_unbound_ray,</div>
|
||
|
|
<div class="line"><a id="l01587" name="l01587"></a><span class="lineno"> 1587</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#aa3bcd3f312f5746e50d53bd5a8dedd2a">GlpkComputeUnboundRay</a>(problem_));</div>
|
||
|
|
<div class="line"><a id="l01588" name="l01588"></a><span class="lineno"> 1588</span> <span class="keywordflow">if</span> (!opt_unbound_ray.has_value()) {</div>
|
||
|
|
<div class="line"><a id="l01589" name="l01589"></a><span class="lineno"> 1589</span> <span class="keywordflow">return</span> absl::OkStatus();</div>
|
||
|
|
<div class="line"><a id="l01590" name="l01590"></a><span class="lineno"> 1590</span> }</div>
|
||
|
|
<div class="line"><a id="l01591" name="l01591"></a><span class="lineno"> 1591</span> </div>
|
||
|
|
<div class="line"><a id="l01592" name="l01592"></a><span class="lineno"> 1592</span> <span class="keyword">const</span> <span class="keywordtype">int</span> num_cstrs = linear_constraints_.ids.size();</div>
|
||
|
|
<div class="line"><a id="l01593" name="l01593"></a><span class="lineno"> 1593</span> <span class="keywordflow">switch</span> (opt_unbound_ray->type) {</div>
|
||
|
|
<div class="line"><a id="l01594" name="l01594"></a><span class="lineno"> 1594</span> <span class="keywordflow">case</span> <a class="code hl_enumvalue" href="namespaceoperations__research_1_1math__opt.html#ad6ffe3747921431333fa443d04f0dcd7a168c8e12a7f30e09240e40ae392f3c1e">GlpkRayType::kPrimal</a>: {</div>
|
||
|
|
<div class="line"><a id="l01595" name="l01595"></a><span class="lineno"> 1595</span> <span class="keyword">const</span> <span class="keywordtype">int</span> num_cstrs = linear_constraints_.ids.size();</div>
|
||
|
|
<div class="line"><a id="l01596" name="l01596"></a><span class="lineno"> 1596</span> <span class="comment">// Note that GlpkComputeUnboundRay() returned ray considers the variables</span></div>
|
||
|
|
<div class="line"><a id="l01597" name="l01597"></a><span class="lineno"> 1597</span> <span class="comment">// of the computational form. Thus it contains both structural and</span></div>
|
||
|
|
<div class="line"><a id="l01598" name="l01598"></a><span class="lineno"> 1598</span> <span class="comment">// auxiliary variables. In the MathOpt's primal ray we only consider</span></div>
|
||
|
|
<div class="line"><a id="l01599" name="l01599"></a><span class="lineno"> 1599</span> <span class="comment">// structural variables though.</span></div>
|
||
|
|
<div class="line"><a id="l01600" name="l01600"></a><span class="lineno"> 1600</span> std::vector<double> ray_values(variables_.ids.size());</div>
|
||
|
|
<div class="line"><a id="l01601" name="l01601"></a><span class="lineno"> 1601</span> </div>
|
||
|
|
<div class="line"><a id="l01602" name="l01602"></a><span class="lineno"> 1602</span> <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span> [k, <a class="code hl_variable" href="demon__profiler_8cc.html#ac072af30c4ffbc834bb4c681f6ecb514">value</a>] : opt_unbound_ray->non_zero_components) {</div>
|
||
|
|
<div class="line"><a id="l01603" name="l01603"></a><span class="lineno"> 1603</span> <span class="keywordflow">if</span> (k <= num_cstrs) {</div>
|
||
|
|
<div class="line"><a id="l01604" name="l01604"></a><span class="lineno"> 1604</span> <span class="comment">// Ignore auxiliary variables.</span></div>
|
||
|
|
<div class="line"><a id="l01605" name="l01605"></a><span class="lineno"> 1605</span> <span class="keywordflow">continue</span>;</div>
|
||
|
|
<div class="line"><a id="l01606" name="l01606"></a><span class="lineno"> 1606</span> }</div>
|
||
|
|
<div class="line"><a id="l01607" name="l01607"></a><span class="lineno"> 1607</span> <span class="keyword">const</span> <span class="keywordtype">int</span> var_index = k - num_cstrs;</div>
|
||
|
|
<div class="line"><a id="l01608" name="l01608"></a><span class="lineno"> 1608</span> <a class="code hl_define" href="base_2logging_8h.html#a7cc25402ecd7591b4c39934dd656b1f9">CHECK_GE</a>(var_index, 1);</div>
|
||
|
|
<div class="line"><a id="l01609" name="l01609"></a><span class="lineno"> 1609</span> ray_values[var_index - 1] = <a class="code hl_variable" href="demon__profiler_8cc.html#ac072af30c4ffbc834bb4c681f6ecb514">value</a>;</div>
|
||
|
|
<div class="line"><a id="l01610" name="l01610"></a><span class="lineno"> 1610</span> }</div>
|
||
|
|
<div class="line"><a id="l01611" name="l01611"></a><span class="lineno"> 1611</span> </div>
|
||
|
|
<div class="line"><a id="l01612" name="l01612"></a><span class="lineno"> 1612</span> *result.add_primal_rays()->mutable_variable_values() =</div>
|
||
|
|
<div class="line"><a id="l01613" name="l01613"></a><span class="lineno"> 1613</span> FilteredRay(model_parameters.variable_values_filter(), variables_.ids,</div>
|
||
|
|
<div class="line"><a id="l01614" name="l01614"></a><span class="lineno"> 1614</span> ray_values);</div>
|
||
|
|
<div class="line"><a id="l01615" name="l01615"></a><span class="lineno"> 1615</span> </div>
|
||
|
|
<div class="line"><a id="l01616" name="l01616"></a><span class="lineno"> 1616</span> <span class="keywordflow">return</span> absl::OkStatus();</div>
|
||
|
|
<div class="line"><a id="l01617" name="l01617"></a><span class="lineno"> 1617</span> }</div>
|
||
|
|
<div class="line"><a id="l01618" name="l01618"></a><span class="lineno"> 1618</span> <span class="keywordflow">case</span> <a class="code hl_enumvalue" href="namespaceoperations__research_1_1math__opt.html#ad6ffe3747921431333fa443d04f0dcd7a853ead83f7e75b38bba794318254dc91">GlpkRayType::kDual</a>: {</div>
|
||
|
|
<div class="line"><a id="l01619" name="l01619"></a><span class="lineno"> 1619</span> <span class="comment">// Note that GlpkComputeUnboundRay() returned ray considers the variables</span></div>
|
||
|
|
<div class="line"><a id="l01620" name="l01620"></a><span class="lineno"> 1620</span> <span class="comment">// of the computational form. Thus it contains reduced costs of both</span></div>
|
||
|
|
<div class="line"><a id="l01621" name="l01621"></a><span class="lineno"> 1621</span> <span class="comment">// structural and auxiliary variables. In the MathOpt's dual ray we split</span></div>
|
||
|
|
<div class="line"><a id="l01622" name="l01622"></a><span class="lineno"> 1622</span> <span class="comment">// the reduced costs. The ones of auxiliary variables (variables of</span></div>
|
||
|
|
<div class="line"><a id="l01623" name="l01623"></a><span class="lineno"> 1623</span> <span class="comment">// constraints) are called "dual values" and the ones of structural</span></div>
|
||
|
|
<div class="line"><a id="l01624" name="l01624"></a><span class="lineno"> 1624</span> <span class="comment">// variables are called "reduced costs".</span></div>
|
||
|
|
<div class="line"><a id="l01625" name="l01625"></a><span class="lineno"> 1625</span> std::vector<double> ray_reduced_costs(variables_.ids.size());</div>
|
||
|
|
<div class="line"><a id="l01626" name="l01626"></a><span class="lineno"> 1626</span> std::vector<double> ray_dual_values(num_cstrs);</div>
|
||
|
|
<div class="line"><a id="l01627" name="l01627"></a><span class="lineno"> 1627</span> </div>
|
||
|
|
<div class="line"><a id="l01628" name="l01628"></a><span class="lineno"> 1628</span> <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span> [k, <a class="code hl_variable" href="demon__profiler_8cc.html#ac072af30c4ffbc834bb4c681f6ecb514">value</a>] : opt_unbound_ray->non_zero_components) {</div>
|
||
|
|
<div class="line"><a id="l01629" name="l01629"></a><span class="lineno"> 1629</span> <span class="keywordflow">if</span> (k <= num_cstrs) {</div>
|
||
|
|
<div class="line"><a id="l01630" name="l01630"></a><span class="lineno"> 1630</span> ray_dual_values[k - 1] = <a class="code hl_variable" href="demon__profiler_8cc.html#ac072af30c4ffbc834bb4c681f6ecb514">value</a>;</div>
|
||
|
|
<div class="line"><a id="l01631" name="l01631"></a><span class="lineno"> 1631</span> } <span class="keywordflow">else</span> {</div>
|
||
|
|
<div class="line"><a id="l01632" name="l01632"></a><span class="lineno"> 1632</span> <span class="keyword">const</span> <span class="keywordtype">int</span> var_index = k - num_cstrs;</div>
|
||
|
|
<div class="line"><a id="l01633" name="l01633"></a><span class="lineno"> 1633</span> <a class="code hl_define" href="base_2logging_8h.html#a7cc25402ecd7591b4c39934dd656b1f9">CHECK_GE</a>(var_index, 1);</div>
|
||
|
|
<div class="line"><a id="l01634" name="l01634"></a><span class="lineno"> 1634</span> ray_reduced_costs[var_index - 1] = <a class="code hl_variable" href="demon__profiler_8cc.html#ac072af30c4ffbc834bb4c681f6ecb514">value</a>;</div>
|
||
|
|
<div class="line"><a id="l01635" name="l01635"></a><span class="lineno"> 1635</span> }</div>
|
||
|
|
<div class="line"><a id="l01636" name="l01636"></a><span class="lineno"> 1636</span> }</div>
|
||
|
|
<div class="line"><a id="l01637" name="l01637"></a><span class="lineno"> 1637</span> </div>
|
||
|
|
<div class="line"><a id="l01638" name="l01638"></a><span class="lineno"> 1638</span> DualRayProto& dual_ray = *result.add_dual_rays();</div>
|
||
|
|
<div class="line"><a id="l01639" name="l01639"></a><span class="lineno"> 1639</span> *dual_ray.mutable_dual_values() =</div>
|
||
|
|
<div class="line"><a id="l01640" name="l01640"></a><span class="lineno"> 1640</span> FilteredRay(model_parameters.dual_values_filter(),</div>
|
||
|
|
<div class="line"><a id="l01641" name="l01641"></a><span class="lineno"> 1641</span> linear_constraints_.ids, ray_dual_values);</div>
|
||
|
|
<div class="line"><a id="l01642" name="l01642"></a><span class="lineno"> 1642</span> *dual_ray.mutable_reduced_costs() =</div>
|
||
|
|
<div class="line"><a id="l01643" name="l01643"></a><span class="lineno"> 1643</span> FilteredRay(model_parameters.reduced_costs_filter(), variables_.ids,</div>
|
||
|
|
<div class="line"><a id="l01644" name="l01644"></a><span class="lineno"> 1644</span> ray_reduced_costs);</div>
|
||
|
|
<div class="line"><a id="l01645" name="l01645"></a><span class="lineno"> 1645</span> </div>
|
||
|
|
<div class="line"><a id="l01646" name="l01646"></a><span class="lineno"> 1646</span> <span class="keywordflow">return</span> absl::OkStatus();</div>
|
||
|
|
<div class="line"><a id="l01647" name="l01647"></a><span class="lineno"> 1647</span> }</div>
|
||
|
|
<div class="line"><a id="l01648" name="l01648"></a><span class="lineno"> 1648</span> }</div>
|
||
|
|
<div class="line"><a id="l01649" name="l01649"></a><span class="lineno"> 1649</span>}</div>
|
||
|
|
<div class="line"><a id="l01650" name="l01650"></a><span class="lineno"> 1650</span> </div>
|
||
|
|
<div class="line"><a id="l01651" name="l01651"></a><span class="lineno"><a class="line" href="classoperations__research_1_1math__opt_1_1_glpk_solver.html#a4dc835d3171da48778de1bbea39f8448"> 1651</a></span>absl::Status <a class="code hl_function" href="classoperations__research_1_1math__opt_1_1_glpk_solver.html#a4dc835d3171da48778de1bbea39f8448">GlpkSolver::Update</a>(<span class="keyword">const</span> ModelUpdateProto& model_update) {</div>
|
||
|
|
<div class="line"><a id="l01652" name="l01652"></a><span class="lineno"> 1652</span> <span class="keywordflow">if</span> (!model_update.objective_updates()</div>
|
||
|
|
<div class="line"><a id="l01653" name="l01653"></a><span class="lineno"> 1653</span> .quadratic_coefficients()</div>
|
||
|
|
<div class="line"><a id="l01654" name="l01654"></a><span class="lineno"> 1654</span> .row_ids()</div>
|
||
|
|
<div class="line"><a id="l01655" name="l01655"></a><span class="lineno"> 1655</span> .empty()) {</div>
|
||
|
|
<div class="line"><a id="l01656" name="l01656"></a><span class="lineno"> 1656</span> <span class="keywordflow">return</span> QuadraticObjectiveError();</div>
|
||
|
|
<div class="line"><a id="l01657" name="l01657"></a><span class="lineno"> 1657</span> }</div>
|
||
|
|
<div class="line"><a id="l01658" name="l01658"></a><span class="lineno"> 1658</span> </div>
|
||
|
|
<div class="line"><a id="l01659" name="l01659"></a><span class="lineno"> 1659</span> <span class="comment">// TODO(b/187027049): GLPK should not support modifying the model from another</span></div>
|
||
|
|
<div class="line"><a id="l01660" name="l01660"></a><span class="lineno"> 1660</span> <span class="comment">// thread (the allocation depends on the per-thread environment). We should</span></div>
|
||
|
|
<div class="line"><a id="l01661" name="l01661"></a><span class="lineno"> 1661</span> <span class="comment">// unit test that and see what is the actual behavior. If GLPK itself does not</span></div>
|
||
|
|
<div class="line"><a id="l01662" name="l01662"></a><span class="lineno"> 1662</span> <span class="comment">// provide its own assertion we should add one here.</span></div>
|
||
|
|
<div class="line"><a id="l01663" name="l01663"></a><span class="lineno"> 1663</span> {</div>
|
||
|
|
<div class="line"><a id="l01664" name="l01664"></a><span class="lineno"> 1664</span> <span class="keyword">const</span> std::vector<int> sorted_deleted_cols = DeleteRowsOrCols(</div>
|
||
|
|
<div class="line"><a id="l01665" name="l01665"></a><span class="lineno"> 1665</span> problem_, variables_, model_update.deleted_variable_ids());</div>
|
||
|
|
<div class="line"><a id="l01666" name="l01666"></a><span class="lineno"> 1666</span> DeleteRowOrColData(variables_.unrounded_lower_bounds, sorted_deleted_cols);</div>
|
||
|
|
<div class="line"><a id="l01667" name="l01667"></a><span class="lineno"> 1667</span> DeleteRowOrColData(variables_.unrounded_upper_bounds, sorted_deleted_cols);</div>
|
||
|
|
<div class="line"><a id="l01668" name="l01668"></a><span class="lineno"> 1668</span> <a class="code hl_define" href="base_2logging_8h.html#a7c0ce053b28d53aa4eaf3eb7fb71663b">CHECK_EQ</a>(variables_.unrounded_lower_bounds.size(),</div>
|
||
|
|
<div class="line"><a id="l01669" name="l01669"></a><span class="lineno"> 1669</span> variables_.unrounded_upper_bounds.size());</div>
|
||
|
|
<div class="line"><a id="l01670" name="l01670"></a><span class="lineno"> 1670</span> <a class="code hl_define" href="base_2logging_8h.html#a7c0ce053b28d53aa4eaf3eb7fb71663b">CHECK_EQ</a>(variables_.unrounded_lower_bounds.size(), variables_.ids.size());</div>
|
||
|
|
<div class="line"><a id="l01671" name="l01671"></a><span class="lineno"> 1671</span> }</div>
|
||
|
|
<div class="line"><a id="l01672" name="l01672"></a><span class="lineno"> 1672</span> DeleteRowsOrCols(problem_, linear_constraints_,</div>
|
||
|
|
<div class="line"><a id="l01673" name="l01673"></a><span class="lineno"> 1673</span> model_update.deleted_linear_constraint_ids());</div>
|
||
|
|
<div class="line"><a id="l01674" name="l01674"></a><span class="lineno"> 1674</span> </div>
|
||
|
|
<div class="line"><a id="l01675" name="l01675"></a><span class="lineno"> 1675</span> <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span> [var_id, is_integer] :</div>
|
||
|
|
<div class="line"><a id="l01676" name="l01676"></a><span class="lineno"> 1676</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#a80e158d48db32a3bbbe915179b36e405">MakeView</a>(model_update.variable_updates().integers())) {</div>
|
||
|
|
<div class="line"><a id="l01677" name="l01677"></a><span class="lineno"> 1677</span> <span class="comment">// See comment in AddVariables() to see why we don't use GLP_BV here.</span></div>
|
||
|
|
<div class="line"><a id="l01678" name="l01678"></a><span class="lineno"> 1678</span> <span class="keyword">const</span> <span class="keywordtype">int</span> var_index = variables_.id_to_index.at(var_id);</div>
|
||
|
|
<div class="line"><a id="l01679" name="l01679"></a><span class="lineno"> 1679</span> glp_set_col_kind(problem_, var_index, is_integer ? GLP_IV : GLP_CV);</div>
|
||
|
|
<div class="line"><a id="l01680" name="l01680"></a><span class="lineno"> 1680</span> </div>
|
||
|
|
<div class="line"><a id="l01681" name="l01681"></a><span class="lineno"> 1681</span> <span class="comment">// Either restore the fractional bounds if the variable was integer and is</span></div>
|
||
|
|
<div class="line"><a id="l01682" name="l01682"></a><span class="lineno"> 1682</span> <span class="comment">// now integer, or rounds the existing bounds if the variable was fractional</span></div>
|
||
|
|
<div class="line"><a id="l01683" name="l01683"></a><span class="lineno"> 1683</span> <span class="comment">// and is now integer. Here we use the old bounds; they will get updated</span></div>
|
||
|
|
<div class="line"><a id="l01684" name="l01684"></a><span class="lineno"> 1684</span> <span class="comment">// below by the call to UpdateBounds() if they are also changed by this</span></div>
|
||
|
|
<div class="line"><a id="l01685" name="l01685"></a><span class="lineno"> 1685</span> <span class="comment">// update.</span></div>
|
||
|
|
<div class="line"><a id="l01686" name="l01686"></a><span class="lineno"> 1686</span> SetBounds<Variables>(</div>
|
||
|
|
<div class="line"><a id="l01687" name="l01687"></a><span class="lineno"> 1687</span> problem_, var_index,</div>
|
||
|
|
<div class="line"><a id="l01688" name="l01688"></a><span class="lineno"> 1688</span> {.lower = variables_.unrounded_lower_bounds[var_index - 1],</div>
|
||
|
|
<div class="line"><a id="l01689" name="l01689"></a><span class="lineno"> 1689</span> .upper = variables_.unrounded_upper_bounds[var_index - 1]});</div>
|
||
|
|
<div class="line"><a id="l01690" name="l01690"></a><span class="lineno"> 1690</span> }</div>
|
||
|
|
<div class="line"><a id="l01691" name="l01691"></a><span class="lineno"> 1691</span> <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span> [var_id, <a class="code hl_variable" href="gscip__solver_8cc.html#a1e2f9a2352c1d9a6cada9544898fceec">lower_bound</a>] :</div>
|
||
|
|
<div class="line"><a id="l01692" name="l01692"></a><span class="lineno"> 1692</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#a80e158d48db32a3bbbe915179b36e405">MakeView</a>(model_update.variable_updates().lower_bounds())) {</div>
|
||
|
|
<div class="line"><a id="l01693" name="l01693"></a><span class="lineno"> 1693</span> variables_.unrounded_lower_bounds[variables_.id_to_index.at(var_id) - 1] =</div>
|
||
|
|
<div class="line"><a id="l01694" name="l01694"></a><span class="lineno"> 1694</span> <a class="code hl_variable" href="gscip__solver_8cc.html#a1e2f9a2352c1d9a6cada9544898fceec">lower_bound</a>;</div>
|
||
|
|
<div class="line"><a id="l01695" name="l01695"></a><span class="lineno"> 1695</span> }</div>
|
||
|
|
<div class="line"><a id="l01696" name="l01696"></a><span class="lineno"> 1696</span> <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span> [var_id, <a class="code hl_variable" href="gscip__solver_8cc.html#a1ba5ca0f61f2fa13bd23bf0f89004f35">upper_bound</a>] :</div>
|
||
|
|
<div class="line"><a id="l01697" name="l01697"></a><span class="lineno"> 1697</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#a80e158d48db32a3bbbe915179b36e405">MakeView</a>(model_update.variable_updates().upper_bounds())) {</div>
|
||
|
|
<div class="line"><a id="l01698" name="l01698"></a><span class="lineno"> 1698</span> variables_.unrounded_upper_bounds[variables_.id_to_index.at(var_id) - 1] =</div>
|
||
|
|
<div class="line"><a id="l01699" name="l01699"></a><span class="lineno"> 1699</span> <a class="code hl_variable" href="gscip__solver_8cc.html#a1ba5ca0f61f2fa13bd23bf0f89004f35">upper_bound</a>;</div>
|
||
|
|
<div class="line"><a id="l01700" name="l01700"></a><span class="lineno"> 1700</span> }</div>
|
||
|
|
<div class="line"><a id="l01701" name="l01701"></a><span class="lineno"> 1701</span> UpdateBounds(</div>
|
||
|
|
<div class="line"><a id="l01702" name="l01702"></a><span class="lineno"> 1702</span> problem_, variables_,</div>
|
||
|
|
<div class="line"><a id="l01703" name="l01703"></a><span class="lineno"> 1703</span> <span class="comment">/*lower_bounds_proto=*/</span>model_update.variable_updates().lower_bounds(),</div>
|
||
|
|
<div class="line"><a id="l01704" name="l01704"></a><span class="lineno"> 1704</span> <span class="comment">/*upper_bounds_proto=*/</span>model_update.variable_updates().upper_bounds());</div>
|
||
|
|
<div class="line"><a id="l01705" name="l01705"></a><span class="lineno"> 1705</span> UpdateBounds(problem_, linear_constraints_,</div>
|
||
|
|
<div class="line"><a id="l01706" name="l01706"></a><span class="lineno"> 1706</span> <span class="comment">/*lower_bounds_proto=*/</span></div>
|
||
|
|
<div class="line"><a id="l01707" name="l01707"></a><span class="lineno"> 1707</span> model_update.linear_constraint_updates().lower_bounds(),</div>
|
||
|
|
<div class="line"><a id="l01708" name="l01708"></a><span class="lineno"> 1708</span> <span class="comment">/*upper_bounds_proto=*/</span></div>
|
||
|
|
<div class="line"><a id="l01709" name="l01709"></a><span class="lineno"> 1709</span> model_update.linear_constraint_updates().upper_bounds());</div>
|
||
|
|
<div class="line"><a id="l01710" name="l01710"></a><span class="lineno"> 1710</span> </div>
|
||
|
|
<div class="line"><a id="l01711" name="l01711"></a><span class="lineno"> 1711</span> AddVariables(model_update.new_variables());</div>
|
||
|
|
<div class="line"><a id="l01712" name="l01712"></a><span class="lineno"> 1712</span> AddLinearConstraints(model_update.new_linear_constraints());</div>
|
||
|
|
<div class="line"><a id="l01713" name="l01713"></a><span class="lineno"> 1713</span> </div>
|
||
|
|
<div class="line"><a id="l01714" name="l01714"></a><span class="lineno"> 1714</span> <span class="keywordflow">if</span> (model_update.objective_updates().has_direction_update()) {</div>
|
||
|
|
<div class="line"><a id="l01715" name="l01715"></a><span class="lineno"> 1715</span> glp_set_obj_dir(problem_,</div>
|
||
|
|
<div class="line"><a id="l01716" name="l01716"></a><span class="lineno"> 1716</span> model_update.objective_updates().direction_update()</div>
|
||
|
|
<div class="line"><a id="l01717" name="l01717"></a><span class="lineno"> 1717</span> ? GLP_MAX</div>
|
||
|
|
<div class="line"><a id="l01718" name="l01718"></a><span class="lineno"> 1718</span> : GLP_MIN);</div>
|
||
|
|
<div class="line"><a id="l01719" name="l01719"></a><span class="lineno"> 1719</span> }</div>
|
||
|
|
<div class="line"><a id="l01720" name="l01720"></a><span class="lineno"> 1720</span> <span class="keywordflow">if</span> (model_update.objective_updates().has_offset_update()) {</div>
|
||
|
|
<div class="line"><a id="l01721" name="l01721"></a><span class="lineno"> 1721</span> <span class="comment">// Glpk uses index 0 for the "shift" of the objective.</span></div>
|
||
|
|
<div class="line"><a id="l01722" name="l01722"></a><span class="lineno"> 1722</span> glp_set_obj_coef(problem_, 0,</div>
|
||
|
|
<div class="line"><a id="l01723" name="l01723"></a><span class="lineno"> 1723</span> model_update.objective_updates().offset_update());</div>
|
||
|
|
<div class="line"><a id="l01724" name="l01724"></a><span class="lineno"> 1724</span> }</div>
|
||
|
|
<div class="line"><a id="l01725" name="l01725"></a><span class="lineno"> 1725</span> UpdateObjectiveCoefficients(</div>
|
||
|
|
<div class="line"><a id="l01726" name="l01726"></a><span class="lineno"> 1726</span> model_update.objective_updates().linear_coefficients());</div>
|
||
|
|
<div class="line"><a id="l01727" name="l01727"></a><span class="lineno"> 1727</span> </div>
|
||
|
|
<div class="line"><a id="l01728" name="l01728"></a><span class="lineno"> 1728</span> UpdateLinearConstraintMatrix(</div>
|
||
|
|
<div class="line"><a id="l01729" name="l01729"></a><span class="lineno"> 1729</span> model_update.linear_constraint_matrix_updates(),</div>
|
||
|
|
<div class="line"><a id="l01730" name="l01730"></a><span class="lineno"> 1730</span> <span class="comment">/*first_new_var_id=*/</span><a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#ac9d097a397c4fe057849dbfd724c54ed">FirstVariableId</a>(model_update.new_variables()),</div>
|
||
|
|
<div class="line"><a id="l01731" name="l01731"></a><span class="lineno"> 1731</span> <span class="comment">/*first_new_cstr_id=*/</span></div>
|
||
|
|
<div class="line"><a id="l01732" name="l01732"></a><span class="lineno"> 1732</span> <a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#a088b744cfba782a3dd913f24b636edac">FirstLinearConstraintId</a>(model_update.new_linear_constraints()));</div>
|
||
|
|
<div class="line"><a id="l01733" name="l01733"></a><span class="lineno"> 1733</span> </div>
|
||
|
|
<div class="line"><a id="l01734" name="l01734"></a><span class="lineno"> 1734</span> <span class="keywordflow">return</span> absl::OkStatus();</div>
|
||
|
|
<div class="line"><a id="l01735" name="l01735"></a><span class="lineno"> 1735</span>}</div>
|
||
|
|
<div class="line"><a id="l01736" name="l01736"></a><span class="lineno"> 1736</span> </div>
|
||
|
|
<div class="line"><a id="l01737" name="l01737"></a><span class="lineno"><a class="line" href="classoperations__research_1_1math__opt_1_1_glpk_solver.html#a1dcbb1374e91747a2db097361b091c8b"> 1737</a></span><span class="keywordtype">bool</span> <a class="code hl_function" href="classoperations__research_1_1math__opt_1_1_glpk_solver.html#a1dcbb1374e91747a2db097361b091c8b">GlpkSolver::CanUpdate</a>(<span class="keyword">const</span> ModelUpdateProto& model_update) {</div>
|
||
|
|
<div class="line"><a id="l01738" name="l01738"></a><span class="lineno"> 1738</span> <span class="comment">// We return true even if we have a quadratic objective so that we don't force</span></div>
|
||
|
|
<div class="line"><a id="l01739" name="l01739"></a><span class="lineno"> 1739</span> <span class="comment">// the caller to create a full model to get the error that quadratic</span></div>
|
||
|
|
<div class="line"><a id="l01740" name="l01740"></a><span class="lineno"> 1740</span> <span class="comment">// objectives are not supported. The caller will get the correct error</span></div>
|
||
|
|
<div class="line"><a id="l01741" name="l01741"></a><span class="lineno"> 1741</span> <span class="comment">// returned by GlpkSolver::Update().</span></div>
|
||
|
|
<div class="line"><a id="l01742" name="l01742"></a><span class="lineno"> 1742</span> <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
|
||
|
|
<div class="line"><a id="l01743" name="l01743"></a><span class="lineno"> 1743</span>}</div>
|
||
|
|
<div class="line"><a id="l01744" name="l01744"></a><span class="lineno"> 1744</span> </div>
|
||
|
|
<div class="line"><a id="l01745" name="l01745"></a><span class="lineno"> 1745</span><a class="code hl_function" href="namespaceoperations__research_1_1math__opt.html#a174eb56fe2f478a51da5bad317555b83">MATH_OPT_REGISTER_SOLVER</a>(SOLVER_TYPE_GLPK, <a class="code hl_function" href="classoperations__research_1_1math__opt_1_1_glpk_solver.html#a61ac0bc6afed786de631c4a91faeb866">GlpkSolver::New</a>)</div>
|
||
|
|
<div class="line"><a id="l01746" name="l01746"></a><span class="lineno"> 1746</span> </div>
|
||
|
|
<div class="line"><a id="l01747" name="l01747"></a><span class="lineno"> 1747</span>} <span class="comment">// namespace math_opt</span></div>
|
||
|
|
<div class="line"><a id="l01748" name="l01748"></a><span class="lineno"> 1748</span>} <span class="comment">// namespace operations_research</span></div>
|
||
|
|
<div class="ttc" id="aalldiff__cst_8cc_html_a26e6db9bcc64b584051ecc28171ed11f"><div class="ttname"><a href="alldiff__cst_8cc.html#a26e6db9bcc64b584051ecc28171ed11f">max</a></div><div class="ttdeci">int64_t max</div><div class="ttdef"><b>Definition:</b> <a href="alldiff__cst_8cc_source.html#l00140">alldiff_cst.cc:140</a></div></div>
|
||
|
|
<div class="ttc" id="aalldiff__cst_8cc_html_ad10edae0a852d72fb76afb1c77735045"><div class="ttname"><a href="alldiff__cst_8cc.html#ad10edae0a852d72fb76afb1c77735045">min</a></div><div class="ttdeci">int64_t min</div><div class="ttdef"><b>Definition:</b> <a href="alldiff__cst_8cc_source.html#l00139">alldiff_cst.cc:139</a></div></div>
|
||
|
|
<div class="ttc" id="abase_2logging_8h_html"><div class="ttname"><a href="base_2logging_8h.html">logging.h</a></div></div>
|
||
|
|
<div class="ttc" id="abase_2logging_8h_html_a3e1cfef60e774a81f30eaddf26a3a274"><div class="ttname"><a href="base_2logging_8h.html#a3e1cfef60e774a81f30eaddf26a3a274">CHECK</a></div><div class="ttdeci">#define CHECK(condition)</div><div class="ttdef"><b>Definition:</b> <a href="base_2logging_8h_source.html#l00495">base/logging.h:495</a></div></div>
|
||
|
|
<div class="ttc" id="abase_2logging_8h_html_a7c0ce053b28d53aa4eaf3eb7fb71663b"><div class="ttname"><a href="base_2logging_8h.html#a7c0ce053b28d53aa4eaf3eb7fb71663b">CHECK_EQ</a></div><div class="ttdeci">#define CHECK_EQ(val1, val2)</div><div class="ttdef"><b>Definition:</b> <a href="base_2logging_8h_source.html#l00703">base/logging.h:703</a></div></div>
|
||
|
|
<div class="ttc" id="abase_2logging_8h_html_a7cc25402ecd7591b4c39934dd656b1f9"><div class="ttname"><a href="base_2logging_8h.html#a7cc25402ecd7591b4c39934dd656b1f9">CHECK_GE</a></div><div class="ttdeci">#define CHECK_GE(val1, val2)</div><div class="ttdef"><b>Definition:</b> <a href="base_2logging_8h_source.html#l00707">base/logging.h:707</a></div></div>
|
||
|
|
<div class="ttc" id="abase_2logging_8h_html_a9f96ed9f06763f0821fdbb4d29031d8d"><div class="ttname"><a href="base_2logging_8h.html#a9f96ed9f06763f0821fdbb4d29031d8d">CHECK_OK</a></div><div class="ttdeci">#define CHECK_OK(x)</div><div class="ttdef"><b>Definition:</b> <a href="base_2logging_8h_source.html#l00044">base/logging.h:44</a></div></div>
|
||
|
|
<div class="ttc" id="abase_2logging_8h_html_ab62f5ed8f2d48e29802be0cbbcd1359a"><div class="ttname"><a href="base_2logging_8h.html#ab62f5ed8f2d48e29802be0cbbcd1359a">DCHECK_LT</a></div><div class="ttdeci">#define DCHECK_LT(val1, val2)</div><div class="ttdef"><b>Definition:</b> <a href="base_2logging_8h_source.html#l00894">base/logging.h:894</a></div></div>
|
||
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|
<div class="ttc" id="abase_2logging_8h_html_accad43a85d781d53381cd53a9894b6ae"><div class="ttname"><a href="base_2logging_8h.html#accad43a85d781d53381cd53a9894b6ae">LOG</a></div><div class="ttdeci">#define LOG(severity)</div><div class="ttdef"><b>Definition:</b> <a href="base_2logging_8h_source.html#l00420">base/logging.h:420</a></div></div>
|
||
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|
<div class="ttc" id="abase_2logging_8h_html_ae4db23f10f5d4aad6d735f5a74cd6f8c"><div class="ttname"><a href="base_2logging_8h.html#ae4db23f10f5d4aad6d735f5a74cd6f8c">CHECK_LE</a></div><div class="ttdeci">#define CHECK_LE(val1, val2)</div><div class="ttdef"><b>Definition:</b> <a href="base_2logging_8h_source.html#l00705">base/logging.h:705</a></div></div>
|
||
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<div class="ttc" id="abase_2logging_8h_html_afcaa7cadd41741bb855c2ada1d2ef927"><div class="ttname"><a href="base_2logging_8h.html#afcaa7cadd41741bb855c2ada1d2ef927">VLOG</a></div><div class="ttdeci">#define VLOG(verboselevel)</div><div class="ttdef"><b>Definition:</b> <a href="base_2logging_8h_source.html#l00984">base/logging.h:984</a></div></div>
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<div class="ttc" id="abase_2status__macros_8h_html"><div class="ttname"><a href="base_2status__macros_8h.html">status_macros.h</a></div></div>
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<div class="ttc" id="abase_2status__macros_8h_html_a600de4b8f65fe0a4b1898041634f9011"><div class="ttname"><a href="base_2status__macros_8h.html#a600de4b8f65fe0a4b1898041634f9011">ASSIGN_OR_RETURN</a></div><div class="ttdeci">#define ASSIGN_OR_RETURN(lhs, rexpr)</div><div class="ttdef"><b>Definition:</b> <a href="base_2status__macros_8h_source.html#l00046">base/status_macros.h:46</a></div></div>
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<div class="ttc" id="abase_2status__macros_8h_html_acdc223d8c59d5c591dc6b4e88257627b"><div class="ttname"><a href="base_2status__macros_8h.html#acdc223d8c59d5c591dc6b4e88257627b">RETURN_IF_ERROR</a></div><div class="ttdeci">#define RETURN_IF_ERROR(expr)</div><div class="ttdef"><b>Definition:</b> <a href="base_2status__macros_8h_source.html#l00027">base/status_macros.h:27</a></div></div>
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<div class="ttc" id="acallback__validator_8h_html"><div class="ttname"><a href="callback__validator_8h.html">callback_validator.h</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1math__opt_1_1_glpk_solver_html"><div class="ttname"><a href="classoperations__research_1_1math__opt_1_1_glpk_solver.html">operations_research::math_opt::GlpkSolver</a></div><div class="ttdef"><b>Definition:</b> <a href="glpk__solver_8h_source.html#l00042">glpk_solver.h:42</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1math__opt_1_1_glpk_solver_html_a1dcbb1374e91747a2db097361b091c8b"><div class="ttname"><a href="classoperations__research_1_1math__opt_1_1_glpk_solver.html#a1dcbb1374e91747a2db097361b091c8b">operations_research::math_opt::GlpkSolver::CanUpdate</a></div><div class="ttdeci">bool CanUpdate(const ModelUpdateProto &model_update) override</div><div class="ttdef"><b>Definition:</b> <a href="glpk__solver_8cc_source.html#l01737">glpk_solver.cc:1737</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1math__opt_1_1_glpk_solver_html_a4dc835d3171da48778de1bbea39f8448"><div class="ttname"><a href="classoperations__research_1_1math__opt_1_1_glpk_solver.html#a4dc835d3171da48778de1bbea39f8448">operations_research::math_opt::GlpkSolver::Update</a></div><div class="ttdeci">absl::Status Update(const ModelUpdateProto &model_update) override</div><div class="ttdef"><b>Definition:</b> <a href="glpk__solver_8cc_source.html#l01651">glpk_solver.cc:1651</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1math__opt_1_1_glpk_solver_html_a61ac0bc6afed786de631c4a91faeb866"><div class="ttname"><a href="classoperations__research_1_1math__opt_1_1_glpk_solver.html#a61ac0bc6afed786de631c4a91faeb866">operations_research::math_opt::GlpkSolver::New</a></div><div class="ttdeci">static absl::StatusOr< std::unique_ptr< SolverInterface > > New(const ModelProto &model, const InitArgs &init_args)</div><div class="ttdef"><b>Definition:</b> <a href="glpk__solver_8cc_source.html#l00844">glpk_solver.cc:844</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1math__opt_1_1_glpk_solver_html_a76b75fc352b0c95032a58aa7600a47f4"><div class="ttname"><a href="classoperations__research_1_1math__opt_1_1_glpk_solver.html#a76b75fc352b0c95032a58aa7600a47f4">operations_research::math_opt::GlpkSolver::~GlpkSolver</a></div><div class="ttdeci">~GlpkSolver() override</div><div class="ttdef"><b>Definition:</b> <a href="glpk__solver_8cc_source.html#l00881">glpk_solver.cc:881</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1math__opt_1_1_glpk_solver_html_a7875bc8ab28e1cf6cefc688d7b70ac7e"><div class="ttname"><a href="classoperations__research_1_1math__opt_1_1_glpk_solver.html#a7875bc8ab28e1cf6cefc688d7b70ac7e">operations_research::math_opt::GlpkSolver::Solve</a></div><div class="ttdeci">absl::StatusOr< SolveResultProto > Solve(const SolveParametersProto &parameters, const ModelSolveParametersProto &model_parameters, MessageCallback message_cb, const CallbackRegistrationProto &callback_registration, Callback cb, SolveInterrupter *interrupter) override</div><div class="ttdef"><b>Definition:</b> <a href="glpk__solver_8cc_source.html#l01006">glpk_solver.cc:1006</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1math__opt_1_1_solve_interrupter_html"><div class="ttname"><a href="classoperations__research_1_1math__opt_1_1_solve_interrupter.html">operations_research::math_opt::SolveInterrupter</a></div><div class="ttdef"><b>Definition:</b> <a href="solve__interrupter_8h_source.html#l00039">solve_interrupter.h:39</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1math__opt_1_1_solver_interface_html_aad3360b1947c772bebf3d3cfb2105a15"><div class="ttname"><a href="classoperations__research_1_1math__opt_1_1_solver_interface.html#aad3360b1947c772bebf3d3cfb2105a15">operations_research::math_opt::SolverInterface::MessageCallback</a></div><div class="ttdeci">std::function< void(const std::vector< std::string > &)> MessageCallback</div><div class="ttdef"><b>Definition:</b> <a href="solver__interface_8h_source.html#l00075">solver_interface.h:75</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1math__opt_1_1_solver_interface_html_ab47a61ca53ae9cdf35dd4f2dfc9ecadb"><div class="ttname"><a href="classoperations__research_1_1math__opt_1_1_solver_interface.html#ab47a61ca53ae9cdf35dd4f2dfc9ecadb">operations_research::math_opt::SolverInterface::Callback</a></div><div class="ttdeci">std::function< absl::StatusOr< CallbackResultProto >(const CallbackDataProto &)> Callback</div><div class="ttdef"><b>Definition:</b> <a href="solver__interface_8h_source.html#l00083">solver_interface.h:84</a></div></div>
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<div class="ttc" id="acleanup_8h_html"><div class="ttname"><a href="cleanup_8h.html">cleanup.h</a></div></div>
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<div class="ttc" id="acp__model__fz__solver_8cc_html_a10a1eab179b472c030bdc2a2efef7219"><div class="ttname"><a href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a></div><div class="ttdeci">SatParameters parameters</div><div class="ttdef"><b>Definition:</b> <a href="cp__model__fz__solver_8cc_source.html#l00119">cp_model_fz_solver.cc:119</a></div></div>
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<div class="ttc" id="acp__model__solver_8cc_html_a06dad0852d85b0686e01c084207c03a7"><div class="ttname"><a href="cp__model__solver_8cc.html#a06dad0852d85b0686e01c084207c03a7">bounds</a></div><div class="ttdeci">SharedBoundsManager * bounds</div><div class="ttdef"><b>Definition:</b> <a href="cp__model__solver_8cc_source.html#l02051">cp_model_solver.cc:2051</a></div></div>
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<div class="ttc" id="ademon__profiler_8cc_html_ac072af30c4ffbc834bb4c681f6ecb514"><div class="ttname"><a href="demon__profiler_8cc.html#ac072af30c4ffbc834bb4c681f6ecb514">value</a></div><div class="ttdeci">int64_t value</div><div class="ttdef"><b>Definition:</b> <a href="demon__profiler_8cc_source.html#l00044">demon_profiler.cc:44</a></div></div>
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<div class="ttc" id="ag__gurobi_8cc_html_a2237393c7ae7ad7344c9885066d5ab6d"><div class="ttname"><a href="g__gurobi_8cc.html#a2237393c7ae7ad7344c9885066d5ab6d">status</a></div><div class="ttdeci">absl::Status status</div><div class="ttdef"><b>Definition:</b> <a href="g__gurobi_8cc_source.html#l00035">g_gurobi.cc:35</a></div></div>
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<div class="ttc" id="aglpk__env__deleter_8h_html"><div class="ttname"><a href="glpk__env__deleter_8h.html">glpk_env_deleter.h</a></div></div>
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<div class="ttc" id="aglpk__formatters_8h_html"><div class="ttname"><a href="glpk__formatters_8h.html">glpk_formatters.h</a></div></div>
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<div class="ttc" id="aglpk__solver_8cc_html_abb82b111deb51f3a5917cf8780fee484"><div class="ttname"><a href="glpk__solver_8cc.html#abb82b111deb51f3a5917cf8780fee484">lower</a></div><div class="ttdeci">double lower</div><div class="ttdef"><b>Definition:</b> <a href="glpk__solver_8cc_source.html#l00075">glpk_solver.cc:75</a></div></div>
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<div class="ttc" id="aglpk__solver_8cc_html_ae0e265c074f457e193b30ff0d77c750b"><div class="ttname"><a href="glpk__solver_8cc.html#ae0e265c074f457e193b30ff0d77c750b">upper</a></div><div class="ttdeci">double upper</div><div class="ttdef"><b>Definition:</b> <a href="glpk__solver_8cc_source.html#l00076">glpk_solver.cc:76</a></div></div>
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<div class="ttc" id="aglpk__solver_8h_html"><div class="ttname"><a href="glpk__solver_8h.html">glpk_solver.h</a></div></div>
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<div class="ttc" id="agscip__solver_8cc_html_a1ba5ca0f61f2fa13bd23bf0f89004f35"><div class="ttname"><a href="gscip__solver_8cc.html#a1ba5ca0f61f2fa13bd23bf0f89004f35">upper_bound</a></div><div class="ttdeci">double upper_bound</div><div class="ttdef"><b>Definition:</b> <a href="gscip__solver_8cc_source.html#l00137">gscip_solver.cc:137</a></div></div>
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<div class="ttc" id="agscip__solver_8cc_html_a1e2f9a2352c1d9a6cada9544898fceec"><div class="ttname"><a href="gscip__solver_8cc.html#a1e2f9a2352c1d9a6cada9544898fceec">lower_bound</a></div><div class="ttdeci">double lower_bound</div><div class="ttdef"><b>Definition:</b> <a href="gscip__solver_8cc_source.html#l00136">gscip_solver.cc:136</a></div></div>
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<div class="ttc" id="agscip__solver_8cc_html_a461bf2761c1dc652a0671e5e135b763a"><div class="ttname"><a href="gscip__solver_8cc.html#a461bf2761c1dc652a0671e5e135b763a">variable_ids</a></div><div class="ttdeci">absl::Span< const int64_t > variable_ids</div><div class="ttdef"><b>Definition:</b> <a href="gscip__solver_8cc_source.html#l00139">gscip_solver.cc:139</a></div></div>
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<div class="ttc" id="agurobi__interface_8cc_html_a0728f23c9a47655d38e0bf1a2f200bcf"><div class="ttname"><a href="gurobi__interface_8cc.html#a0728f23c9a47655d38e0bf1a2f200bcf">model</a></div><div class="ttdeci">GRBmodel * model</div><div class="ttdef"><b>Definition:</b> <a href="gurobi__interface_8cc_source.html#l00274">gurobi_interface.cc:274</a></div></div>
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<div class="ttc" id="agurobi__interface_8cc_html_a6627a3800ac768bb5528ef54c9cace36"><div class="ttname"><a href="gurobi__interface_8cc.html#a6627a3800ac768bb5528ef54c9cace36">callback</a></div><div class="ttdeci">MPCallback * callback</div><div class="ttdef"><b>Definition:</b> <a href="gurobi__interface_8cc_source.html#l00515">gurobi_interface.cc:515</a></div></div>
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<div class="ttc" id="ainverted__bounds_8h_html"><div class="ttname"><a href="inverted__bounds_8h.html">inverted_bounds.h</a></div></div>
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<div class="ttc" id="alog__severity_8h_html_acdd38e3c9f22f127d7776920e3079eda"><div class="ttname"><a href="log__severity_8h.html#acdd38e3c9f22f127d7776920e3079eda">FATAL</a></div><div class="ttdeci">const int FATAL</div><div class="ttdef"><b>Definition:</b> <a href="log__severity_8h_source.html#l00032">log_severity.h:32</a></div></div>
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<div class="ttc" id="amath__opt__proto__utils_8h_html"><div class="ttname"><a href="math__opt__proto__utils_8h.html">math_opt_proto_utils.h</a></div></div>
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<div class="ttc" id="amessage__callback__data_8h_html"><div class="ttname"><a href="message__callback__data_8h.html">message_callback_data.h</a></div></div>
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<div class="ttc" id="anamespaceabsl_html_a01547ab811df98c71089487f394ec259"><div class="ttname"><a href="namespaceabsl.html#a01547ab811df98c71089487f394ec259">absl::MakeCleanup</a></div><div class="ttdeci">absl::Cleanup< absl::decay_t< Callback > > MakeCleanup(Callback &&callback)</div><div class="ttdef"><b>Definition:</b> <a href="cleanup_8h_source.html#l00125">cleanup.h:125</a></div></div>
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<div class="ttc" id="anamespaceoperations__research_1_1math__opt_html"><div class="ttname"><a href="namespaceoperations__research_1_1math__opt.html">operations_research::math_opt</a></div><div class="ttdef"><b>Definition:</b> <a href="arrow__operator__proxy_8h_source.html#l00020">arrow_operator_proxy.h:20</a></div></div>
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<div class="ttc" id="anamespaceoperations__research_1_1math__opt_html_a088b744cfba782a3dd913f24b636edac"><div class="ttname"><a href="namespaceoperations__research_1_1math__opt.html#a088b744cfba782a3dd913f24b636edac">operations_research::math_opt::FirstLinearConstraintId</a></div><div class="ttdeci">std::optional< int64_t > FirstLinearConstraintId(const LinearConstraintsProto &linear_constraints)</div><div class="ttdef"><b>Definition:</b> <a href="math__opt__proto__utils_8h_source.html#l00053">math_opt_proto_utils.h:53</a></div></div>
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<div class="ttc" id="anamespaceoperations__research_1_1math__opt_html_a0c2a048ffad95d109485f661fcba75d2"><div class="ttname"><a href="namespaceoperations__research_1_1math__opt.html#a0c2a048ffad95d109485f661fcba75d2">operations_research::math_opt::FeasibleTermination</a></div><div class="ttdeci">TerminationProto FeasibleTermination(const LimitProto limit, const absl::string_view detail)</div><div class="ttdef"><b>Definition:</b> <a href="math__opt__proto__utils_8cc_source.html#l00094">math_opt_proto_utils.cc:94</a></div></div>
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<div class="ttc" id="anamespaceoperations__research_1_1math__opt_html_a0d2106bc8a55ecfe52d502eee346b62a"><div class="ttname"><a href="namespaceoperations__research_1_1math__opt.html#a0d2106bc8a55ecfe52d502eee346b62a">operations_research::math_opt::CheckRegisteredCallbackEvents</a></div><div class="ttdeci">absl::Status CheckRegisteredCallbackEvents(const CallbackRegistrationProto &registration, const absl::flat_hash_set< CallbackEventProto > &supported_events)</div><div class="ttdef"><b>Definition:</b> <a href="callback__validator_8cc_source.html#l00299">callback_validator.cc:299</a></div></div>
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<div class="ttc" id="anamespaceoperations__research_1_1math__opt_html_a132f7f9e7f159f70ae154dde62b54efb"><div class="ttname"><a href="namespaceoperations__research_1_1math__opt.html#a132f7f9e7f159f70ae154dde62b54efb">operations_research::math_opt::TransposeSparseSubmatrix</a></div><div class="ttdeci">std::vector< std::pair< int64_t, SparseVector< double > > > TransposeSparseSubmatrix(const SparseSubmatrixRowsView &submatrix_by_rows)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__submatrix_8cc_source.html#l00107">sparse_submatrix.cc:107</a></div></div>
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<div class="ttc" id="anamespaceoperations__research_1_1math__opt_html_a174eb56fe2f478a51da5bad317555b83"><div class="ttname"><a href="namespaceoperations__research_1_1math__opt.html#a174eb56fe2f478a51da5bad317555b83">operations_research::math_opt::MATH_OPT_REGISTER_SOLVER</a></div><div class="ttdeci">MATH_OPT_REGISTER_SOLVER(SOLVER_TYPE_CP_SAT, CpSatSolver::New)</div></div>
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<div class="ttc" id="anamespaceoperations__research_1_1math__opt_html_a668d06f7223ec6ee9864205f1287bc80"><div class="ttname"><a href="namespaceoperations__research_1_1math__opt.html#a668d06f7223ec6ee9864205f1287bc80">operations_research::math_opt::TerminateForLimit</a></div><div class="ttdeci">TerminationProto TerminateForLimit(const LimitProto limit, const bool feasible, const absl::string_view detail)</div><div class="ttdef"><b>Definition:</b> <a href="math__opt__proto__utils_8cc_source.html#l00079">math_opt_proto_utils.cc:79</a></div></div>
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<div class="ttc" id="anamespaceoperations__research_1_1math__opt_html_a73f32c619b1fc9c62bcd6c6b9123bb61"><div class="ttname"><a href="namespaceoperations__research_1_1math__opt.html#a73f32c619b1fc9c62bcd6c6b9123bb61">operations_research::math_opt::SparseSubmatrixByRows</a></div><div class="ttdeci">SparseSubmatrixRowsView SparseSubmatrixByRows(const SparseDoubleMatrixProto &matrix, const int64_t start_row_id, const std::optional< int64_t > end_row_id, const int64_t start_col_id, const std::optional< int64_t > end_col_id)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__submatrix_8cc_source.html#l00046">sparse_submatrix.cc:46</a></div></div>
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<div class="ttc" id="anamespaceoperations__research_1_1math__opt_html_a80e158d48db32a3bbbe915179b36e405"><div class="ttname"><a href="namespaceoperations__research_1_1math__opt.html#a80e158d48db32a3bbbe915179b36e405">operations_research::math_opt::MakeView</a></div><div class="ttdeci">SparseVectorView< T > MakeView(absl::Span< const int64_t > ids, const Collection &values)</div><div class="ttdef"><b>Definition:</b> <a href="sparse__vector__view_8h_source.html#l00144">sparse_vector_view.h:144</a></div></div>
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<div class="ttc" id="anamespaceoperations__research_1_1math__opt_html_a83a0991912b16a906577438e2e3479c6"><div class="ttname"><a href="namespaceoperations__research_1_1math__opt.html#a83a0991912b16a906577438e2e3479c6">operations_research::math_opt::NoSolutionFoundTermination</a></div><div class="ttdeci">TerminationProto NoSolutionFoundTermination(const LimitProto limit, const absl::string_view detail)</div><div class="ttdef"><b>Definition:</b> <a href="math__opt__proto__utils_8cc_source.html#l00099">math_opt_proto_utils.cc:99</a></div></div>
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<div class="ttc" id="anamespaceoperations__research_1_1math__opt_html_a9d73bc1014f12f33dfaa51825ad668ee"><div class="ttname"><a href="namespaceoperations__research_1_1math__opt.html#a9d73bc1014f12f33dfaa51825ad668ee">operations_research::math_opt::Callback</a></div><div class="ttdeci">std::function< CallbackResult(const CallbackData &)> Callback</div><div class="ttdef"><b>Definition:</b> <a href="callback_8h_source.html#l00089">callback.h:89</a></div></div>
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<div class="ttc" id="anamespaceoperations__research_1_1math__opt_html_aa3bcd3f312f5746e50d53bd5a8dedd2a"><div class="ttname"><a href="namespaceoperations__research_1_1math__opt.html#aa3bcd3f312f5746e50d53bd5a8dedd2a">operations_research::math_opt::GlpkComputeUnboundRay</a></div><div class="ttdeci">absl::StatusOr< std::optional< GlpkRay > > GlpkComputeUnboundRay(glp_prob *const problem)</div><div class="ttdef"><b>Definition:</b> <a href="rays_8cc_source.html#l00351">rays.cc:351</a></div></div>
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<div class="ttc" id="anamespaceoperations__research_1_1math__opt_html_aaaafdf52dd4d552e04d416daeadbd81f"><div class="ttname"><a href="namespaceoperations__research_1_1math__opt.html#aaaafdf52dd4d552e04d416daeadbd81f">operations_research::math_opt::TerminateForReason</a></div><div class="ttdeci">TerminationProto TerminateForReason(const TerminationReasonProto reason, const absl::string_view detail)</div><div class="ttdef"><b>Definition:</b> <a href="math__opt__proto__utils_8cc_source.html#l00104">math_opt_proto_utils.cc:104</a></div></div>
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<div class="ttc" id="anamespaceoperations__research_1_1math__opt_html_ac9d097a397c4fe057849dbfd724c54ed"><div class="ttname"><a href="namespaceoperations__research_1_1math__opt.html#ac9d097a397c4fe057849dbfd724c54ed">operations_research::math_opt::FirstVariableId</a></div><div class="ttdeci">std::optional< int64_t > FirstVariableId(const VariablesProto &variables)</div><div class="ttdef"><b>Definition:</b> <a href="math__opt__proto__utils_8h_source.html#l00046">math_opt_proto_utils.h:46</a></div></div>
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<div class="ttc" id="anamespaceoperations__research_1_1math__opt_html_ad6ffe3747921431333fa443d04f0dcd7a168c8e12a7f30e09240e40ae392f3c1e"><div class="ttname"><a href="namespaceoperations__research_1_1math__opt.html#ad6ffe3747921431333fa443d04f0dcd7a168c8e12a7f30e09240e40ae392f3c1e">operations_research::math_opt::kPrimal</a></div><div class="ttdeci">@ kPrimal</div><div class="ttdef"><b>Definition:</b> <a href="rays_8h_source.html#l00039">rays.h:39</a></div></div>
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<div class="ttc" id="anamespaceoperations__research_1_1math__opt_html_ad6ffe3747921431333fa443d04f0dcd7a853ead83f7e75b38bba794318254dc91"><div class="ttname"><a href="namespaceoperations__research_1_1math__opt.html#ad6ffe3747921431333fa443d04f0dcd7a853ead83f7e75b38bba794318254dc91">operations_research::math_opt::kDual</a></div><div class="ttdeci">@ kDual</div><div class="ttdef"><b>Definition:</b> <a href="rays_8h_source.html#l00046">rays.h:46</a></div></div>
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<div class="ttc" id="anamespaceoperations__research_1_1math__opt_html_ad9f50c9313b35cc1e8887057dc4d9645"><div class="ttname"><a href="namespaceoperations__research_1_1math__opt.html#ad9f50c9313b35cc1e8887057dc4d9645">operations_research::math_opt::kInf</a></div><div class="ttdeci">constexpr double kInf</div><div class="ttdef"><b>Definition:</b> <a href="variable__and__expressions_8cc_source.html#l00029">variable_and_expressions.cc:29</a></div></div>
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<div class="ttc" id="anamespaceoperations__research_html"><div class="ttname"><a href="namespaceoperations__research.html">operations_research</a></div><div class="ttdoc">Collection of objects used to extend the Constraint Solver library.</div><div class="ttdef"><b>Definition:</b> <a href="dense__doubly__linked__list_8h_source.html#l00021">dense_doubly_linked_list.h:21</a></div></div>
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<div class="ttc" id="anamespaceoperations__research_html_a760c8bbae2698a370004ceaaba9d9920"><div class="ttname"><a href="namespaceoperations__research.html#a760c8bbae2698a370004ceaaba9d9920">operations_research::ProtoEnumToString</a></div><div class="ttdeci">std::string ProtoEnumToString(ProtoEnumType enum_value)</div><div class="ttdef"><b>Definition:</b> <a href="port_2proto__utils_8h_source.html#l00047">port/proto_utils.h:47</a></div></div>
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<div class="ttc" id="anamespaceoperations__research_html_a90d45f14d9a74cb49094695918d444d8"><div class="ttname"><a href="namespaceoperations__research.html#a90d45f14d9a74cb49094695918d444d8">operations_research::ReturnCodeString</a></div><div class="ttdeci">std::string ReturnCodeString(const int rc)</div><div class="ttdef"><b>Definition:</b> <a href="glpk__formatters_8cc_source.html#l00065">glpk_formatters.cc:65</a></div></div>
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<div class="ttc" id="anamespaceoperations__research_html_a934d1283f015d3a37d13a611d1be3725"><div class="ttname"><a href="namespaceoperations__research.html#a934d1283f015d3a37d13a611d1be3725">operations_research::SolutionStatusString</a></div><div class="ttdeci">std::string SolutionStatusString(const int status)</div><div class="ttdef"><b>Definition:</b> <a href="glpk__formatters_8cc_source.html#l00029">glpk_formatters.cc:29</a></div></div>
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<div class="ttc" id="anamespaceoperations__research_html_abf51c853d314713db5429bcdb29c540d"><div class="ttname"><a href="namespaceoperations__research.html#abf51c853d314713db5429bcdb29c540d">operations_research::TruncateAndQuoteGLPKName</a></div><div class="ttdeci">std::string TruncateAndQuoteGLPKName(const std::string_view original_name)</div><div class="ttdef"><b>Definition:</b> <a href="glpk__formatters_8cc_source.html#l00110">glpk_formatters.cc:110</a></div></div>
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<div class="ttc" id="anamespaceoperations__research_html_afa0e53e4462391903db0d0c77f8cecd0"><div class="ttname"><a href="namespaceoperations__research.html#afa0e53e4462391903db0d0c77f8cecd0">operations_research::SetupGlpkEnvAutomaticDeletion</a></div><div class="ttdeci">void SetupGlpkEnvAutomaticDeletion()</div><div class="ttdef"><b>Definition:</b> <a href="glpk__env__deleter_8cc_source.html#l00035">glpk_env_deleter.cc:35</a></div></div>
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<div class="ttc" id="anamespacestd_html"><div class="ttname"><a href="namespacestd.html">std</a></div><div class="ttdoc">STL namespace.</div></div>
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<div class="ttc" id="anamespaceutil__time_html_a801584734c5b3898f94cf932202b2eb7"><div class="ttname"><a href="namespaceutil__time.html#a801584734c5b3898f94cf932202b2eb7">util_time::DecodeGoogleApiProto</a></div><div class="ttdeci">inline ::absl::StatusOr< absl::Duration > DecodeGoogleApiProto(const google::protobuf::Duration &proto)</div><div class="ttdef"><b>Definition:</b> <a href="protoutil_8h_source.html#l00042">protoutil.h:42</a></div></div>
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<div class="ttc" id="anamespaceutil__time_html_a9b705fc0063004954faa62e54450d4fc"><div class="ttname"><a href="namespaceutil__time.html#a9b705fc0063004954faa62e54450d4fc">util_time::EncodeGoogleApiProto</a></div><div class="ttdeci">inline ::absl::StatusOr< google::protobuf::Duration > EncodeGoogleApiProto(absl::Duration d)</div><div class="ttdef"><b>Definition:</b> <a href="protoutil_8h_source.html#l00027">protoutil.h:27</a></div></div>
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<div class="ttc" id="anamespaceutil_html_a302ee4bfcb86ea9ed64a193ed0b14648"><div class="ttname"><a href="namespaceutil.html#a302ee4bfcb86ea9ed64a193ed0b14648">util::InternalErrorBuilder</a></div><div class="ttdeci">StatusBuilder InternalErrorBuilder()</div><div class="ttdef"><b>Definition:</b> <a href="status__builder_8h_source.html#l00084">status_builder.h:84</a></div></div>
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<div class="ttc" id="aport_2proto__utils_8h_html"><div class="ttname"><a href="port_2proto__utils_8h.html">proto_utils.h</a></div></div>
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<div class="ttc" id="aprotoutil_8h_html"><div class="ttname"><a href="protoutil_8h.html">protoutil.h</a></div></div>
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<div class="ttc" id="arays_8h_html"><div class="ttname"><a href="rays_8h.html">rays.h</a></div></div>
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<div class="ttc" id="arouting__filters_8cc_html_a8e4ee19dee0e00541dbe9bbc83d806ba"><div class="ttname"><a href="routing__filters_8cc.html#a8e4ee19dee0e00541dbe9bbc83d806ba">coefficient</a></div><div class="ttdeci">int64_t coefficient</div><div class="ttdef"><b>Definition:</b> <a href="routing__filters_8cc_source.html#l00969">routing_filters.cc:969</a></div></div>
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<div class="ttc" id="asat_2lp__utils_8cc_html_a561d7bf12fc7674b3fe0ad2ba2e175a0"><div class="ttname"><a href="sat_2lp__utils_8cc.html#a561d7bf12fc7674b3fe0ad2ba2e175a0">lower_bounds</a></div><div class="ttdeci">std::vector< double > lower_bounds</div><div class="ttdef"><b>Definition:</b> <a href="sat_2lp__utils_8cc_source.html#l00606">sat/lp_utils.cc:606</a></div></div>
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<div class="ttc" id="asat_2lp__utils_8cc_html_a88215c8581662c40eec0fb8621c44af3"><div class="ttname"><a href="sat_2lp__utils_8cc.html#a88215c8581662c40eec0fb8621c44af3">upper_bounds</a></div><div class="ttdeci">std::vector< double > upper_bounds</div><div class="ttdef"><b>Definition:</b> <a href="sat_2lp__utils_8cc_source.html#l00607">sat/lp_utils.cc:607</a></div></div>
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<div class="ttc" id="asolve__interrupter_8h_html"><div class="ttname"><a href="solve__interrupter_8h.html">solve_interrupter.h</a></div></div>
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<div class="ttc" id="asolver__interface_8h_html"><div class="ttname"><a href="solver__interface_8h.html">solver_interface.h</a></div></div>
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<div class="ttc" id="asparse__submatrix_8cc_html_a9b7656b922ea4ec96097d7380c0e61fe"><div class="ttname"><a href="sparse__submatrix_8cc.html#a9b7656b922ea4ec96097d7380c0e61fe">start</a></div><div class="ttdeci">int64_t start</div><div class="ttdef"><b>Definition:</b> <a href="sparse__submatrix_8cc_source.html#l00035">sparse_submatrix.cc:35</a></div></div>
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<div class="ttc" id="asparse__submatrix_8h_html"><div class="ttname"><a href="sparse__submatrix_8h.html">sparse_submatrix.h</a></div></div>
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<div class="ttc" id="asparse__vector__view_8h_html"><div class="ttname"><a href="sparse__vector__view_8h.html">sparse_vector_view.h</a></div></div>
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<div class="ttc" id="astructoperations__research_1_1math__opt_1_1_solver_interface_1_1_init_args_html"><div class="ttname"><a href="structoperations__research_1_1math__opt_1_1_solver_interface_1_1_init_args.html">operations_research::math_opt::SolverInterface::InitArgs</a></div><div class="ttdef"><b>Definition:</b> <a href="solver__interface_8h_source.html#l00062">solver_interface.h:62</a></div></div>
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<div class="ttc" id="atrace_8cc_html_a36bd74109f547f7f8198faf5a12d2879"><div class="ttname"><a href="trace_8cc.html#a36bd74109f547f7f8198faf5a12d2879">message</a></div><div class="ttdeci">std::string message</div><div class="ttdef"><b>Definition:</b> <a href="trace_8cc_source.html#l00398">trace.cc:398</a></div></div>
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<div class="ttc" id="avariable__and__expressions_8cc_html_a2091cd7d80fdd31762020bce86138587"><div class="ttname"><a href="variable__and__expressions_8cc.html#a2091cd7d80fdd31762020bce86138587">coeff</a></div><div class="ttdeci">const double coeff</div><div class="ttdef"><b>Definition:</b> <a href="variable__and__expressions_8cc_source.html#l00105">variable_and_expressions.cc:105</a></div></div>
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