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<div class="title">lp_data.h</div> </div>
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<a href="lp__data_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">// Copyright 2010-2018 Google LLC</span></div>
|
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<div class="line"><a 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 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>
|
||
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">// You may obtain a copy of the License at</span></div>
|
||
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment">//</span></div>
|
||
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment">// http://www.apache.org/licenses/LICENSE-2.0</span></div>
|
||
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment">//</span></div>
|
||
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment">// Unless required by applicable law or agreed to in writing, software</span></div>
|
||
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment">// distributed under the License is distributed on an "AS IS" BASIS,</span></div>
|
||
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment">// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span></div>
|
||
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment">// See the License for the specific language governing permissions and</span></div>
|
||
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment">// limitations under the License.</span></div>
|
||
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>  </div>
|
||
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment">//</span></div>
|
||
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment">// Storage classes for Linear Programs.</span></div>
|
||
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment">//</span></div>
|
||
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment">// LinearProgram stores the complete data for a Linear Program:</span></div>
|
||
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment">// - objective coefficients and offset,</span></div>
|
||
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment">// - cost coefficients,</span></div>
|
||
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment">// - coefficient matrix,</span></div>
|
||
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment">// - bounds for each variable,</span></div>
|
||
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment">// - bounds for each constraint.</span></div>
|
||
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  </div>
|
||
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#ifndef OR_TOOLS_LP_DATA_LP_DATA_H_</span></div>
|
||
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define OR_TOOLS_LP_DATA_LP_DATA_H_</span></div>
|
||
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  </div>
|
||
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include <algorithm></span> <span class="comment">// for max</span></div>
|
||
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include <map></span></div>
|
||
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include <string></span> <span class="comment">// for string</span></div>
|
||
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include <vector></span> <span class="comment">// for vector</span></div>
|
||
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  </div>
|
||
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "absl/container/flat_hash_map.h"</span></div>
|
||
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "absl/container/flat_hash_set.h"</span></div>
|
||
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="hash_8h.html">ortools/base/hash.h</a>"</span></div>
|
||
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="int__type_8h.html">ortools/base/int_type.h</a>"</span></div>
|
||
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include "<a class="code" href="int__type__indexed__vector_8h.html">ortools/base/int_type_indexed_vector.h</a>"</span></div>
|
||
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include "<a class="code" href="base_2logging_8h.html">ortools/base/logging.h</a>"</span> <span class="comment">// for CHECK*</span></div>
|
||
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include "<a class="code" href="macros_8h.html">ortools/base/macros.h</a>"</span> <span class="comment">// for DISALLOW_COPY_AND_ASSIGN, NULL</span></div>
|
||
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#include "<a class="code" href="parameters_8pb_8h.html">ortools/glop/parameters.pb.h</a>"</span></div>
|
||
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="preprocessor">#include "<a class="code" href="lp__types_8h.html">ortools/lp_data/lp_types.h</a>"</span></div>
|
||
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="preprocessor">#include "<a class="code" href="sparse_8h.html">ortools/lp_data/sparse.h</a>"</span></div>
|
||
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="preprocessor">#include "<a class="code" href="fp__utils_8h.html">ortools/util/fp_utils.h</a>"</span></div>
|
||
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  </div>
|
||
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="keyword">namespace </span><a class="code" href="namespaceoperations__research.html">operations_research</a> {</div>
|
||
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="keyword">namespace </span>glop {</div>
|
||
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  </div>
|
||
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="keyword">class </span>SparseMatrixScaler;</div>
|
||
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  </div>
|
||
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="comment">// The LinearProgram class is used to store a linear problem in a form</span></div>
|
||
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment">// accepted by LPSolver.</span></div>
|
||
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment">//</span></div>
|
||
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment">// In addition to the simple setter functions used to create such problems, the</span></div>
|
||
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment">// class also contains a few more advanced modification functions used primarily</span></div>
|
||
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment">// by preprocessors. A client shouldn't need to use them directly.</span></div>
|
||
<div class="line"><a name="l00055"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1LinearProgram.html"> 55</a></span> <span class="keyword">class </span><a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html">LinearProgram</a> {</div>
|
||
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keyword">public</span>:</div>
|
||
<div class="line"><a name="l00057"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1LinearProgram.html#ac62972ff1b21a037e56530cde67309ab"> 57</a></span>  <span class="keyword">enum class</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#ac62972ff1b21a037e56530cde67309ab">VariableType</a> {</div>
|
||
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="comment">// The variable can take any value between and including its lower and upper</span></div>
|
||
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="comment">// bound.</span></div>
|
||
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#ac62972ff1b21a037e56530cde67309abab1fa9dd3af034b3ef4291579aa673c07">CONTINUOUS</a>,</div>
|
||
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="comment">// The variable must only take integer values.</span></div>
|
||
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#ac62972ff1b21a037e56530cde67309aba5d5cd46919fa987731fb2edefe0f2a0c">INTEGER</a>,</div>
|
||
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="comment">// The variable is implied integer variable i.e. it was continuous variable</span></div>
|
||
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="comment">// in the LP and was detected to take only integer values.</span></div>
|
||
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#ac62972ff1b21a037e56530cde67309abab79968c5beff3baa0791198293518e14">IMPLIED_INTEGER</a></div>
|
||
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  };</div>
|
||
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  </div>
|
||
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#abcea67382d5e095491b022a7aa4291a7">LinearProgram</a>();</div>
|
||
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  </div>
|
||
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="comment">// Clears, i.e. reset the object to its initial value.</span></div>
|
||
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#aa71d36872f416feaa853788a7a7a7ef8">Clear</a>();</div>
|
||
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  </div>
|
||
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="comment">// Name setter and getter.</span></div>
|
||
<div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1LinearProgram.html#a940d484bb6523277e1d2c742f4f534a4"> 74</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a940d484bb6523277e1d2c742f4f534a4">SetName</a>(<span class="keyword">const</span> std::string& <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#ad8227ba86a01f26e4f173cd5e219d5d1">name</a>) { name_ = <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#ad8227ba86a01f26e4f173cd5e219d5d1">name</a>; }</div>
|
||
<div class="line"><a name="l00075"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1LinearProgram.html#ad8227ba86a01f26e4f173cd5e219d5d1"> 75</a></span>  <span class="keyword">const</span> std::string& <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#ad8227ba86a01f26e4f173cd5e219d5d1">name</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> name_; }</div>
|
||
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  </div>
|
||
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="comment">// Creates a new variable and returns its index.</span></div>
|
||
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="comment">// By default, the column bounds will be [0, infinity).</span></div>
|
||
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  ColIndex <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a695ac3d8db5a986f572711f2ef3a6a39">CreateNewVariable</a>();</div>
|
||
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  </div>
|
||
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="comment">// Creates a new slack variable and returns its index. Do not use this method</span></div>
|
||
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="comment">// to create non-slack variables.</span></div>
|
||
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  ColIndex <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a69d82a65001991de390a5acc122573f3">CreateNewSlackVariable</a>(<span class="keywordtype">bool</span> is_integer_slack_variable,</div>
|
||
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> lower_bound,</div>
|
||
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> upper_bound,</div>
|
||
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keyword">const</span> std::string& <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#ad8227ba86a01f26e4f173cd5e219d5d1">name</a>);</div>
|
||
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  </div>
|
||
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="comment">// Creates a new constraint and returns its index.</span></div>
|
||
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="comment">// By default, the constraint bounds will be [0, 0].</span></div>
|
||
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  RowIndex <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#ad9d564651057c77b3f2ca1293134557f">CreateNewConstraint</a>();</div>
|
||
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  </div>
|
||
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="comment">// Same as CreateNewVariable() or CreateNewConstraint() but also assign an</span></div>
|
||
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="comment">// immutable id to the variable or constraint so they can be retrieved later.</span></div>
|
||
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="comment">// By default, the name is also set to this id, but it can be changed later</span></div>
|
||
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="comment">// without changing the id.</span></div>
|
||
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="comment">//</span></div>
|
||
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="comment">// Note that these ids are NOT copied over by the Populate*() functions.</span></div>
|
||
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="comment">//</span></div>
|
||
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="comment">// TODO(user): Move these and the two corresponding hash_table into a new</span></div>
|
||
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="comment">// LinearProgramBuilder class to simplify the code of some functions like</span></div>
|
||
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="comment">// DeleteColumns() here and make the behavior on copy clear? or simply remove</span></div>
|
||
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="comment">// them as it is almost as easy to maintain a hash_table on the client side.</span></div>
|
||
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  ColIndex <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a4e1fb82cbbf024213eae338216bf601e">FindOrCreateVariable</a>(<span class="keyword">const</span> std::string& variable_id);</div>
|
||
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  RowIndex <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a6b50792950c42b62e8bf4ed596aebb27">FindOrCreateConstraint</a>(<span class="keyword">const</span> std::string& constraint_id);</div>
|
||
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  </div>
|
||
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="comment">// Functions to set the name of a variable or constraint. Note that you</span></div>
|
||
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="comment">// won't be able to find those named variables/constraints with</span></div>
|
||
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="comment">// FindOrCreate{Variable|Constraint}().</span></div>
|
||
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="comment">// TODO(user): Add PopulateIdsFromNames() so names added via</span></div>
|
||
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="comment">// Set{Variable|Constraint}Name() can be found.</span></div>
|
||
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#aa3e03ca59f6ecbfa265efac36d89cf3d">SetVariableName</a>(ColIndex <a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>, <span class="keyword">const</span> std::string& <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#ad8227ba86a01f26e4f173cd5e219d5d1">name</a>);</div>
|
||
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#ac097fc8d275b5c13d3646f404c0533d5">SetConstraintName</a>(RowIndex <a class="code" href="markowitz_8cc.html#aea35f36ba98d5bbd8d033382f50c9e52">row</a>, <span class="keyword">const</span> std::string& <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#ad8227ba86a01f26e4f173cd5e219d5d1">name</a>);</div>
|
||
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  </div>
|
||
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="comment">// Set the type of the variable.</span></div>
|
||
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a7ddcdc56f25d075e18d62ddbcd3389b2">SetVariableType</a>(ColIndex <a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>, <a class="code" href="namespaceoperations__research_1_1glop.html#acfc1d5d5139f63d8c733d4562124866a">VariableType</a> type);</div>
|
||
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  </div>
|
||
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="comment">// Returns whether the variable at column col is constrained to be integer.</span></div>
|
||
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#ab4f3103f39bdbb86151baed2347f7b0a">IsVariableInteger</a>(ColIndex <a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>) <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  </div>
|
||
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="comment">// Returns whether the variable at column col must take binary values or not.</span></div>
|
||
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#ab8efe00bb016665606d522a42543cd96">IsVariableBinary</a>(ColIndex <a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>) <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  </div>
|
||
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="comment">// Defines lower and upper bounds for the variable at col. Note that the</span></div>
|
||
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="comment">// bounds may be set to +/- infinity. The variable must have been created</span></div>
|
||
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="comment">// before or this will crash in non-debug mode.</span></div>
|
||
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a0fe7ba825c8c6cd1efdcff6dec631093">SetVariableBounds</a>(ColIndex <a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>, <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> lower_bound,</div>
|
||
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> upper_bound);</div>
|
||
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  </div>
|
||
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="comment">// Defines lower and upper bounds for the constraint at row. Note that the</span></div>
|
||
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="comment">// bounds may be set to +/- infinity. If the constraint wasn't created before,</span></div>
|
||
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="comment">// all the rows from the current GetNumberOfRows() to the given row will be</span></div>
|
||
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="comment">// created with a range [0,0].</span></div>
|
||
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a62b98dec38b6506442f9fc63f1a9b88f">SetConstraintBounds</a>(RowIndex <a class="code" href="markowitz_8cc.html#aea35f36ba98d5bbd8d033382f50c9e52">row</a>, <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> lower_bound,</div>
|
||
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> upper_bound);</div>
|
||
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  </div>
|
||
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="comment">// Defines the coefficient for col / row.</span></div>
|
||
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a2d695f450ae446d5d9c225b991f8d88e">SetCoefficient</a>(RowIndex <a class="code" href="markowitz_8cc.html#aea35f36ba98d5bbd8d033382f50c9e52">row</a>, ColIndex <a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>, <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> <a class="code" href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a>);</div>
|
||
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  </div>
|
||
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="comment">// Defines the objective coefficient of column col.</span></div>
|
||
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="comment">// It is set to 0.0 by default.</span></div>
|
||
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#ab5af7f232cddcd91f70be84c0d398ba9">SetObjectiveCoefficient</a>(ColIndex <a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>, <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> <a class="code" href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a>);</div>
|
||
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  </div>
|
||
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="comment">// Define the objective offset (0.0 by default) and scaling factor (positive</span></div>
|
||
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="comment">// and equal to 1.0 by default). This is mainly used for displaying purpose</span></div>
|
||
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="comment">// and the real objective is factor * (objective + offset).</span></div>
|
||
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a2a29cc40908e09b0c565ceea15b77d89">SetObjectiveOffset</a>(<a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a81334c7ceae9d68a38fe4d4bf0b7794c">objective_offset</a>);</div>
|
||
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a01a5a464aad9b500e5f07b0457520762">SetObjectiveScalingFactor</a>(<a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#adf55bb4fcaab95674f072cb528d426a0">objective_scaling_factor</a>);</div>
|
||
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  </div>
|
||
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="comment">// Defines the optimization direction. When maximize is true (resp. false),</span></div>
|
||
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="comment">// the objective is maximized (resp. minimized). The default is false.</span></div>
|
||
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#ae3201a343d8df987411b55830bff7fa3">SetMaximizationProblem</a>(<span class="keywordtype">bool</span> maximize);</div>
|
||
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  </div>
|
||
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="comment">// Calls CleanUp() on each columns.</span></div>
|
||
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="comment">// That is, removes duplicates, zeros, and orders the coefficients by row.</span></div>
|
||
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#abfc30f91ab75c6f4552003f777672e74">CleanUp</a>();</div>
|
||
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  </div>
|
||
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="comment">// Returns true if all the columns are ordered by rows and contain no</span></div>
|
||
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="comment">// duplicates or zero entries (i.e. if IsCleanedUp() is true for all columns).</span></div>
|
||
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a5e016d204d43b2cc4a2773c25462968a">IsCleanedUp</a>() <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  </div>
|
||
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="comment">// Functions that return the name of a variable or constraint. If the name is</span></div>
|
||
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="comment">// empty, they return a special name that depends on the index.</span></div>
|
||
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  std::string <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a18b017687d9940cc46c92e3937a18882">GetVariableName</a>(ColIndex <a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>) <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  std::string <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a8d7d21abe90edddc22416e5db1db563f">GetConstraintName</a>(RowIndex <a class="code" href="markowitz_8cc.html#aea35f36ba98d5bbd8d033382f50c9e52">row</a>) <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  </div>
|
||
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="comment">// Returns the type of variable.</span></div>
|
||
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#acfc1d5d5139f63d8c733d4562124866a">VariableType</a> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a6b0e95d320fd02517fdd0adaadca3d71">GetVariableType</a>(ColIndex <a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>) <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  </div>
|
||
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="comment">// Returns true (resp. false) when the problem is a maximization</span></div>
|
||
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="comment">// (resp. minimization) problem.</span></div>
|
||
<div class="line"><a name="l00171"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1LinearProgram.html#accdd045ec09206640c2338524da77d23"> 171</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#accdd045ec09206640c2338524da77d23">IsMaximizationProblem</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> maximize_; }</div>
|
||
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  </div>
|
||
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="comment">// Returns the underlying SparseMatrix or its transpose (which may need to be</span></div>
|
||
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="comment">// computed).</span></div>
|
||
<div class="line"><a name="l00175"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1LinearProgram.html#a33b78d7012477c55f395aaf92ca6e9f4"> 175</a></span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1SparseMatrix.html">SparseMatrix</a>& <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a33b78d7012477c55f395aaf92ca6e9f4">GetSparseMatrix</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> matrix_; }</div>
|
||
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1SparseMatrix.html">SparseMatrix</a>& <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a2175025047722705a3af86e54229f9cd">GetTransposeSparseMatrix</a>() <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  </div>
|
||
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="comment">// Some transformations are better done on the transpose representation. These</span></div>
|
||
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="comment">// two functions are here for that. Note that calling the first function and</span></div>
|
||
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="comment">// modifying the matrix does not change the result of any function in this</span></div>
|
||
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="comment">// class until UseTransposeMatrixAsReference() is called. This is because the</span></div>
|
||
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="comment">// transpose matrix is only used by GetTransposeSparseMatrix() and this</span></div>
|
||
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="comment">// function will recompute the whole transpose from the matrix. In particular,</span></div>
|
||
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="comment">// do not call GetTransposeSparseMatrix() while you modify the matrix returned</span></div>
|
||
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="comment">// by GetMutableTransposeSparseMatrix() otherwise all your changes will be</span></div>
|
||
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="comment">// lost.</span></div>
|
||
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="comment">//</span></div>
|
||
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="comment">// IMPORTANT: The matrix dimension cannot change. Otherwise this will cause</span></div>
|
||
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="comment">// problems. This is checked in debug mode when calling</span></div>
|
||
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="comment">// UseTransposeMatrixAsReference().</span></div>
|
||
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <a class="code" href="classoperations__research_1_1glop_1_1SparseMatrix.html">SparseMatrix</a>* <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a007496c4e4962b2fa4d2e996fd7b4cf6">GetMutableTransposeSparseMatrix</a>();</div>
|
||
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a9ac8fe8120fdded43c5fa888bd696d3e">UseTransposeMatrixAsReference</a>();</div>
|
||
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  </div>
|
||
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="comment">// Release the memory used by the transpose matrix.</span></div>
|
||
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a40b46f23f42f169a527de50e016c2096">ClearTransposeMatrix</a>();</div>
|
||
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  </div>
|
||
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="comment">// Gets the underlying SparseColumn with the given index.</span></div>
|
||
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="comment">// This is the same as GetSparseMatrix().column(col);</span></div>
|
||
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1SparseColumn.html">SparseColumn</a>& <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#aeeee0971281f2781c379fce7a64a5049">GetSparseColumn</a>(ColIndex <a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>) <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  </div>
|
||
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="comment">// Gets a pointer to the underlying SparseColumn with the given index.</span></div>
|
||
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <a class="code" href="classoperations__research_1_1glop_1_1SparseColumn.html">SparseColumn</a>* <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a88cc1c4519b043336ce23cdcec5fb0c2">GetMutableSparseColumn</a>(ColIndex <a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>);</div>
|
||
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  </div>
|
||
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="comment">// Returns the number of variables.</span></div>
|
||
<div class="line"><a name="l00205"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1LinearProgram.html#acd8437353d8dc686a75c98b5897dd871"> 205</a></span>  ColIndex <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#acd8437353d8dc686a75c98b5897dd871">num_variables</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> matrix_.<a class="code" href="classoperations__research_1_1glop_1_1SparseMatrix.html#a41741829541d089f1c4d34f190884813">num_cols</a>(); }</div>
|
||
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  </div>
|
||
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="comment">// Returns the number of constraints.</span></div>
|
||
<div class="line"><a name="l00208"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1LinearProgram.html#afda9b9b5e858d0c466d2a6293361004a"> 208</a></span>  RowIndex <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#afda9b9b5e858d0c466d2a6293361004a">num_constraints</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> matrix_.<a class="code" href="classoperations__research_1_1glop_1_1SparseMatrix.html#a960110e64357a3e69162ebf1f71959dd">num_rows</a>(); }</div>
|
||
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  </div>
|
||
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="comment">// Returns the number of entries in the linear program matrix.</span></div>
|
||
<div class="line"><a name="l00211"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1LinearProgram.html#af69d9b7065a8f31604a8134be4307749"> 211</a></span>  EntryIndex <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#af69d9b7065a8f31604a8134be4307749">num_entries</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> matrix_.<a class="code" href="classoperations__research_1_1glop_1_1SparseMatrix.html#af69d9b7065a8f31604a8134be4307749">num_entries</a>(); }</div>
|
||
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  </div>
|
||
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="comment">// Return the lower bounds (resp. upper bounds) of constraints as a column</span></div>
|
||
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="comment">// vector. Note that the bound values may be +/- infinity.</span></div>
|
||
<div class="line"><a name="l00215"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1LinearProgram.html#a4e79763dc85eb10320835bca13697f4d"> 215</a></span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">DenseColumn</a>& <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a4e79763dc85eb10320835bca13697f4d">constraint_lower_bounds</a>()<span class="keyword"> const </span>{</div>
|
||
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keywordflow">return</span> constraint_lower_bounds_;</div>
|
||
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  }</div>
|
||
<div class="line"><a name="l00218"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1LinearProgram.html#aa4e5168f378a3a4e86dcf409faf14937"> 218</a></span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">DenseColumn</a>& <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#aa4e5168f378a3a4e86dcf409faf14937">constraint_upper_bounds</a>()<span class="keyword"> const </span>{</div>
|
||
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keywordflow">return</span> constraint_upper_bounds_;</div>
|
||
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  }</div>
|
||
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  </div>
|
||
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="comment">// Returns the objective coefficients (or cost) of variables as a row vector.</span></div>
|
||
<div class="line"><a name="l00223"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1LinearProgram.html#a5c8255f82269d42db81cc944eff0180f"> 223</a></span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">DenseRow</a>& <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a5c8255f82269d42db81cc944eff0180f">objective_coefficients</a>()<span class="keyword"> const </span>{</div>
|
||
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keywordflow">return</span> objective_coefficients_;</div>
|
||
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  }</div>
|
||
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  </div>
|
||
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="comment">// Return the lower bounds (resp. upper bounds) of variables as a row vector.</span></div>
|
||
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="comment">// Note that the bound values may be +/- infinity.</span></div>
|
||
<div class="line"><a name="l00229"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1LinearProgram.html#a4ba664b00317505a0026d2a38e6dd565"> 229</a></span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">DenseRow</a>& <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a4ba664b00317505a0026d2a38e6dd565">variable_lower_bounds</a>()<span class="keyword"> const </span>{</div>
|
||
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keywordflow">return</span> variable_lower_bounds_;</div>
|
||
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  }</div>
|
||
<div class="line"><a name="l00232"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1LinearProgram.html#acd138469679be137d0de53459b1342cb"> 232</a></span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">DenseRow</a>& <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#acd138469679be137d0de53459b1342cb">variable_upper_bounds</a>()<span class="keyword"> const </span>{</div>
|
||
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keywordflow">return</span> variable_upper_bounds_;</div>
|
||
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  }</div>
|
||
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  </div>
|
||
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="comment">// Returns a row vector of VariableType representing types of variables.</span></div>
|
||
<div class="line"><a name="l00237"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1LinearProgram.html#aec4f9f0e8674e2b692176f599086d721"> 237</a></span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">StrictITIVector<ColIndex, VariableType></a> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#aec4f9f0e8674e2b692176f599086d721">variable_types</a>()<span class="keyword"> const </span>{</div>
|
||
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keywordflow">return</span> variable_types_;</div>
|
||
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  }</div>
|
||
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  </div>
|
||
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="comment">// Returns a list (technically a vector) of the ColIndices of the integer</span></div>
|
||
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="comment">// variables. This vector is lazily computed.</span></div>
|
||
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="keyword">const</span> std::vector<ColIndex>& <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a609bcb18cec39c7c43dd7a6d3a51ba81">IntegerVariablesList</a>() <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  </div>
|
||
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="comment">// Returns a list (technically a vector) of the ColIndices of the binary</span></div>
|
||
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="comment">// integer variables. This vector is lazily computed.</span></div>
|
||
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keyword">const</span> std::vector<ColIndex>& <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a5b58cfd45475bfab5ce1fe5c81b6da60">BinaryVariablesList</a>() <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  </div>
|
||
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="comment">// Returns a list (technically a vector) of the ColIndices of the non-binary</span></div>
|
||
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="comment">// integer variables. This vector is lazily computed.</span></div>
|
||
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keyword">const</span> std::vector<ColIndex>& <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a814307860c1248b645ea68a8a11a0082">NonBinaryVariablesList</a>() <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  </div>
|
||
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="comment">// Returns the objective coefficient (or cost) of the given variable for the</span></div>
|
||
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="comment">// minimization version of the problem. That is, this is the same as</span></div>
|
||
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="comment">// GetObjectiveCoefficient() for a minimization problem and the opposite for a</span></div>
|
||
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="comment">// maximization problem.</span></div>
|
||
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a6137c2df856cf2634f9bb259d2aace2b">GetObjectiveCoefficientForMinimizationVersion</a>(ColIndex <a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>) <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  </div>
|
||
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="comment">// Returns the objective offset and scaling factor.</span></div>
|
||
<div class="line"><a name="l00260"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1LinearProgram.html#a81334c7ceae9d68a38fe4d4bf0b7794c"> 260</a></span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a81334c7ceae9d68a38fe4d4bf0b7794c">objective_offset</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> objective_offset_; }</div>
|
||
<div class="line"><a name="l00261"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1LinearProgram.html#adf55bb4fcaab95674f072cb528d426a0"> 261</a></span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#adf55bb4fcaab95674f072cb528d426a0">objective_scaling_factor</a>()<span class="keyword"> const </span>{</div>
|
||
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keywordflow">return</span> objective_scaling_factor_;</div>
|
||
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  }</div>
|
||
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  </div>
|
||
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="comment">// Checks if each variable respects its bounds, nothing else.</span></div>
|
||
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a23e637a2ad0316932c194e38f8e5f5f6">SolutionIsWithinVariableBounds</a>(<span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">DenseRow</a>& solution,</div>
|
||
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> absolute_tolerance) <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  </div>
|
||
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="comment">// Tests if the solution is LP-feasible within the given tolerance,</span></div>
|
||
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="comment">// i.e., satisfies all linear constraints within the absolute tolerance level.</span></div>
|
||
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="comment">// The solution does not need to satisfy the integer constraints.</span></div>
|
||
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#aa8fbdc130ccf992a392b066fe625443e">SolutionIsLPFeasible</a>(<span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">DenseRow</a>& solution,</div>
|
||
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> absolute_tolerance) <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  </div>
|
||
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="comment">// Tests if the solution is integer within the given tolerance, i.e., all</span></div>
|
||
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="comment">// integer variables have integer values within the absolute tolerance level.</span></div>
|
||
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="comment">// The solution does not need to satisfy the linear constraints.</span></div>
|
||
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a887289f2d9928ca7a603fee5b77df258">SolutionIsInteger</a>(<span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">DenseRow</a>& solution,</div>
|
||
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> absolute_tolerance) <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  </div>
|
||
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="comment">// Tests if the solution is both LP-feasible and integer within the tolerance.</span></div>
|
||
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a2c97213019318c99fd9d01658803d12f">SolutionIsMIPFeasible</a>(<span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">DenseRow</a>& solution,</div>
|
||
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> absolute_tolerance) <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  </div>
|
||
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="comment">// Fills the value of the slack from the other variable values.</span></div>
|
||
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="comment">// This requires that the slack have been added.</span></div>
|
||
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#aa779a5d1f677630f42a48e1fdaadb1a8">ComputeSlackVariableValues</a>(<a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">DenseRow</a>* solution) <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  </div>
|
||
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="comment">// Functions to translate the sum(solution * objective_coefficients()) to</span></div>
|
||
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="comment">// the real objective of the problem and back. Note that these can also</span></div>
|
||
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="comment">// be used to translate bounds of the objective in the same way.</span></div>
|
||
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#ac1e28fcd73435981deb42946a3e38046">ApplyObjectiveScalingAndOffset</a>(<a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> <a class="code" href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a>) <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a5d1b2b60ac8335834e40084ea545cc0d">RemoveObjectiveScalingAndOffset</a>(<a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> <a class="code" href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a>) <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  </div>
|
||
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="comment">// A short string with the problem dimension.</span></div>
|
||
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  std::string <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#adcc58612f6a1dc35ff3ffdb34188f299">GetDimensionString</a>() <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  </div>
|
||
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="comment">// A short line with some stats on the objective coefficients.</span></div>
|
||
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  std::string <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a009204d0a4a7bb8252d86dd53733cacc">GetObjectiveStatsString</a>() <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  </div>
|
||
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="comment">// Returns a stringified LinearProgram. We use the LP file format used by</span></div>
|
||
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="comment">// lp_solve (see http://lpsolve.sourceforge.net/5.1/index.htm).</span></div>
|
||
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  std::string <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#ab4a8456683d4572bd9426efab8489e99">Dump</a>() <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  </div>
|
||
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <span class="comment">// Returns a string that contains the provided solution of the LP in the</span></div>
|
||
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="comment">// format var1 = X, var2 = Y, var3 = Z, ...</span></div>
|
||
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  std::string <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a476f0627b588f945d6b14b9f08457ba9">DumpSolution</a>(<span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">DenseRow</a>& variable_values) <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  </div>
|
||
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="comment">// Returns a comma-separated string of integers containing (in that order)</span></div>
|
||
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="comment">// num_constraints_, num_variables_in_file_, num_entries_,</span></div>
|
||
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="comment">// num_objective_non_zeros_, num_rhs_non_zeros_, num_less_than_constraints_,</span></div>
|
||
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="comment">// num_greater_than_constraints_, num_equal_constraints_,</span></div>
|
||
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="comment">// num_range_constraints_, num_non_negative_variables_, num_boxed_variables_,</span></div>
|
||
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="comment">// num_free_variables_, num_fixed_variables_, num_other_variables_</span></div>
|
||
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="comment">// Very useful for reporting in the way used in journal articles.</span></div>
|
||
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  std::string <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#acd7098e54f25e34f6626efd354cb7608">GetProblemStats</a>() <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  </div>
|
||
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="comment">// Returns a string containing the same information as with GetProblemStats(),</span></div>
|
||
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="comment">// but in a much more human-readable form, for example:</span></div>
|
||
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="comment">// Number of rows : 27</span></div>
|
||
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <span class="comment">// Number of variables in file : 32</span></div>
|
||
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="comment">// Number of entries (non-zeros) : 83</span></div>
|
||
<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="comment">// Number of entries in the objective : 5</span></div>
|
||
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <span class="comment">// Number of entries in the right-hand side : 7</span></div>
|
||
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <span class="comment">// Number of <= constraints : 19</span></div>
|
||
<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="comment">// Number of >= constraints : 0</span></div>
|
||
<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="comment">// Number of = constraints : 8</span></div>
|
||
<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="comment">// Number of range constraints : 0</span></div>
|
||
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="comment">// Number of non-negative variables : 32</span></div>
|
||
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="comment">// Number of boxed variables : 0</span></div>
|
||
<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="comment">// Number of free variables : 0</span></div>
|
||
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="comment">// Number of fixed variables : 0</span></div>
|
||
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <span class="comment">// Number of other variables : 0</span></div>
|
||
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  std::string <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a2c5fdde0efc79599fcb7949449028ecf">GetPrettyProblemStats</a>() <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  </div>
|
||
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <span class="comment">// Returns a comma-separated string of numbers containing (in that order)</span></div>
|
||
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="comment">// fill rate, max number of entries (length) in a row, average row length,</span></div>
|
||
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="comment">// standard deviation of row length, max column length, average column length,</span></div>
|
||
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="comment">// standard deviation of column length</span></div>
|
||
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <span class="comment">// Useful for profiling algorithms.</span></div>
|
||
<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <span class="comment">//</span></div>
|
||
<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="comment">// TODO(user): Theses are statistics about the underlying matrix and should be</span></div>
|
||
<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="comment">// moved to SparseMatrix.</span></div>
|
||
<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  std::string <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a3009656fbbef7a076bcaec0cca172572">GetNonZeroStats</a>() <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  </div>
|
||
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="comment">// Returns a string containing the same information as with GetNonZeroStats(),</span></div>
|
||
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="comment">// but in a much more human-readable form, for example:</span></div>
|
||
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="comment">// Fill rate : 9.61%</span></div>
|
||
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <span class="comment">// Entries in row (Max / average / std, dev.) : 9 / 3.07 / 1.94</span></div>
|
||
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="comment">// Entries in column (Max / average / std, dev.): 4 / 2.59 / 0.96</span></div>
|
||
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  std::string <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a7866c9704e24cad179e98c7188587cdf">GetPrettyNonZeroStats</a>() <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  </div>
|
||
<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <span class="comment">// Adds slack variables to the problem for all rows which don't have slack</span></div>
|
||
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="comment">// variables. The new slack variables have bounds set to opposite of the</span></div>
|
||
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="comment">// bounds of the corresponding constraint, and changes all constraints to</span></div>
|
||
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="comment">// equality constraints with both bounds set to 0.0. If a constraint uses only</span></div>
|
||
<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="comment">// integer variables and all their coefficients are integer, it will mark the</span></div>
|
||
<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="comment">// slack variable as integer too.</span></div>
|
||
<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="comment">//</span></div>
|
||
<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <span class="comment">// It is an error to call CreateNewVariable() or CreateNewConstraint() on a</span></div>
|
||
<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="comment">// linear program on which this method was called.</span></div>
|
||
<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="comment">//</span></div>
|
||
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="comment">// Note that many of the slack variables may not be useful at all, but in</span></div>
|
||
<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="comment">// order not to recompute the matrix from one Solve() to the next, we always</span></div>
|
||
<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="comment">// include all of them for a given lp matrix.</span></div>
|
||
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="comment">//</span></div>
|
||
<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <span class="comment">// TODO(user): investigate the impact on the running time. It seems low</span></div>
|
||
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="comment">// because we almost never iterate on fixed variables.</span></div>
|
||
<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#aa23a76f0f582369176688b458cda07dc">AddSlackVariablesWhereNecessary</a>(<span class="keywordtype">bool</span> detect_integer_constraints);</div>
|
||
<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  </div>
|
||
<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <span class="comment">// Returns the index of the first slack variable in the linear program.</span></div>
|
||
<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <span class="comment">// Returns kInvalidCol if slack variables were not injected into the problem</span></div>
|
||
<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <span class="comment">// yet.</span></div>
|
||
<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  ColIndex <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a339d5516d8c29986233765e910257b4d">GetFirstSlackVariable</a>() <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  </div>
|
||
<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <span class="comment">// Returns the index of the slack variable corresponding to the given</span></div>
|
||
<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <span class="comment">// constraint. Returns kInvalidCol if slack variables were not injected into</span></div>
|
||
<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <span class="comment">// the problem yet.</span></div>
|
||
<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  ColIndex <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a48de416333220c0bea7759c5aa53ee14">GetSlackVariable</a>(RowIndex <a class="code" href="markowitz_8cc.html#aea35f36ba98d5bbd8d033382f50c9e52">row</a>) <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  </div>
|
||
<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <span class="comment">// Populates the calling object with the dual of the LinearProgram passed as</span></div>
|
||
<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <span class="comment">// parameter.</span></div>
|
||
<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <span class="comment">// For the general form that we solve,</span></div>
|
||
<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <span class="comment">// min c.x</span></div>
|
||
<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <span class="comment">// s.t. A_1 x = b_1</span></div>
|
||
<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="comment">// A_2 x <= b_2</span></div>
|
||
<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="comment">// A_3 x >= b_3</span></div>
|
||
<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="comment">// l <= x <= u</span></div>
|
||
<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <span class="comment">// With x: n-column of unknowns</span></div>
|
||
<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <span class="comment">// l,u: n-columns of bound coefficients</span></div>
|
||
<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="comment">// c: n-row of cost coefficients</span></div>
|
||
<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <span class="comment">// A_i: m_i×n-matrix of coefficients</span></div>
|
||
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="comment">// b_i: m_i-column of right-hand side coefficients</span></div>
|
||
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <span class="comment">//</span></div>
|
||
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="comment">// The dual is</span></div>
|
||
<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <span class="comment">//</span></div>
|
||
<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <span class="comment">// max b_1.y_1 + b_2.y_2 + b_3.y_3 + l.v + u.w</span></div>
|
||
<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <span class="comment">// s.t. y_1 A_1 + y_2 A_2 + y_3 A_3 + v + w = c</span></div>
|
||
<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="comment">// y_1 free, y_2 <= 0, y_3 >= 0, v >= 0, w <= 0</span></div>
|
||
<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <span class="comment">// With:</span></div>
|
||
<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <span class="comment">// y_i: m_i-row of unknowns</span></div>
|
||
<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="comment">// v,w: n-rows of unknowns</span></div>
|
||
<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="comment">//</span></div>
|
||
<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <span class="comment">// If range constraints are present, each of the corresponding row is</span></div>
|
||
<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="comment">// duplicated (with one becoming lower bounded and the other upper bounded).</span></div>
|
||
<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="comment">// For such ranged row in the primal, duplicated_rows[row] is set to the</span></div>
|
||
<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <span class="comment">// column index in the dual of the corresponding column duplicate. For</span></div>
|
||
<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="comment">// non-ranged row, duplicated_rows[row] is set to kInvalidCol.</span></div>
|
||
<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="comment">//</span></div>
|
||
<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="comment">// IMPORTANT: The linear_program argument must not have any free constraints.</span></div>
|
||
<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="comment">//</span></div>
|
||
<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <span class="comment">// IMPORTANT: This function always interprets the argument in its minimization</span></div>
|
||
<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <span class="comment">// form. So the dual solution of the dual needs to be negated if we want to</span></div>
|
||
<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <span class="comment">// compute the solution of a maximization problem given as an argument.</span></div>
|
||
<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="comment">//</span></div>
|
||
<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <span class="comment">// TODO(user): Do not interpret as a minimization problem?</span></div>
|
||
<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#ad38b71923c7904791897a23722c157cb">PopulateFromDual</a>(<span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html">LinearProgram</a>& dual,</div>
|
||
<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">RowToColMapping</a>* duplicated_rows);</div>
|
||
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  </div>
|
||
<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="comment">// Populates the calling object with the given LinearProgram.</span></div>
|
||
<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a2b3db5dc0b5e97f2790bbe1d633abc61">PopulateFromLinearProgram</a>(<span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html">LinearProgram</a>& linear_program);</div>
|
||
<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  </div>
|
||
<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="comment">// Populates the calling object with the given LinearProgram while permuting</span></div>
|
||
<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <span class="comment">// variables and constraints. This is useful mainly for testing to generate</span></div>
|
||
<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="comment">// a model with the same optimal objective value.</span></div>
|
||
<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a057224e0b8a244b6204e382bbb6337ee">PopulateFromPermutedLinearProgram</a>(</div>
|
||
<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html">LinearProgram</a>& lp, <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1Permutation.html">RowPermutation</a>& row_permutation,</div>
|
||
<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1Permutation.html">ColumnPermutation</a>& col_permutation);</div>
|
||
<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  </div>
|
||
<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <span class="comment">// Populates the calling object with the variables of the given LinearProgram.</span></div>
|
||
<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  <span class="comment">// The function preserves the bounds, the integrality, the names of the</span></div>
|
||
<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <span class="comment">// variables and their objective coefficients. No constraints are copied (the</span></div>
|
||
<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="comment">// matrix in the destination has 0 rows).</span></div>
|
||
<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#adb6ee53de9bb4adf2734b59842cea0f5">PopulateFromLinearProgramVariables</a>(<span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html">LinearProgram</a>& linear_program);</div>
|
||
<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  </div>
|
||
<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <span class="comment">// Adds constraints to the linear program. The constraints are specified using</span></div>
|
||
<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <span class="comment">// a sparse matrix of the coefficients, and vectors that represent the</span></div>
|
||
<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <span class="comment">// left-hand side and the right-hand side of the constraints, i.e.</span></div>
|
||
<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <span class="comment">// left_hand_sides <= coefficients * variables <= right_hand_sides.</span></div>
|
||
<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <span class="comment">// The sizes of the columns and the names must be the same as the number of</span></div>
|
||
<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <span class="comment">// rows of the sparse matrix; the number of columns of the matrix must be</span></div>
|
||
<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  <span class="comment">// equal to the number of variables of the linear program.</span></div>
|
||
<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a742dbe4804ed01bc7a27724f6b672466">AddConstraints</a>(<span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1SparseMatrix.html">SparseMatrix</a>& <a class="code" href="sat_2lp__utils_8cc.html#ab1734711414da2e668957d24a41b1ddf">coefficients</a>,</div>
|
||
<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">DenseColumn</a>& left_hand_sides,</div>
|
||
<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">DenseColumn</a>& right_hand_sides,</div>
|
||
<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">StrictITIVector<RowIndex, std::string></a>& names);</div>
|
||
<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  </div>
|
||
<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="comment">// Calls the AddConstraints method. After adding the constraints it adds slack</span></div>
|
||
<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="comment">// variables to the constraints.</span></div>
|
||
<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#ae8a25f4344e17329c596cd1c387f70b2">AddConstraintsWithSlackVariables</a>(</div>
|
||
<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1SparseMatrix.html">SparseMatrix</a>& <a class="code" href="sat_2lp__utils_8cc.html#ab1734711414da2e668957d24a41b1ddf">coefficients</a>, <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">DenseColumn</a>& left_hand_sides,</div>
|
||
<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">DenseColumn</a>& right_hand_sides,</div>
|
||
<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">StrictITIVector<RowIndex, std::string></a>& names,</div>
|
||
<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <span class="keywordtype">bool</span> detect_integer_constraints_for_slack);</div>
|
||
<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  </div>
|
||
<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="comment">// Swaps the content of this LinearProgram with the one passed as argument.</span></div>
|
||
<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <span class="comment">// Works in O(1).</span></div>
|
||
<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a7054c01679c4d1b7ce846b95937582d6">Swap</a>(<a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html">LinearProgram</a>* linear_program);</div>
|
||
<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  </div>
|
||
<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <span class="comment">// Removes the given column indices from the LinearProgram.</span></div>
|
||
<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  <span class="comment">// This needs to allocate O(num_variables) memory to update variable_table_.</span></div>
|
||
<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#ac59fd9cddfe284bf9dc7581ed631ce8d">DeleteColumns</a>(<span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">DenseBooleanRow</a>& columns_to_delete);</div>
|
||
<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  </div>
|
||
<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <span class="comment">// Removes slack variables from the linear program. The method restores the</span></div>
|
||
<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <span class="comment">// bounds on constraints from the bounds of the slack variables, resets the</span></div>
|
||
<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <span class="comment">// index of the first slack variable, and removes the relevant columns from</span></div>
|
||
<div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  <span class="comment">// the matrix.</span></div>
|
||
<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#ad7ecca71dd3aaf60246e7638ac3df455">DeleteSlackVariables</a>();</div>
|
||
<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  </div>
|
||
<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  <span class="comment">// Scales the problem using the given scaler.</span></div>
|
||
<div class="line"><a name="l00471"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1LinearProgram.html#a2ba6d84c5ab7af533569ed5d7f2e2846"> 471</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a2ba6d84c5ab7af533569ed5d7f2e2846">Scale</a>(<a class="code" href="classoperations__research_1_1glop_1_1SparseMatrixScaler.html">SparseMatrixScaler</a>* scaler);</div>
|
||
<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  </div>
|
||
<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  <span class="comment">// While Scale() makes sure the coefficients inside the linear program matrix</span></div>
|
||
<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  <span class="comment">// are in [-1, 1], the objective coefficients, variable bounds and constraint</span></div>
|
||
<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <span class="comment">// bounds can still take large values (originally or due to the matrix</span></div>
|
||
<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  <span class="comment">// scaling).</span></div>
|
||
<div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <span class="comment">//</span></div>
|
||
<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <span class="comment">// It makes a lot of sense to also scale them given that internally we use</span></div>
|
||
<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="comment">// absolute tolerances, and that it is nice to have the same behavior if users</span></div>
|
||
<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="comment">// scale their problems. For instance one could change the unit of ALL the</span></div>
|
||
<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="comment">// variables from Bytes to MBytes if they denote memory quantities. Or express</span></div>
|
||
<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <span class="comment">// a cost in dollars instead of thousands of dollars.</span></div>
|
||
<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="comment">//</span></div>
|
||
<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <span class="comment">// Here, we are quite prudent and just make sure that the range of the</span></div>
|
||
<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <span class="comment">// non-zeros magnitudes contains one. So for instance if all non-zeros costs</span></div>
|
||
<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <span class="comment">// are in [1e4, 1e6], we will divide them by 1e4 so that the new range is</span></div>
|
||
<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <span class="comment">// [1, 1e2].</span></div>
|
||
<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  <span class="comment">//</span></div>
|
||
<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <span class="comment">// TODO(user): Another more aggressive idea is to set the median/mean/geomean</span></div>
|
||
<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <span class="comment">// of the magnitudes to one. Investigate if this leads to better results. It</span></div>
|
||
<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <span class="comment">// does look more robust.</span></div>
|
||
<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="comment">//</span></div>
|
||
<div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  <span class="comment">// Both functions update objective_scaling_factor()/objective_offset() and</span></div>
|
||
<div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <span class="comment">// return the scaling coefficient so that:</span></div>
|
||
<div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <span class="comment">// - For ScaleObjective(), the old coefficients can be retrieved by</span></div>
|
||
<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  <span class="comment">// multiplying the new ones by the returned factor.</span></div>
|
||
<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <span class="comment">// - For ScaleBounds(), the old variable and constraint bounds can be</span></div>
|
||
<div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <span class="comment">// retrieved by multiplying the new ones by the returned factor.</span></div>
|
||
<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#ac5df4526af1b9ac31a38e84111d4f13a">ScaleObjective</a>();</div>
|
||
<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a354fba4c3eaf6cf38ee4f9e78a59f4c1">ScaleBounds</a>();</div>
|
||
<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  </div>
|
||
<div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <span class="comment">// Removes the given row indices from the LinearProgram.</span></div>
|
||
<div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  <span class="comment">// This needs to allocate O(num_variables) memory.</span></div>
|
||
<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#ac220cc5563c65b821d9d043010bb2121">DeleteRows</a>(<span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">DenseBooleanColumn</a>& rows_to_delete);</div>
|
||
<div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  </div>
|
||
<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <span class="comment">// Does basic checking on the linear program:</span></div>
|
||
<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <span class="comment">// - returns false if some coefficient are NaNs.</span></div>
|
||
<div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <span class="comment">// - returns false if some coefficient other than the bounds are +/- infinity.</span></div>
|
||
<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  <span class="comment">// Note that these conditions are also guarded by DCHECK on each of the</span></div>
|
||
<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <span class="comment">// SetXXX() function above.</span></div>
|
||
<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#ac532c4b500b1a85ea22217f2c65a70ed">IsValid</a>() <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  </div>
|
||
<div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="comment">// Updates the bounds of the variables to the intersection of their original</span></div>
|
||
<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <span class="comment">// bounds and the bounds specified by variable_lower_bounds and</span></div>
|
||
<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <span class="comment">// variable_upper_bounds. If the new bounds of all variables are non-empty,</span></div>
|
||
<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="comment">// returns true; otherwise, returns false.</span></div>
|
||
<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#acfe08a4275ac11e83e806835f04cc89e">UpdateVariableBoundsToIntersection</a>(</div>
|
||
<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">DenseRow</a>& <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a4ba664b00317505a0026d2a38e6dd565">variable_lower_bounds</a>,</div>
|
||
<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">DenseRow</a>& <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#acd138469679be137d0de53459b1342cb">variable_upper_bounds</a>);</div>
|
||
<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  </div>
|
||
<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  <span class="comment">// Returns true if the linear program is in equation form Ax = 0 and all slack</span></div>
|
||
<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <span class="comment">// variables have been added. This is also called "computational form" in some</span></div>
|
||
<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  <span class="comment">// of the literature.</span></div>
|
||
<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a2980fe48a1c9d1d0a792bc343314b9ba">IsInEquationForm</a>() <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  </div>
|
||
<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <span class="comment">// Returns true if all integer variables in the linear program have strictly</span></div>
|
||
<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <span class="comment">// integer bounds.</span></div>
|
||
<div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  <span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a38ca209d17d37eb31e29a4025ab0934f">BoundsOfIntegerVariablesAreInteger</a>(<a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> tolerance) <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  </div>
|
||
<div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <span class="comment">// Returns true if all integer constraints in the linear program have strictly</span></div>
|
||
<div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  <span class="comment">// integer bounds.</span></div>
|
||
<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a25349b5748c4f5f7eaa52d6986d14265">BoundsOfIntegerConstraintsAreInteger</a>(<a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> tolerance) <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  </div>
|
||
<div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  <span class="comment">// Advanced usage. Bypass the costly call to CleanUp() when we known that the</span></div>
|
||
<div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <span class="comment">// change we made kept the matrix columns "clean" (see the comment of</span></div>
|
||
<div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  <span class="comment">// CleanUp()). This is unsafe but can save a big chunk of the running time</span></div>
|
||
<div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="comment">// when one does a small amount of incremental changes to the problem (like</span></div>
|
||
<div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  <span class="comment">// adding a new row with no duplicates or zero entries).</span></div>
|
||
<div class="line"><a name="l00539"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1LinearProgram.html#aab451f1144133e621abdcd566c048a8d"> 539</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#aab451f1144133e621abdcd566c048a8d">NotifyThatColumnsAreClean</a>() {</div>
|
||
<div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  DCHECK(matrix_.<a class="code" href="classoperations__research_1_1glop_1_1SparseMatrix.html#a5e016d204d43b2cc4a2773c25462968a">IsCleanedUp</a>());</div>
|
||
<div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  columns_are_known_to_be_clean_ = <span class="keyword">true</span>;</div>
|
||
<div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  }</div>
|
||
<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  </div>
|
||
<div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <span class="comment">// If true, checks bound validity in debug mode.</span></div>
|
||
<div class="line"><a name="l00545"></a><span class="lineno"><a class="line" href="classoperations__research_1_1glop_1_1LinearProgram.html#a6f10999cb9fd607a0b2c2e08ba6b2ef4"> 545</a></span>  <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a6f10999cb9fd607a0b2c2e08ba6b2ef4">SetDcheckBounds</a>(<span class="keywordtype">bool</span> dcheck_bounds) { dcheck_bounds_ = dcheck_bounds; }</div>
|
||
<div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  </div>
|
||
<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <span class="keyword">private</span>:</div>
|
||
<div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <span class="comment">// A helper function that updates the vectors integer_variables_list_,</span></div>
|
||
<div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <span class="comment">// binary_variables_list_, and non_binary_variables_list_.</span></div>
|
||
<div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <span class="keywordtype">void</span> UpdateAllIntegerVariableLists() <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  </div>
|
||
<div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="comment">// A helper function to format problem statistics. Used by GetProblemStats()</span></div>
|
||
<div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  <span class="comment">// and GetPrettyProblemStats().</span></div>
|
||
<div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  std::string ProblemStatFormatter(<span class="keyword">const</span> absl::string_view format) <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  </div>
|
||
<div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <span class="comment">// A helper function to format non-zero statistics. Used by GetNonZeroStats()</span></div>
|
||
<div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  <span class="comment">// and GetPrettyNonZeroStats().</span></div>
|
||
<div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  std::string NonZeroStatFormatter(<span class="keyword">const</span> absl::string_view format) <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  </div>
|
||
<div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <span class="comment">// Resizes all row vectors to include index 'row'.</span></div>
|
||
<div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  <span class="keywordtype">void</span> ResizeRowsIfNeeded(RowIndex <a class="code" href="markowitz_8cc.html#aea35f36ba98d5bbd8d033382f50c9e52">row</a>);</div>
|
||
<div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  </div>
|
||
<div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  <span class="comment">// Populates the definitions of variables, name and objective in the calling</span></div>
|
||
<div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  <span class="comment">// linear program with the data from the given linear program. The method does</span></div>
|
||
<div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  <span class="comment">// not touch the data structures for storing constraints.</span></div>
|
||
<div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  <span class="keywordtype">void</span> PopulateNameObjectiveAndVariablesFromLinearProgram(</div>
|
||
<div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html">LinearProgram</a>& linear_program);</div>
|
||
<div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  </div>
|
||
<div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  <span class="comment">// Stores the linear program coefficients.</span></div>
|
||
<div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <a class="code" href="classoperations__research_1_1glop_1_1SparseMatrix.html">SparseMatrix</a> matrix_;</div>
|
||
<div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  </div>
|
||
<div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  <span class="comment">// The transpose of matrix_. This will be lazily recomputed by</span></div>
|
||
<div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  <span class="comment">// GetTransposeSparseMatrix() if transpose_matrix_is_consistent_ is false.</span></div>
|
||
<div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  <span class="keyword">mutable</span> <a class="code" href="classoperations__research_1_1glop_1_1SparseMatrix.html">SparseMatrix</a> transpose_matrix_;</div>
|
||
<div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  </div>
|
||
<div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  <span class="comment">// Constraint related quantities.</span></div>
|
||
<div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">DenseColumn</a> constraint_lower_bounds_;</div>
|
||
<div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">DenseColumn</a> constraint_upper_bounds_;</div>
|
||
<div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">StrictITIVector<RowIndex, std::string></a> constraint_names_;</div>
|
||
<div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  </div>
|
||
<div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  <span class="comment">// Variable related quantities.</span></div>
|
||
<div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">DenseRow</a> objective_coefficients_;</div>
|
||
<div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">DenseRow</a> variable_lower_bounds_;</div>
|
||
<div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">DenseRow</a> variable_upper_bounds_;</div>
|
||
<div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">StrictITIVector<ColIndex, std::string></a> variable_names_;</div>
|
||
<div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">StrictITIVector<ColIndex, VariableType></a> variable_types_;</div>
|
||
<div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  </div>
|
||
<div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  <span class="comment">// The vector of the indices of variables constrained to be integer.</span></div>
|
||
<div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  <span class="comment">// Note(user): the set of indices in integer_variables_list_ is the union</span></div>
|
||
<div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  <span class="comment">// of the set of indices in binary_variables_list_ and of the set of indices</span></div>
|
||
<div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  <span class="comment">// in non_binary_variables_list_ below.</span></div>
|
||
<div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  <span class="keyword">mutable</span> std::vector<ColIndex> integer_variables_list_;</div>
|
||
<div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  </div>
|
||
<div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <span class="comment">// The vector of the indices of variables constrained to be binary.</span></div>
|
||
<div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  <span class="keyword">mutable</span> std::vector<ColIndex> binary_variables_list_;</div>
|
||
<div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  </div>
|
||
<div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  <span class="comment">// The vector of the indices of variables constrained to be integer, but not</span></div>
|
||
<div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  <span class="comment">// binary.</span></div>
|
||
<div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  <span class="keyword">mutable</span> std::vector<ColIndex> non_binary_variables_list_;</div>
|
||
<div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  </div>
|
||
<div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  <span class="comment">// Map used to find the index of a variable based on its id.</span></div>
|
||
<div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  absl::flat_hash_map<std::string, ColIndex> variable_table_;</div>
|
||
<div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  </div>
|
||
<div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  <span class="comment">// Map used to find the index of a constraint based on its id.</span></div>
|
||
<div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  absl::flat_hash_map<std::string, RowIndex> constraint_table_;</div>
|
||
<div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  </div>
|
||
<div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  <span class="comment">// Offset of the objective, i.e. value of the objective when all variables</span></div>
|
||
<div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  <span class="comment">// are set to zero.</span></div>
|
||
<div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> objective_offset_;</div>
|
||
<div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> objective_scaling_factor_;</div>
|
||
<div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  </div>
|
||
<div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  <span class="comment">// Boolean true (resp. false) when the problem is a maximization</span></div>
|
||
<div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  <span class="comment">// (resp. minimization) problem.</span></div>
|
||
<div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  <span class="keywordtype">bool</span> maximize_;</div>
|
||
<div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  </div>
|
||
<div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  <span class="comment">// Boolean to speed-up multiple calls to IsCleanedUp() or</span></div>
|
||
<div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  <span class="comment">// CleanUp(). Mutable so IsCleanedUp() can be const.</span></div>
|
||
<div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  <span class="keyword">mutable</span> <span class="keywordtype">bool</span> columns_are_known_to_be_clean_;</div>
|
||
<div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  </div>
|
||
<div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  <span class="comment">// Whether transpose_matrix_ is guaranteed to be the transpose of matrix_.</span></div>
|
||
<div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  <span class="keyword">mutable</span> <span class="keywordtype">bool</span> transpose_matrix_is_consistent_;</div>
|
||
<div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  </div>
|
||
<div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  <span class="comment">// Whether integer_variables_list_ is consistent with the current</span></div>
|
||
<div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  <span class="comment">// LinearProgram.</span></div>
|
||
<div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  <span class="keyword">mutable</span> <span class="keywordtype">bool</span> integer_variables_list_is_consistent_;</div>
|
||
<div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  </div>
|
||
<div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  <span class="comment">// The name of the LinearProgram.</span></div>
|
||
<div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  std::string name_;</div>
|
||
<div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  </div>
|
||
<div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  <span class="comment">// The index of the first slack variable added to the linear program by</span></div>
|
||
<div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <span class="comment">// LinearProgram::AddSlackVariablesForAllRows().</span></div>
|
||
<div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  ColIndex first_slack_variable_;</div>
|
||
<div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  </div>
|
||
<div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  <span class="comment">// If true, checks bounds in debug mode.</span></div>
|
||
<div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  <span class="keywordtype">bool</span> dcheck_bounds_ = <span class="keyword">true</span>;</div>
|
||
<div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  </div>
|
||
<div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  <span class="keyword">friend</span> <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html#a2ba6d84c5ab7af533569ed5d7f2e2846">Scale</a>(<a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html">LinearProgram</a>* lp, <a class="code" href="classoperations__research_1_1glop_1_1SparseMatrixScaler.html">SparseMatrixScaler</a>* scaler,</div>
|
||
<div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  GlopParameters::ScalingAlgorithm scaling_method);</div>
|
||
<div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  </div>
|
||
<div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  DISALLOW_COPY_AND_ASSIGN(<a class="code" href="classoperations__research_1_1glop_1_1LinearProgram.html">LinearProgram</a>);</div>
|
||
<div class="line"><a name="l00641"></a><span class="lineno"> 641</span> };</div>
|
||
<div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  </div>
|
||
<div class="line"><a name="l00643"></a><span class="lineno"> 643</span> <span class="comment">// --------------------------------------------------------</span></div>
|
||
<div class="line"><a name="l00644"></a><span class="lineno"> 644</span> <span class="comment">// ProblemSolution</span></div>
|
||
<div class="line"><a name="l00645"></a><span class="lineno"> 645</span> <span class="comment">// --------------------------------------------------------</span></div>
|
||
<div class="line"><a name="l00646"></a><span class="lineno"> 646</span> <span class="comment">// Contains the solution of a LinearProgram as returned by a preprocessor.</span></div>
|
||
<div class="line"><a name="l00647"></a><span class="lineno"><a class="line" href="structoperations__research_1_1glop_1_1ProblemSolution.html"> 647</a></span> <span class="keyword">struct </span><a class="code" href="structoperations__research_1_1glop_1_1ProblemSolution.html">ProblemSolution</a> {</div>
|
||
<div class="line"><a name="l00648"></a><span class="lineno"><a class="line" href="structoperations__research_1_1glop_1_1ProblemSolution.html#a0510352d22b652c9cda1e9dc34cd1fce"> 648</a></span>  <a class="code" href="structoperations__research_1_1glop_1_1ProblemSolution.html#a0510352d22b652c9cda1e9dc34cd1fce">ProblemSolution</a>(RowIndex num_rows, ColIndex num_cols)</div>
|
||
<div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  : <a class="code" href="structoperations__research_1_1glop_1_1ProblemSolution.html#a15eb0790f4f62ad63676f55e4ba7d2bb">status</a>(<a class="code" href="namespaceoperations__research_1_1glop.html#ae8a885303349cb7807c7c87b405bc0c9">ProblemStatus</a>::OPTIMAL),</div>
|
||
<div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  <a class="code" href="structoperations__research_1_1glop_1_1ProblemSolution.html#af8a495c9872268c3e34d413d8b63ef66">primal_values</a>(num_cols, 0.0),</div>
|
||
<div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  <a class="code" href="structoperations__research_1_1glop_1_1ProblemSolution.html#ac6b277da46124f6b08841906b0febbed">dual_values</a>(num_rows, 0.0),</div>
|
||
<div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  <a class="code" href="structoperations__research_1_1glop_1_1ProblemSolution.html#a887a20330f1f58adbe564ef0fcf74e8c">variable_statuses</a>(num_cols, <a class="code" href="namespaceoperations__research_1_1glop.html#a1ac488f3db89f6d16a85c56f3243290c">VariableStatus</a>::<a class="code" href="namespaceoperations__research_1_1glop.html#a1ac488f3db89f6d16a85c56f3243290ca88c189a42c87aa49d667fc8ab76bc323">FREE</a>),</div>
|
||
<div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  <a class="code" href="structoperations__research_1_1glop_1_1ProblemSolution.html#ae7a0a13dedf8ae7920036bfff1ad9c3b">constraint_statuses</a>(num_rows, <a class="code" href="namespaceoperations__research_1_1glop.html#ad59b85e44037bd502a5d8bd3fe16c0f9">ConstraintStatus</a>::<a class="code" href="namespaceoperations__research_1_1glop.html#a1ac488f3db89f6d16a85c56f3243290ca88c189a42c87aa49d667fc8ab76bc323">FREE</a>) {}</div>
|
||
<div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  <span class="comment">// The solution status.</span></div>
|
||
<div class="line"><a name="l00655"></a><span class="lineno"><a class="line" href="structoperations__research_1_1glop_1_1ProblemSolution.html#a15eb0790f4f62ad63676f55e4ba7d2bb"> 655</a></span>  <a class="code" href="namespaceoperations__research_1_1glop.html#ae8a885303349cb7807c7c87b405bc0c9">ProblemStatus</a> <a class="code" href="structoperations__research_1_1glop_1_1ProblemSolution.html#a15eb0790f4f62ad63676f55e4ba7d2bb">status</a>;</div>
|
||
<div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  </div>
|
||
<div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  <span class="comment">// The actual primal/dual solution values. This is what most clients will</span></div>
|
||
<div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  <span class="comment">// need, and this is enough for LPSolver to easily check the optimality.</span></div>
|
||
<div class="line"><a name="l00659"></a><span class="lineno"><a class="line" href="structoperations__research_1_1glop_1_1ProblemSolution.html#af8a495c9872268c3e34d413d8b63ef66"> 659</a></span>  <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">DenseRow</a> <a class="code" href="structoperations__research_1_1glop_1_1ProblemSolution.html#af8a495c9872268c3e34d413d8b63ef66">primal_values</a>;</div>
|
||
<div class="line"><a name="l00660"></a><span class="lineno"><a class="line" href="structoperations__research_1_1glop_1_1ProblemSolution.html#ac6b277da46124f6b08841906b0febbed"> 660</a></span>  <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">DenseColumn</a> <a class="code" href="structoperations__research_1_1glop_1_1ProblemSolution.html#ac6b277da46124f6b08841906b0febbed">dual_values</a>;</div>
|
||
<div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  </div>
|
||
<div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  <span class="comment">// The status of the variables and constraints which is difficult to</span></div>
|
||
<div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  <span class="comment">// reconstruct from the solution values alone. Some remarks:</span></div>
|
||
<div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  <span class="comment">// - From this information alone, by factorizing the basis, it is easy to</span></div>
|
||
<div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  <span class="comment">// reconstruct the primal and dual values.</span></div>
|
||
<div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  <span class="comment">// - The main difficulty to construct this from the solution values is to</span></div>
|
||
<div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  <span class="comment">// reconstruct the optimal basis if some basic variables are exactly at</span></div>
|
||
<div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  <span class="comment">// one of their bounds (and their reduced costs are close to zero).</span></div>
|
||
<div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  <span class="comment">// - The non-basic information (VariableStatus::FIXED_VALUE,</span></div>
|
||
<div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  <span class="comment">// VariableStatus::AT_LOWER_BOUND, VariableStatus::AT_UPPER_BOUND,</span></div>
|
||
<div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  <span class="comment">// VariableStatus::FREE) is easy to construct for variables (because</span></div>
|
||
<div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  <span class="comment">// they are at their exact bounds). They can be guessed for constraints</span></div>
|
||
<div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  <span class="comment">// (here a small precision error is unavoidable). However, it is useful to</span></div>
|
||
<div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  <span class="comment">// carry this exact information during post-solve.</span></div>
|
||
<div class="line"><a name="l00675"></a><span class="lineno"><a class="line" href="structoperations__research_1_1glop_1_1ProblemSolution.html#a887a20330f1f58adbe564ef0fcf74e8c"> 675</a></span>  <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">VariableStatusRow</a> <a class="code" href="structoperations__research_1_1glop_1_1ProblemSolution.html#a887a20330f1f58adbe564ef0fcf74e8c">variable_statuses</a>;</div>
|
||
<div class="line"><a name="l00676"></a><span class="lineno"><a class="line" href="structoperations__research_1_1glop_1_1ProblemSolution.html#ae7a0a13dedf8ae7920036bfff1ad9c3b"> 676</a></span>  <a class="code" href="classoperations__research_1_1glop_1_1StrictITIVector.html">ConstraintStatusColumn</a> <a class="code" href="structoperations__research_1_1glop_1_1ProblemSolution.html#ae7a0a13dedf8ae7920036bfff1ad9c3b">constraint_statuses</a>;</div>
|
||
<div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  </div>
|
||
<div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  std::string <a class="code" href="structoperations__research_1_1glop_1_1ProblemSolution.html#a764be64f3029f8b8e23511061d8de355">DebugString</a>() <span class="keyword">const</span>;</div>
|
||
<div class="line"><a name="l00679"></a><span class="lineno"> 679</span> };</div>
|
||
<div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  </div>
|
||
<div class="line"><a name="l00681"></a><span class="lineno"> 681</span> <span class="comment">// Helper function to check the bounds of the SetVariableBounds() and</span></div>
|
||
<div class="line"><a name="l00682"></a><span class="lineno"> 682</span> <span class="comment">// SetConstraintBounds() functions.</span></div>
|
||
<div class="line"><a name="l00683"></a><span class="lineno"><a class="line" href="namespaceoperations__research_1_1glop.html#a2122f0c519a9e417e92c63273565d6b5"> 683</a></span> <span class="keyword">inline</span> <span class="keywordtype">bool</span> <a class="code" href="namespaceoperations__research_1_1glop.html#a2122f0c519a9e417e92c63273565d6b5">AreBoundsValid</a>(<a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> lower_bound, <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">Fractional</a> upper_bound) {</div>
|
||
<div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  <span class="keywordflow">if</span> (std::isnan(lower_bound)) <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
|
||
<div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  <span class="keywordflow">if</span> (std::isnan(upper_bound)) <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
|
||
<div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  <span class="keywordflow">if</span> (lower_bound == <a class="code" href="namespaceoperations__research_1_1glop.html#af9a790b7e8c5b0c6d55b336177378e78">kInfinity</a> && upper_bound == <a class="code" href="namespaceoperations__research_1_1glop.html#af9a790b7e8c5b0c6d55b336177378e78">kInfinity</a>) <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
|
||
<div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  <span class="keywordflow">if</span> (lower_bound == -<a class="code" href="namespaceoperations__research_1_1glop.html#af9a790b7e8c5b0c6d55b336177378e78">kInfinity</a> && upper_bound == -<a class="code" href="namespaceoperations__research_1_1glop.html#af9a790b7e8c5b0c6d55b336177378e78">kInfinity</a>) <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
|
||
<div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  <span class="keywordflow">if</span> (lower_bound > upper_bound) <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
|
||
<div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
|
||
<div class="line"><a name="l00690"></a><span class="lineno"> 690</span> }</div>
|
||
<div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  </div>
|
||
<div class="line"><a name="l00692"></a><span class="lineno"> 692</span> } <span class="comment">// namespace glop</span></div>
|
||
<div class="line"><a name="l00693"></a><span class="lineno"> 693</span> } <span class="comment">// namespace operations_research</span></div>
|
||
<div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  </div>
|
||
<div class="line"><a name="l00695"></a><span class="lineno"> 695</span> <span class="preprocessor">#endif // OR_TOOLS_LP_DATA_LP_DATA_H_</span></div>
|
||
</div><!-- fragment --></div><!-- contents -->
|
||
</div><!-- doc-content -->
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a38ca209d17d37eb31e29a4025ab0934f"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a38ca209d17d37eb31e29a4025ab0934f">operations_research::glop::LinearProgram::BoundsOfIntegerVariablesAreInteger</a></div><div class="ttdeci">bool BoundsOfIntegerVariablesAreInteger(Fractional tolerance) const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l01416">lp_data.cc:1416</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_acfe08a4275ac11e83e806835f04cc89e"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#acfe08a4275ac11e83e806835f04cc89e">operations_research::glop::LinearProgram::UpdateVariableBoundsToIntersection</a></div><div class="ttdeci">bool UpdateVariableBoundsToIntersection(const DenseRow &variable_lower_bounds, const DenseRow &variable_upper_bounds)</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00975">lp_data.cc:975</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a69d82a65001991de390a5acc122573f3"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a69d82a65001991de390a5acc122573f3">operations_research::glop::LinearProgram::CreateNewSlackVariable</a></div><div class="ttdeci">ColIndex CreateNewSlackVariable(bool is_integer_slack_variable, Fractional lower_bound, Fractional upper_bound, const std::string &name)</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00174">lp_data.cc:174</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_ad8227ba86a01f26e4f173cd5e219d5d1"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#ad8227ba86a01f26e4f173cd5e219d5d1">operations_research::glop::LinearProgram::name</a></div><div class="ttdeci">const std::string & name() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8h_source.html#l00075">lp_data.h:75</a></div></div>
|
||
<div class="ttc" id="astructoperations__research_1_1glop_1_1ProblemSolution_html_a0510352d22b652c9cda1e9dc34cd1fce"><div class="ttname"><a href="structoperations__research_1_1glop_1_1ProblemSolution.html#a0510352d22b652c9cda1e9dc34cd1fce">operations_research::glop::ProblemSolution::ProblemSolution</a></div><div class="ttdeci">ProblemSolution(RowIndex num_rows, ColIndex num_cols)</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8h_source.html#l00648">lp_data.h:648</a></div></div>
|
||
<div class="ttc" id="asat_2lp__utils_8cc_html_ab1734711414da2e668957d24a41b1ddf"><div class="ttname"><a href="sat_2lp__utils_8cc.html#ab1734711414da2e668957d24a41b1ddf">coefficients</a></div><div class="ttdeci">std::vector< double > coefficients</div><div class="ttdef"><b>Definition:</b> <a href="sat_2lp__utils_8cc_source.html#l00287">sat/lp_utils.cc:287</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_aa4e5168f378a3a4e86dcf409faf14937"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#aa4e5168f378a3a4e86dcf409faf14937">operations_research::glop::LinearProgram::constraint_upper_bounds</a></div><div class="ttdeci">const DenseColumn & constraint_upper_bounds() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8h_source.html#l00218">lp_data.h:218</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_aa3e03ca59f6ecbfa265efac36d89cf3d"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#aa3e03ca59f6ecbfa265efac36d89cf3d">operations_research::glop::LinearProgram::SetVariableName</a></div><div class="ttdeci">void SetVariableName(ColIndex col, const std::string &name)</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00230">lp_data.cc:230</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1StrictITIVector_html"><div class="ttname"><a href="classoperations__research_1_1glop_1_1StrictITIVector.html">operations_research::glop::StrictITIVector< RowIndex, Fractional ></a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a2c5fdde0efc79599fcb7949449028ecf"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a2c5fdde0efc79599fcb7949449028ecf">operations_research::glop::LinearProgram::GetPrettyProblemStats</a></div><div class="ttdeci">std::string GetPrettyProblemStats() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00633">lp_data.cc:633</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a4ba664b00317505a0026d2a38e6dd565"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a4ba664b00317505a0026d2a38e6dd565">operations_research::glop::LinearProgram::variable_lower_bounds</a></div><div class="ttdeci">const DenseRow & variable_lower_bounds() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8h_source.html#l00229">lp_data.h:229</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_ad9d564651057c77b3f2ca1293134557f"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#ad9d564651057c77b3f2ca1293134557f">operations_research::glop::LinearProgram::CreateNewConstraint</a></div><div class="ttdeci">RowIndex CreateNewConstraint()</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00189">lp_data.cc:189</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_acd138469679be137d0de53459b1342cb"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#acd138469679be137d0de53459b1342cb">operations_research::glop::LinearProgram::variable_upper_bounds</a></div><div class="ttdeci">const DenseRow & variable_upper_bounds() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8h_source.html#l00232">lp_data.h:232</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_abfc30f91ab75c6f4552003f777672e74"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#abfc30f91ab75c6f4552003f777672e74">operations_research::glop::LinearProgram::CleanUp</a></div><div class="ttdeci">void CleanUp()</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00345">lp_data.cc:345</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a007496c4e4962b2fa4d2e996fd7b4cf6"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a007496c4e4962b2fa4d2e996fd7b4cf6">operations_research::glop::LinearProgram::GetMutableTransposeSparseMatrix</a></div><div class="ttdeci">SparseMatrix * GetMutableTransposeSparseMatrix()</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00384">lp_data.cc:384</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_ac62972ff1b21a037e56530cde67309ab"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#ac62972ff1b21a037e56530cde67309ab">operations_research::glop::LinearProgram::VariableType</a></div><div class="ttdeci">VariableType</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8h_source.html#l00057">lp_data.h:57</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="aclassoperations__research_1_1glop_1_1LinearProgram_html_aa779a5d1f677630f42a48e1fdaadb1a8"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#aa779a5d1f677630f42a48e1fdaadb1a8">operations_research::glop::LinearProgram::ComputeSlackVariableValues</a></div><div class="ttdeci">void ComputeSlackVariableValues(DenseRow *solution) const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00504">lp_data.cc:504</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1SparseMatrix_html"><div class="ttname"><a href="classoperations__research_1_1glop_1_1SparseMatrix.html">operations_research::glop::SparseMatrix</a></div><div class="ttdef"><b>Definition:</b> <a href="sparse_8h_source.html#l00061">sparse.h:61</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a18b017687d9940cc46c92e3937a18882"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a18b017687d9940cc46c92e3937a18882">operations_research::glop::LinearProgram::GetVariableName</a></div><div class="ttdeci">std::string GetVariableName(ColIndex col) const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00358">lp_data.cc:358</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_ab5af7f232cddcd91f70be84c0d398ba9"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#ab5af7f232cddcd91f70be84c0d398ba9">operations_research::glop::LinearProgram::SetObjectiveCoefficient</a></div><div class="ttdeci">void SetObjectiveCoefficient(ColIndex col, Fractional value)</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00324">lp_data.cc:324</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a5d1b2b60ac8335834e40084ea545cc0d"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a5d1b2b60ac8335834e40084ea545cc0d">operations_research::glop::LinearProgram::RemoveObjectiveScalingAndOffset</a></div><div class="ttdeci">Fractional RemoveObjectiveScalingAndOffset(Fractional value) const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00524">lp_data.cc:524</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a6f10999cb9fd607a0b2c2e08ba6b2ef4"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a6f10999cb9fd607a0b2c2e08ba6b2ef4">operations_research::glop::LinearProgram::SetDcheckBounds</a></div><div class="ttdeci">void SetDcheckBounds(bool dcheck_bounds)</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8h_source.html#l00545">lp_data.h:545</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a48de416333220c0bea7759c5aa53ee14"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a48de416333220c0bea7759c5aa53ee14">operations_research::glop::LinearProgram::GetSlackVariable</a></div><div class="ttdeci">ColIndex GetSlackVariable(RowIndex row) const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00724">lp_data.cc:724</a></div></div>
|
||
<div class="ttc" id="ademon__profiler_8cc_html_a21edc7ca4cc5802c8779d68556bc09cf"><div class="ttname"><a href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a></div><div class="ttdeci">int64 value</div><div class="ttdef"><b>Definition:</b> <a href="demon__profiler_8cc_source.html#l00043">demon_profiler.cc:43</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_ac097fc8d275b5c13d3646f404c0533d5"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#ac097fc8d275b5c13d3646f404c0533d5">operations_research::glop::LinearProgram::SetConstraintName</a></div><div class="ttdeci">void SetConstraintName(RowIndex row, const std::string &name)</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00243">lp_data.cc:243</a></div></div>
|
||
<div class="ttc" id="astructoperations__research_1_1glop_1_1ProblemSolution_html"><div class="ttname"><a href="structoperations__research_1_1glop_1_1ProblemSolution.html">operations_research::glop::ProblemSolution</a></div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8h_source.html#l00647">lp_data.h:647</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1SparseMatrix_html_a960110e64357a3e69162ebf1f71959dd"><div class="ttname"><a href="classoperations__research_1_1glop_1_1SparseMatrix.html#a960110e64357a3e69162ebf1f71959dd">operations_research::glop::SparseMatrix::num_rows</a></div><div class="ttdeci">RowIndex num_rows() const</div><div class="ttdef"><b>Definition:</b> <a href="sparse_8h_source.html#l00176">sparse.h:176</a></div></div>
|
||
<div class="ttc" id="amacros_8h_html"><div class="ttname"><a href="macros_8h.html">macros.h</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_ac532c4b500b1a85ea22217f2c65a70ed"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#ac532c4b500b1a85ea22217f2c65a70ed">operations_research::glop::LinearProgram::IsValid</a></div><div class="ttdeci">bool IsValid() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l01237">lp_data.cc:1237</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">The vehicle routing library lets one model and solve generic vehicle routing problems ranging from th...</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="aclassoperations__research_1_1glop_1_1LinearProgram_html_acd7098e54f25e34f6626efd354cb7608"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#acd7098e54f25e34f6626efd354cb7608">operations_research::glop::LinearProgram::GetProblemStats</a></div><div class="ttdeci">std::string GetProblemStats() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00627">lp_data.cc:627</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_adb6ee53de9bb4adf2734b59842cea0f5"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#adb6ee53de9bb4adf2734b59842cea0f5">operations_research::glop::LinearProgram::PopulateFromLinearProgramVariables</a></div><div class="ttdeci">void PopulateFromLinearProgramVariables(const LinearProgram &linear_program)</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00904">lp_data.cc:904</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a4e79763dc85eb10320835bca13697f4d"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a4e79763dc85eb10320835bca13697f4d">operations_research::glop::LinearProgram::constraint_lower_bounds</a></div><div class="ttdeci">const DenseColumn & constraint_lower_bounds() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8h_source.html#l00215">lp_data.h:215</a></div></div>
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<div class="ttc" id="anamespaceoperations__research_1_1glop_html_ad59b85e44037bd502a5d8bd3fe16c0f9"><div class="ttname"><a href="namespaceoperations__research_1_1glop.html#ad59b85e44037bd502a5d8bd3fe16c0f9">operations_research::glop::ConstraintStatus</a></div><div class="ttdeci">ConstraintStatus</div><div class="ttdef"><b>Definition:</b> <a href="lp__types_8h_source.html#l00227">lp_types.h:227</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a5e016d204d43b2cc4a2773c25462968a"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a5e016d204d43b2cc4a2773c25462968a">operations_research::glop::LinearProgram::IsCleanedUp</a></div><div class="ttdeci">bool IsCleanedUp() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00352">lp_data.cc:352</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_ac62972ff1b21a037e56530cde67309abab1fa9dd3af034b3ef4291579aa673c07"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#ac62972ff1b21a037e56530cde67309abab1fa9dd3af034b3ef4291579aa673c07">operations_research::glop::LinearProgram::VariableType::CONTINUOUS</a></div><div class="ttdeci">@ CONTINUOUS</div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_af69d9b7065a8f31604a8134be4307749"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#af69d9b7065a8f31604a8134be4307749">operations_research::glop::LinearProgram::num_entries</a></div><div class="ttdeci">EntryIndex num_entries() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8h_source.html#l00211">lp_data.h:211</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a609bcb18cec39c7c43dd7a6d3a51ba81"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a609bcb18cec39c7c43dd7a6d3a51ba81">operations_research::glop::LinearProgram::IntegerVariablesList</a></div><div class="ttdeci">const std::vector< ColIndex > & IntegerVariablesList() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00278">lp_data.cc:278</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a2980fe48a1c9d1d0a792bc343314b9ba"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a2980fe48a1c9d1d0a792bc343314b9ba">operations_research::glop::LinearProgram::IsInEquationForm</a></div><div class="ttdeci">bool IsInEquationForm() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l01403">lp_data.cc:1403</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html">operations_research::glop::LinearProgram</a></div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8h_source.html#l00055">lp_data.h:55</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a25349b5748c4f5f7eaa52d6986d14265"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a25349b5748c4f5f7eaa52d6986d14265">operations_research::glop::LinearProgram::BoundsOfIntegerConstraintsAreInteger</a></div><div class="ttdeci">bool BoundsOfIntegerConstraintsAreInteger(Fractional tolerance) const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l01432">lp_data.cc:1432</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a2c97213019318c99fd9d01658803d12f"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a2c97213019318c99fd9d01658803d12f">operations_research::glop::LinearProgram::SolutionIsMIPFeasible</a></div><div class="ttdeci">bool SolutionIsMIPFeasible(const DenseRow &solution, Fractional absolute_tolerance) const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00498">lp_data.cc:498</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_ae8a25f4344e17329c596cd1c387f70b2"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#ae8a25f4344e17329c596cd1c387f70b2">operations_research::glop::LinearProgram::AddConstraintsWithSlackVariables</a></div><div class="ttdeci">void AddConstraintsWithSlackVariables(const SparseMatrix &coefficients, const DenseColumn &left_hand_sides, const DenseColumn &right_hand_sides, const StrictITIVector< RowIndex, std::string > &names, bool detect_integer_constraints_for_slack)</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00966">lp_data.cc:966</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_accdd045ec09206640c2338524da77d23"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#accdd045ec09206640c2338524da77d23">operations_research::glop::LinearProgram::IsMaximizationProblem</a></div><div class="ttdeci">bool IsMaximizationProblem() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8h_source.html#l00171">lp_data.h:171</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a23e637a2ad0316932c194e38f8e5f5f6"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a23e637a2ad0316932c194e38f8e5f5f6">operations_research::glop::LinearProgram::SolutionIsWithinVariableBounds</a></div><div class="ttdeci">bool SolutionIsWithinVariableBounds(const DenseRow &solution, Fractional absolute_tolerance) const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00450">lp_data.cc:450</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a62b98dec38b6506442f9fc63f1a9b88f"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a62b98dec38b6506442f9fc63f1a9b88f">operations_research::glop::LinearProgram::SetConstraintBounds</a></div><div class="ttdeci">void SetConstraintBounds(RowIndex row, Fractional lower_bound, Fractional upper_bound)</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00307">lp_data.cc:307</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a009204d0a4a7bb8252d86dd53733cacc"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a009204d0a4a7bb8252d86dd53733cacc">operations_research::glop::LinearProgram::GetObjectiveStatsString</a></div><div class="ttdeci">std::string GetObjectiveStatsString() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00431">lp_data.cc:431</a></div></div>
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||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_acd8437353d8dc686a75c98b5897dd871"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#acd8437353d8dc686a75c98b5897dd871">operations_research::glop::LinearProgram::num_variables</a></div><div class="ttdeci">ColIndex num_variables() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8h_source.html#l00205">lp_data.h:205</a></div></div>
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||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a354fba4c3eaf6cf38ee4f9e78a59f4c1"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a354fba4c3eaf6cf38ee4f9e78a59f4c1">operations_research::glop::LinearProgram::ScaleBounds</a></div><div class="ttdeci">Fractional ScaleBounds()</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l01155">lp_data.cc:1155</a></div></div>
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||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_ac1e28fcd73435981deb42946a3e38046"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#ac1e28fcd73435981deb42946a3e38046">operations_research::glop::LinearProgram::ApplyObjectiveScalingAndOffset</a></div><div class="ttdeci">Fractional ApplyObjectiveScalingAndOffset(Fractional value) const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00519">lp_data.cc:519</a></div></div>
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||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_ae3201a343d8df987411b55830bff7fa3"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#ae3201a343d8df987411b55830bff7fa3">operations_research::glop::LinearProgram::SetMaximizationProblem</a></div><div class="ttdeci">void SetMaximizationProblem(bool maximize)</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00341">lp_data.cc:341</a></div></div>
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||
<div class="ttc" id="anamespaceoperations__research_1_1glop_html_a733947145e3e1631165b618b05c9ccb7"><div class="ttname"><a href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">operations_research::glop::Fractional</a></div><div class="ttdeci">double Fractional</div><div class="ttdef"><b>Definition:</b> <a href="lp__types_8h_source.html#l00077">lp_types.h:77</a></div></div>
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||
<div class="ttc" id="anamespaceoperations__research_1_1glop_html_a2122f0c519a9e417e92c63273565d6b5"><div class="ttname"><a href="namespaceoperations__research_1_1glop.html#a2122f0c519a9e417e92c63273565d6b5">operations_research::glop::AreBoundsValid</a></div><div class="ttdeci">bool AreBoundsValid(Fractional lower_bound, Fractional upper_bound)</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8h_source.html#l00683">lp_data.h:683</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a2b3db5dc0b5e97f2790bbe1d633abc61"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a2b3db5dc0b5e97f2790bbe1d633abc61">operations_research::glop::LinearProgram::PopulateFromLinearProgram</a></div><div class="ttdeci">void PopulateFromLinearProgram(const LinearProgram &linear_program)</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00831">lp_data.cc:831</a></div></div>
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<div class="ttc" id="anamespaceoperations__research_1_1glop_html_af9a790b7e8c5b0c6d55b336177378e78"><div class="ttname"><a href="namespaceoperations__research_1_1glop.html#af9a790b7e8c5b0c6d55b336177378e78">operations_research::glop::kInfinity</a></div><div class="ttdeci">const double kInfinity</div><div class="ttdef"><b>Definition:</b> <a href="lp__types_8h_source.html#l00083">lp_types.h:83</a></div></div>
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||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_adcc58612f6a1dc35ff3ffdb34188f299"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#adcc58612f6a1dc35ff3ffdb34188f299">operations_research::glop::LinearProgram::GetDimensionString</a></div><div class="ttdeci">std::string GetDimensionString() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00423">lp_data.cc:423</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_ac59fd9cddfe284bf9dc7581ed631ce8d"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#ac59fd9cddfe284bf9dc7581ed631ce8d">operations_research::glop::LinearProgram::DeleteColumns</a></div><div class="ttdeci">void DeleteColumns(const DenseBooleanRow &columns_to_delete)</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l01034">lp_data.cc:1034</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a2d695f450ae446d5d9c225b991f8d88e"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a2d695f450ae446d5d9c225b991f8d88e">operations_research::glop::LinearProgram::SetCoefficient</a></div><div class="ttdeci">void SetCoefficient(RowIndex row, ColIndex col, Fractional value)</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00315">lp_data.cc:315</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_aec4f9f0e8674e2b692176f599086d721"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#aec4f9f0e8674e2b692176f599086d721">operations_research::glop::LinearProgram::variable_types</a></div><div class="ttdeci">const StrictITIVector< ColIndex, VariableType > variable_types() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8h_source.html#l00237">lp_data.h:237</a></div></div>
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<div class="ttc" id="astructoperations__research_1_1glop_1_1ProblemSolution_html_af8a495c9872268c3e34d413d8b63ef66"><div class="ttname"><a href="structoperations__research_1_1glop_1_1ProblemSolution.html#af8a495c9872268c3e34d413d8b63ef66">operations_research::glop::ProblemSolution::primal_values</a></div><div class="ttdeci">DenseRow primal_values</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8h_source.html#l00659">lp_data.h:659</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1SparseMatrix_html_a41741829541d089f1c4d34f190884813"><div class="ttname"><a href="classoperations__research_1_1glop_1_1SparseMatrix.html#a41741829541d089f1c4d34f190884813">operations_research::glop::SparseMatrix::num_cols</a></div><div class="ttdeci">ColIndex num_cols() const</div><div class="ttdef"><b>Definition:</b> <a href="sparse_8h_source.html#l00177">sparse.h:177</a></div></div>
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<div class="ttc" id="aint__type_8h_html"><div class="ttname"><a href="int__type_8h.html">int_type.h</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1SparseMatrix_html_af69d9b7065a8f31604a8134be4307749"><div class="ttname"><a href="classoperations__research_1_1glop_1_1SparseMatrix.html#af69d9b7065a8f31604a8134be4307749">operations_research::glop::SparseMatrix::num_entries</a></div><div class="ttdeci">EntryIndex num_entries() const</div><div class="ttdef"><b>Definition:</b> <a href="sparse_8cc_source.html#l00389">sparse.cc:389</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a814307860c1248b645ea68a8a11a0082"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a814307860c1248b645ea68a8a11a0082">operations_research::glop::LinearProgram::NonBinaryVariablesList</a></div><div class="ttdeci">const std::vector< ColIndex > & NonBinaryVariablesList() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00288">lp_data.cc:288</a></div></div>
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<div class="ttc" id="afp__utils_8h_html"><div class="ttname"><a href="fp__utils_8h.html">fp_utils.h</a></div></div>
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<div class="ttc" id="astructoperations__research_1_1glop_1_1ProblemSolution_html_a764be64f3029f8b8e23511061d8de355"><div class="ttname"><a href="structoperations__research_1_1glop_1_1ProblemSolution.html#a764be64f3029f8b8e23511061d8de355">operations_research::glop::ProblemSolution::DebugString</a></div><div class="ttdeci">std::string DebugString() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l01470">lp_data.cc:1470</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_ad7ecca71dd3aaf60246e7638ac3df455"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#ad7ecca71dd3aaf60246e7638ac3df455">operations_research::glop::LinearProgram::DeleteSlackVariables</a></div><div class="ttdeci">void DeleteSlackVariables()</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l01083">lp_data.cc:1083</a></div></div>
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<div class="ttc" id="aint__type__indexed__vector_8h_html"><div class="ttname"><a href="int__type__indexed__vector_8h.html">int_type_indexed_vector.h</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a40b46f23f42f169a527de50e016c2096"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a40b46f23f42f169a527de50e016c2096">operations_research::glop::LinearProgram::ClearTransposeMatrix</a></div><div class="ttdeci">void ClearTransposeMatrix()</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00402">lp_data.cc:402</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a0fe7ba825c8c6cd1efdcff6dec631093"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a0fe7ba825c8c6cd1efdcff6dec631093">operations_research::glop::LinearProgram::SetVariableBounds</a></div><div class="ttdeci">void SetVariableBounds(ColIndex col, Fractional lower_bound, Fractional upper_bound)</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00247">lp_data.cc:247</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_ab4a8456683d4572bd9426efab8489e99"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#ab4a8456683d4572bd9426efab8489e99">operations_research::glop::LinearProgram::Dump</a></div><div class="ttdeci">std::string Dump() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00529">lp_data.cc:529</a></div></div>
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||
<div class="ttc" id="astructoperations__research_1_1glop_1_1ProblemSolution_html_ac6b277da46124f6b08841906b0febbed"><div class="ttname"><a href="structoperations__research_1_1glop_1_1ProblemSolution.html#ac6b277da46124f6b08841906b0febbed">operations_research::glop::ProblemSolution::dual_values</a></div><div class="ttdeci">DenseColumn dual_values</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8h_source.html#l00660">lp_data.h:660</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_aa23a76f0f582369176688b458cda07dc"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#aa23a76f0f582369176688b458cda07dc">operations_research::glop::LinearProgram::AddSlackVariablesWhereNecessary</a></div><div class="ttdeci">void AddSlackVariablesWhereNecessary(bool detect_integer_constraints)</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00666">lp_data.cc:666</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a3009656fbbef7a076bcaec0cca172572"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a3009656fbbef7a076bcaec0cca172572">operations_research::glop::LinearProgram::GetNonZeroStats</a></div><div class="ttdeci">std::string GetNonZeroStats() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00655">lp_data.cc:655</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a88cc1c4519b043336ce23cdcec5fb0c2"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a88cc1c4519b043336ce23cdcec5fb0c2">operations_research::glop::LinearProgram::GetMutableSparseColumn</a></div><div class="ttdeci">SparseColumn * GetMutableSparseColumn(ColIndex col)</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00411">lp_data.cc:411</a></div></div>
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||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a5b58cfd45475bfab5ce1fe5c81b6da60"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a5b58cfd45475bfab5ce1fe5c81b6da60">operations_research::glop::LinearProgram::BinaryVariablesList</a></div><div class="ttdeci">const std::vector< ColIndex > & BinaryVariablesList() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00283">lp_data.cc:283</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_ab8efe00bb016665606d522a42543cd96"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#ab8efe00bb016665606d522a42543cd96">operations_research::glop::LinearProgram::IsVariableBinary</a></div><div class="ttdeci">bool IsVariableBinary(ColIndex col) const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00298">lp_data.cc:298</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a81334c7ceae9d68a38fe4d4bf0b7794c"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a81334c7ceae9d68a38fe4d4bf0b7794c">operations_research::glop::LinearProgram::objective_offset</a></div><div class="ttdeci">Fractional objective_offset() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8h_source.html#l00260">lp_data.h:260</a></div></div>
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<div class="ttc" id="astructoperations__research_1_1glop_1_1ProblemSolution_html_a887a20330f1f58adbe564ef0fcf74e8c"><div class="ttname"><a href="structoperations__research_1_1glop_1_1ProblemSolution.html#a887a20330f1f58adbe564ef0fcf74e8c">operations_research::glop::ProblemSolution::variable_statuses</a></div><div class="ttdeci">VariableStatusRow variable_statuses</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8h_source.html#l00675">lp_data.h:675</a></div></div>
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||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a2175025047722705a3af86e54229f9cd"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a2175025047722705a3af86e54229f9cd">operations_research::glop::LinearProgram::GetTransposeSparseMatrix</a></div><div class="ttdeci">const SparseMatrix & GetTransposeSparseMatrix() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00374">lp_data.cc:374</a></div></div>
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||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a33b78d7012477c55f395aaf92ca6e9f4"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a33b78d7012477c55f395aaf92ca6e9f4">operations_research::glop::LinearProgram::GetSparseMatrix</a></div><div class="ttdeci">const SparseMatrix & GetSparseMatrix() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8h_source.html#l00175">lp_data.h:175</a></div></div>
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||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_ac62972ff1b21a037e56530cde67309abab79968c5beff3baa0791198293518e14"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#ac62972ff1b21a037e56530cde67309abab79968c5beff3baa0791198293518e14">operations_research::glop::LinearProgram::VariableType::IMPLIED_INTEGER</a></div><div class="ttdeci">@ IMPLIED_INTEGER</div></div>
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||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1SparseMatrix_html_a5e016d204d43b2cc4a2773c25462968a"><div class="ttname"><a href="classoperations__research_1_1glop_1_1SparseMatrix.html#a5e016d204d43b2cc4a2773c25462968a">operations_research::glop::SparseMatrix::IsCleanedUp</a></div><div class="ttdeci">bool IsCleanedUp() const</div><div class="ttdef"><b>Definition:</b> <a href="sparse_8cc_source.html#l00135">sparse.cc:135</a></div></div>
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||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_afda9b9b5e858d0c466d2a6293361004a"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#afda9b9b5e858d0c466d2a6293361004a">operations_research::glop::LinearProgram::num_constraints</a></div><div class="ttdeci">RowIndex num_constraints() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8h_source.html#l00208">lp_data.h:208</a></div></div>
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||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a476f0627b588f945d6b14b9f08457ba9"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a476f0627b588f945d6b14b9f08457ba9">operations_research::glop::LinearProgram::DumpSolution</a></div><div class="ttdeci">std::string DumpSolution(const DenseRow &variable_values) const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00616">lp_data.cc:616</a></div></div>
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||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a7054c01679c4d1b7ce846b95937582d6"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a7054c01679c4d1b7ce846b95937582d6">operations_research::glop::LinearProgram::Swap</a></div><div class="ttdeci">void Swap(LinearProgram *linear_program)</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l01000">lp_data.cc:1000</a></div></div>
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||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_adf55bb4fcaab95674f072cb528d426a0"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#adf55bb4fcaab95674f072cb528d426a0">operations_research::glop::LinearProgram::objective_scaling_factor</a></div><div class="ttdeci">Fractional objective_scaling_factor() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8h_source.html#l00261">lp_data.h:261</a></div></div>
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||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a5c8255f82269d42db81cc944eff0180f"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a5c8255f82269d42db81cc944eff0180f">operations_research::glop::LinearProgram::objective_coefficients</a></div><div class="ttdeci">const DenseRow & objective_coefficients() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8h_source.html#l00223">lp_data.h:223</a></div></div>
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||
<div class="ttc" id="amarkowitz_8cc_html_aa9d6c98fdf8d89b0e2321fda02adc82c"><div class="ttname"><a href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a></div><div class="ttdeci">ColIndex col</div><div class="ttdef"><b>Definition:</b> <a href="markowitz_8cc_source.html#l00176">markowitz.cc:176</a></div></div>
|
||
<div class="ttc" id="anamespaceoperations__research_1_1glop_html_ae8a885303349cb7807c7c87b405bc0c9"><div class="ttname"><a href="namespaceoperations__research_1_1glop.html#ae8a885303349cb7807c7c87b405bc0c9">operations_research::glop::ProblemStatus</a></div><div class="ttdeci">ProblemStatus</div><div class="ttdef"><b>Definition:</b> <a href="lp__types_8h_source.html#l00101">lp_types.h:101</a></div></div>
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||
<div class="ttc" id="amarkowitz_8cc_html_aea35f36ba98d5bbd8d033382f50c9e52"><div class="ttname"><a href="markowitz_8cc.html#aea35f36ba98d5bbd8d033382f50c9e52">row</a></div><div class="ttdeci">RowIndex row</div><div class="ttdef"><b>Definition:</b> <a href="markowitz_8cc_source.html#l00175">markowitz.cc:175</a></div></div>
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||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_ac62972ff1b21a037e56530cde67309aba5d5cd46919fa987731fb2edefe0f2a0c"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#ac62972ff1b21a037e56530cde67309aba5d5cd46919fa987731fb2edefe0f2a0c">operations_research::glop::LinearProgram::VariableType::INTEGER</a></div><div class="ttdeci">@ INTEGER</div></div>
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||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1Permutation_html"><div class="ttname"><a href="classoperations__research_1_1glop_1_1Permutation.html">operations_research::glop::Permutation< RowIndex ></a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_ad38b71923c7904791897a23722c157cb"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#ad38b71923c7904791897a23722c157cb">operations_research::glop::LinearProgram::PopulateFromDual</a></div><div class="ttdeci">void PopulateFromDual(const LinearProgram &dual, RowToColMapping *duplicated_rows)</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00733">lp_data.cc:733</a></div></div>
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||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_aab451f1144133e621abdcd566c048a8d"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#aab451f1144133e621abdcd566c048a8d">operations_research::glop::LinearProgram::NotifyThatColumnsAreClean</a></div><div class="ttdeci">void NotifyThatColumnsAreClean()</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8h_source.html#l00539">lp_data.h:539</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a9ac8fe8120fdded43c5fa888bd696d3e"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a9ac8fe8120fdded43c5fa888bd696d3e">operations_research::glop::LinearProgram::UseTransposeMatrixAsReference</a></div><div class="ttdeci">void UseTransposeMatrixAsReference()</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00395">lp_data.cc:395</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_abcea67382d5e095491b022a7aa4291a7"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#abcea67382d5e095491b022a7aa4291a7">operations_research::glop::LinearProgram::LinearProgram</a></div><div class="ttdeci">LinearProgram()</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00109">lp_data.cc:109</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a940d484bb6523277e1d2c742f4f534a4"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a940d484bb6523277e1d2c742f4f534a4">operations_research::glop::LinearProgram::SetName</a></div><div class="ttdeci">void SetName(const std::string &name)</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8h_source.html#l00074">lp_data.h:74</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a2ba6d84c5ab7af533569ed5d7f2e2846"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a2ba6d84c5ab7af533569ed5d7f2e2846">operations_research::glop::LinearProgram::Scale</a></div><div class="ttdeci">void Scale(SparseMatrixScaler *scaler)</div></div>
|
||
<div class="ttc" id="ahash_8h_html"><div class="ttname"><a href="hash_8h.html">hash.h</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1SparseMatrixScaler_html"><div class="ttname"><a href="classoperations__research_1_1glop_1_1SparseMatrixScaler.html">operations_research::glop::SparseMatrixScaler</a></div><div class="ttdef"><b>Definition:</b> <a href="matrix__scaler_8h_source.html#l00079">matrix_scaler.h:79</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a6b50792950c42b62e8bf4ed596aebb27"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a6b50792950c42b62e8bf4ed596aebb27">operations_research::glop::LinearProgram::FindOrCreateConstraint</a></div><div class="ttdeci">RowIndex FindOrCreateConstraint(const std::string &constraint_id)</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00216">lp_data.cc:216</a></div></div>
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||
<div class="ttc" id="anamespaceoperations__research_1_1glop_html_acfc1d5d5139f63d8c733d4562124866a"><div class="ttname"><a href="namespaceoperations__research_1_1glop.html#acfc1d5d5139f63d8c733d4562124866a">operations_research::glop::VariableType</a></div><div class="ttdeci">VariableType</div><div class="ttdef"><b>Definition:</b> <a href="lp__types_8h_source.html#l00174">lp_types.h:174</a></div></div>
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||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_ac220cc5563c65b821d9d043010bb2121"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#ac220cc5563c65b821d9d043010bb2121">operations_research::glop::LinearProgram::DeleteRows</a></div><div class="ttdeci">void DeleteRows(const DenseBooleanColumn &rows_to_delete)</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l01190">lp_data.cc:1190</a></div></div>
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||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a4e1fb82cbbf024213eae338216bf601e"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a4e1fb82cbbf024213eae338216bf601e">operations_research::glop::LinearProgram::FindOrCreateVariable</a></div><div class="ttdeci">ColIndex FindOrCreateVariable(const std::string &variable_id)</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00203">lp_data.cc:203</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a887289f2d9928ca7a603fee5b77df258"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a887289f2d9928ca7a603fee5b77df258">operations_research::glop::LinearProgram::SolutionIsInteger</a></div><div class="ttdeci">bool SolutionIsInteger(const DenseRow &solution, Fractional absolute_tolerance) const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00486">lp_data.cc:486</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_ab4f3103f39bdbb86151baed2347f7b0a"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#ab4f3103f39bdbb86151baed2347f7b0a">operations_research::glop::LinearProgram::IsVariableInteger</a></div><div class="ttdeci">bool IsVariableInteger(ColIndex col) const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00293">lp_data.cc:293</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a2a29cc40908e09b0c565ceea15b77d89"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a2a29cc40908e09b0c565ceea15b77d89">operations_research::glop::LinearProgram::SetObjectiveOffset</a></div><div class="ttdeci">void SetObjectiveOffset(Fractional objective_offset)</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00329">lp_data.cc:329</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a6b0e95d320fd02517fdd0adaadca3d71"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a6b0e95d320fd02517fdd0adaadca3d71">operations_research::glop::LinearProgram::GetVariableType</a></div><div class="ttdeci">VariableType GetVariableType(ColIndex col) const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00370">lp_data.cc:370</a></div></div>
|
||
<div class="ttc" id="anamespaceoperations__research_1_1glop_html_a1ac488f3db89f6d16a85c56f3243290c"><div class="ttname"><a href="namespaceoperations__research_1_1glop.html#a1ac488f3db89f6d16a85c56f3243290c">operations_research::glop::VariableStatus</a></div><div class="ttdeci">VariableStatus</div><div class="ttdef"><b>Definition:</b> <a href="lp__types_8h_source.html#l00196">lp_types.h:196</a></div></div>
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||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1SparseColumn_html"><div class="ttname"><a href="classoperations__research_1_1glop_1_1SparseColumn.html">operations_research::glop::SparseColumn</a></div><div class="ttdef"><b>Definition:</b> <a href="sparse__column_8h_source.html#l00044">sparse_column.h:44</a></div></div>
|
||
<div class="ttc" id="anamespaceoperations__research_1_1glop_html_a1ac488f3db89f6d16a85c56f3243290ca88c189a42c87aa49d667fc8ab76bc323"><div class="ttname"><a href="namespaceoperations__research_1_1glop.html#a1ac488f3db89f6d16a85c56f3243290ca88c189a42c87aa49d667fc8ab76bc323">operations_research::glop::VariableStatus::FREE</a></div><div class="ttdeci">@ FREE</div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a057224e0b8a244b6204e382bbb6337ee"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a057224e0b8a244b6204e382bbb6337ee">operations_research::glop::LinearProgram::PopulateFromPermutedLinearProgram</a></div><div class="ttdeci">void PopulateFromPermutedLinearProgram(const LinearProgram &lp, const RowPermutation &row_permutation, const ColumnPermutation &col_permutation)</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00852">lp_data.cc:852</a></div></div>
|
||
<div class="ttc" id="astructoperations__research_1_1glop_1_1ProblemSolution_html_a15eb0790f4f62ad63676f55e4ba7d2bb"><div class="ttname"><a href="structoperations__research_1_1glop_1_1ProblemSolution.html#a15eb0790f4f62ad63676f55e4ba7d2bb">operations_research::glop::ProblemSolution::status</a></div><div class="ttdeci">ProblemStatus status</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8h_source.html#l00655">lp_data.h:655</a></div></div>
|
||
<div class="ttc" id="alp__types_8h_html"><div class="ttname"><a href="lp__types_8h.html">lp_types.h</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_aa8fbdc130ccf992a392b066fe625443e"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#aa8fbdc130ccf992a392b066fe625443e">operations_research::glop::LinearProgram::SolutionIsLPFeasible</a></div><div class="ttdeci">bool SolutionIsLPFeasible(const DenseRow &solution, Fractional absolute_tolerance) const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00466">lp_data.cc:466</a></div></div>
|
||
<div class="ttc" id="astructoperations__research_1_1glop_1_1ProblemSolution_html_ae7a0a13dedf8ae7920036bfff1ad9c3b"><div class="ttname"><a href="structoperations__research_1_1glop_1_1ProblemSolution.html#ae7a0a13dedf8ae7920036bfff1ad9c3b">operations_research::glop::ProblemSolution::constraint_statuses</a></div><div class="ttdeci">ConstraintStatusColumn constraint_statuses</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8h_source.html#l00676">lp_data.h:676</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a339d5516d8c29986233765e910257b4d"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a339d5516d8c29986233765e910257b4d">operations_research::glop::LinearProgram::GetFirstSlackVariable</a></div><div class="ttdeci">ColIndex GetFirstSlackVariable() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00720">lp_data.cc:720</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a7866c9704e24cad179e98c7188587cdf"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a7866c9704e24cad179e98c7188587cdf">operations_research::glop::LinearProgram::GetPrettyNonZeroStats</a></div><div class="ttdeci">std::string GetPrettyNonZeroStats() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00659">lp_data.cc:659</a></div></div>
|
||
<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a695ac3d8db5a986f572711f2ef3a6a39"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a695ac3d8db5a986f572711f2ef3a6a39">operations_research::glop::LinearProgram::CreateNewVariable</a></div><div class="ttdeci">ColIndex CreateNewVariable()</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00160">lp_data.cc:160</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_aeeee0971281f2781c379fce7a64a5049"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#aeeee0971281f2781c379fce7a64a5049">operations_research::glop::LinearProgram::GetSparseColumn</a></div><div class="ttdeci">const SparseColumn & GetSparseColumn(ColIndex col) const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00407">lp_data.cc:407</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a8d7d21abe90edddc22416e5db1db563f"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a8d7d21abe90edddc22416e5db1db563f">operations_research::glop::LinearProgram::GetConstraintName</a></div><div class="ttdeci">std::string GetConstraintName(RowIndex row) const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00364">lp_data.cc:364</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a7ddcdc56f25d075e18d62ddbcd3389b2"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a7ddcdc56f25d075e18d62ddbcd3389b2">operations_research::glop::LinearProgram::SetVariableType</a></div><div class="ttdeci">void SetVariableType(ColIndex col, VariableType type)</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00234">lp_data.cc:234</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a01a5a464aad9b500e5f07b0457520762"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a01a5a464aad9b500e5f07b0457520762">operations_research::glop::LinearProgram::SetObjectiveScalingFactor</a></div><div class="ttdeci">void SetObjectiveScalingFactor(Fractional objective_scaling_factor)</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00334">lp_data.cc:334</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a6137c2df856cf2634f9bb259d2aace2b"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a6137c2df856cf2634f9bb259d2aace2b">operations_research::glop::LinearProgram::GetObjectiveCoefficientForMinimizationVersion</a></div><div class="ttdeci">Fractional GetObjectiveCoefficientForMinimizationVersion(ColIndex col) const</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00417">lp_data.cc:417</a></div></div>
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<div class="ttc" id="asparse_8h_html"><div class="ttname"><a href="sparse_8h.html">sparse.h</a></div></div>
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<div class="ttc" id="aparameters_8pb_8h_html"><div class="ttname"><a href="parameters_8pb_8h.html">parameters.pb.h</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_ac5df4526af1b9ac31a38e84111d4f13a"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#ac5df4526af1b9ac31a38e84111d4f13a">operations_research::glop::LinearProgram::ScaleObjective</a></div><div class="ttdeci">Fractional ScaleObjective()</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l01134">lp_data.cc:1134</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_a742dbe4804ed01bc7a27724f6b672466"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#a742dbe4804ed01bc7a27724f6b672466">operations_research::glop::LinearProgram::AddConstraints</a></div><div class="ttdeci">void AddConstraints(const SparseMatrix &coefficients, const DenseColumn &left_hand_sides, const DenseColumn &right_hand_sides, const StrictITIVector< RowIndex, std::string > &names)</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00941">lp_data.cc:941</a></div></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1LinearProgram_html_aa71d36872f416feaa853788a7a7a7ef8"><div class="ttname"><a href="classoperations__research_1_1glop_1_1LinearProgram.html#aa71d36872f416feaa853788a7a7a7ef8">operations_research::glop::LinearProgram::Clear</a></div><div class="ttdeci">void Clear()</div><div class="ttdef"><b>Definition:</b> <a href="lp__data_8cc_source.html#l00132">lp_data.cc:132</a></div></div>
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