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<div class="title">feasibility_pump.h</div> </div>
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<a href="feasibility__pump_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>&#160;<span class="comment">// Copyright 2010-2021 Google LLC</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Licensed under the Apache License, Version 2.0 (the &quot;License&quot;);</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<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>&#160;<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>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<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>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<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>&#160;<span class="comment">// distributed under the License is distributed on an &quot;AS IS&quot; BASIS,</span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<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>&#160;<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>&#160;<span class="comment">// limitations under the License.</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160; </div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="preprocessor">#ifndef OR_TOOLS_SAT_FEASIBILITY_PUMP_H_</span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="preprocessor">#define OR_TOOLS_SAT_FEASIBILITY_PUMP_H_</span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160; </div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="preprocessor">#include &lt;cstdint&gt;</span></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160; </div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="strong__vector_8h.html">ortools/base/strong_vector.h</a>&quot;</span></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="revised__simplex_8h.html">ortools/glop/revised_simplex.h</a>&quot;</span></div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="lp__data_8h.html">ortools/lp_data/lp_data.h</a>&quot;</span></div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="lp__data__utils_8h.html">ortools/lp_data/lp_data_utils.h</a>&quot;</span></div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="lp__types_8h.html">ortools/lp_data/lp_types.h</a>&quot;</span></div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="cp__model__loader_8h.html">ortools/sat/cp_model_loader.h</a>&quot;</span></div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="integer_8h.html">ortools/sat/integer.h</a>&quot;</span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="sat_2linear__constraint_8h.html">ortools/sat/linear_constraint.h</a>&quot;</span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="sat__solver_8h.html">ortools/sat/sat_solver.h</a>&quot;</span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="synchronization_8h.html">ortools/sat/synchronization.h</a>&quot;</span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="sat_2util_8h.html">ortools/sat/util.h</a>&quot;</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; </div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespaceoperations__research.html">operations_research</a> {</div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="keyword">namespace </span>sat {</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; </div>
<div class="line"><a name="l00034"></a><span class="lineno"><a class="line" href="classoperations__research_1_1sat_1_1_feasibility_pump.html"> 34</a></span>&#160;<span class="keyword">class </span><a class="code" href="classoperations__research_1_1sat_1_1_feasibility_pump.html">FeasibilityPump</a> {</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; <span class="keyword">public</span>:</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <span class="keyword">explicit</span> <a class="code" href="classoperations__research_1_1sat_1_1_feasibility_pump.html#a477d40d2455543bdf702f13fa36f4ddd">FeasibilityPump</a>(<a class="code" href="classoperations__research_1_1sat_1_1_model.html">Model</a>* <a class="code" href="gurobi__interface_8cc.html#a0728f23c9a47655d38e0bf1a2f200bcf">model</a>);</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <a class="code" href="classoperations__research_1_1sat_1_1_feasibility_pump.html#a18206039e9f0c76f2b35907a4f6ea812">~FeasibilityPump</a>();</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; </div>
<div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="classoperations__research_1_1sat_1_1_feasibility_pump.html#a67a7327915e66c0514cfa465a0475be1"> 39</a></span>&#160; <span class="keyword">typedef</span> glop::RowIndex <a class="code" href="classoperations__research_1_1sat_1_1_feasibility_pump.html#a67a7327915e66c0514cfa465a0475be1">ConstraintIndex</a>;</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; </div>
<div class="line"><a name="l00041"></a><span class="lineno"><a class="line" href="classoperations__research_1_1sat_1_1_feasibility_pump.html#a3f83024f314fe4c509e75b691c5513d0"> 41</a></span>&#160; <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1sat_1_1_feasibility_pump.html#a3f83024f314fe4c509e75b691c5513d0">SetMaxFPIterations</a>(<span class="keywordtype">int</span> max_iter) {</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; max_fp_iterations_ = <a class="code" href="alldiff__cst_8cc.html#a26e6db9bcc64b584051ecc28171ed11f">std::max</a>(1, max_iter);</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; }</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; </div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="comment">// Add a new linear constraint to this LP.</span></div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1sat_1_1_feasibility_pump.html#aaac2d8dee4d7fc8d5e9a1b1cfc3021bc">AddLinearConstraint</a>(<span class="keyword">const</span> <a class="code" href="structoperations__research_1_1sat_1_1_linear_constraint.html">LinearConstraint</a>&amp; <a class="code" href="demon__profiler_8cc.html#a05da18ca9c7b657a4a6ea24e07c9b695">ct</a>);</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; </div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <span class="comment">// Set the coefficient of the variable in the objective. Calling it twice will</span></div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <span class="comment">// overwrite the previous value. Note that this doesn&#39;t set the objective</span></div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <span class="comment">// coefficient if the variable doesn&#39;t appear in any constraints. So this has</span></div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <span class="comment">// to be called after all the constraints are added.</span></div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classoperations__research_1_1sat_1_1_feasibility_pump.html#ae384be06329c4c8f8fd62af7335dae2e">SetObjectiveCoefficient</a>(IntegerVariable ivar, IntegerValue coeff);</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; </div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <span class="comment">// Returns the LP value of a variable in the current</span></div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <span class="comment">// solution. These functions should only be called when HasSolution() is true.</span></div>
<div class="line"><a name="l00056"></a><span class="lineno"><a class="line" href="classoperations__research_1_1sat_1_1_feasibility_pump.html#ad271ccd28f3680abba2d189a7b78d86c"> 56</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1sat_1_1_feasibility_pump.html#ad271ccd28f3680abba2d189a7b78d86c">HasLPSolution</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> lp_solution_is_set_; }</div>
<div class="line"><a name="l00057"></a><span class="lineno"><a class="line" href="classoperations__research_1_1sat_1_1_feasibility_pump.html#a4a4bc5eab93d6df24cea56b6a29c78ed"> 57</a></span>&#160; <span class="keywordtype">double</span> <a class="code" href="classoperations__research_1_1sat_1_1_feasibility_pump.html#a4a4bc5eab93d6df24cea56b6a29c78ed">LPSolutionObjectiveValue</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> lp_objective_; }</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <span class="keywordtype">double</span> <a class="code" href="classoperations__research_1_1sat_1_1_feasibility_pump.html#a680158afc869b1a617ca173fa0033202">GetLPSolutionValue</a>(IntegerVariable variable) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="classoperations__research_1_1sat_1_1_feasibility_pump.html#af8f352bb9045be8c9f938118111e2e2e"> 59</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1sat_1_1_feasibility_pump.html#af8f352bb9045be8c9f938118111e2e2e">LPSolutionIsInteger</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> lp_solution_is_integer_; }</div>
<div class="line"><a name="l00060"></a><span class="lineno"><a class="line" href="classoperations__research_1_1sat_1_1_feasibility_pump.html#a3139c5212b639a866499d0cfb2a28e4f"> 60</a></span>&#160; <span class="keywordtype">double</span> <a class="code" href="classoperations__research_1_1sat_1_1_feasibility_pump.html#a3139c5212b639a866499d0cfb2a28e4f">LPSolutionFractionality</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> lp_solution_fractionality_; }</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; </div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <span class="comment">// Returns the Integer solution value of a variable in the current rounded</span></div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <span class="comment">// solution. These functions should only be called when HasIntegerSolution()</span></div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <span class="comment">// is true.</span></div>
<div class="line"><a name="l00065"></a><span class="lineno"><a class="line" href="classoperations__research_1_1sat_1_1_feasibility_pump.html#a0b2361c77d5402a7050af6a2538a09ae"> 65</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1sat_1_1_feasibility_pump.html#a0b2361c77d5402a7050af6a2538a09ae">HasIntegerSolution</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> integer_solution_is_set_; }</div>
<div class="line"><a name="l00066"></a><span class="lineno"><a class="line" href="classoperations__research_1_1sat_1_1_feasibility_pump.html#a5faf3bc77eadb1b687efe379820b7aea"> 66</a></span>&#160; int64_t <a class="code" href="classoperations__research_1_1sat_1_1_feasibility_pump.html#a5faf3bc77eadb1b687efe379820b7aea">IntegerSolutionObjectiveValue</a>()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="keywordflow">return</span> integer_solution_objective_;</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; }</div>
<div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="classoperations__research_1_1sat_1_1_feasibility_pump.html#acad222fde6e09601cc9d1a7b2481507e"> 69</a></span>&#160; <span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1sat_1_1_feasibility_pump.html#acad222fde6e09601cc9d1a7b2481507e">IntegerSolutionIsFeasible</a>()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <span class="keywordflow">return</span> integer_solution_is_feasible_;</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; }</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; int64_t <a class="code" href="classoperations__research_1_1sat_1_1_feasibility_pump.html#a9ad847669329f6fbccf8e4553adc7dee">GetIntegerSolutionValue</a>(IntegerVariable variable) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; </div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="comment">// Returns false if the model is proven to be infeasible.</span></div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1sat_1_1_feasibility_pump.html#a942f29030f08426e7e318204e987e2f7">Solve</a>();</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; </div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keyword">private</span>:</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <span class="comment">// Solve the LP, returns false if something went wrong in the LP solver.</span></div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <span class="keywordtype">bool</span> SolveLp();</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; </div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; <span class="comment">// Calls the specified rounding method in the parameters. Returns false if the</span></div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <span class="comment">// rounding couldn&#39;t be finished.</span></div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; <span class="keywordtype">bool</span> Round();</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; </div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="comment">// Round the fractional LP solution values to nearest integer values. This</span></div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="comment">// rounding always finishes so always returns true.</span></div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="keywordtype">bool</span> NearestIntegerRounding();</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; </div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="comment">// Counts the number of up and down locks as defined below.</span></div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="comment">// #up_locks = #upper bounded constraints with positive coeff for var</span></div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <span class="comment">// + #lower bounded constraints with negative coeff for var.</span></div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <span class="comment">// #down_locks = #lower bounded constraints with positive coeff for var</span></div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="comment">// + #upper bounded constraints with negative coeff for var.</span></div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="comment">// Rounds the variable in the direction of lesser locks. When the</span></div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="comment">// fractionality is low (less than 0.1), this reverts to nearest integer</span></div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <span class="comment">// rounding to avoid rounding almost integer values in wrong direction.</span></div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="comment">// This rounding always finishes so always returns true.</span></div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <span class="keywordtype">bool</span> LockBasedRounding();</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; </div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="comment">// Similar to LockBasedRounding except this only considers locks of active</span></div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="comment">// constraints.</span></div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <span class="keywordtype">bool</span> ActiveLockBasedRounding();</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; </div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <span class="comment">// This is expensive rounding algorithm. We round variables one by one and</span></div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <span class="comment">// propagate the bounds in between. If none of the rounded values fall in</span></div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; <span class="comment">// the continuous domain specified by lower and upper bound, we use the</span></div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <span class="comment">// current lower/upper bound (whichever one is closest) instead of rounding</span></div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <span class="comment">// the fractional lp solution value. If both the rounded values are in the</span></div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <span class="comment">// domain, we round to nearest integer. This idea was presented in the paper</span></div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <span class="comment">// &quot;Feasibility pump 2.0&quot; (2009) by Matteo Fischetti, Domenico Salvagnin.</span></div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <span class="comment">//</span></div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <span class="comment">// This rounding might not finish either because the time limit is reached or</span></div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <span class="comment">// the model is detected to be unsat. Returns false in those cases.</span></div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; <span class="keywordtype">bool</span> PropagationRounding();</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; </div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; <span class="keywordtype">void</span> FillIntegerSolutionStats();</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; </div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; <span class="comment">// Loads the lp_data_.</span></div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <span class="keywordtype">void</span> InitializeWorkingLP();</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; </div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <span class="comment">// Changes the LP objective and bounds of the norm constraints so the new</span></div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <span class="comment">// objective also tries to minimize the distance to the rounded solution.</span></div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="keywordtype">void</span> L1DistanceMinimize();</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; </div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; <span class="comment">// Stores the solutions in the shared repository. Stores LP solution if it is</span></div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; <span class="comment">// integer and stores the integer solution if it is feasible.</span></div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <span class="keywordtype">void</span> MaybePushToRepo();</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; </div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; <span class="keywordtype">void</span> PrintStats();</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; </div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <span class="comment">// Returns the variable value on the same scale as the CP variable value.</span></div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <span class="keywordtype">double</span> GetVariableValueAtCpScale(glop::ColIndex <a class="code" href="expr__array_8cc.html#a472a99923cbe11ae7b5a5d157d9ad465">var</a>);</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; </div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; <span class="comment">// Shortcut for an integer linear expression type.</span></div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; <span class="keyword">using</span> <a class="code" href="structoperations__research_1_1sat_1_1_linear_expression.html">LinearExpression</a> = std::vector&lt;std::pair&lt;glop::ColIndex, IntegerValue&gt;&gt;;</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; </div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; <span class="comment">// Gets or creates an LP variable that mirrors a model variable.</span></div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; <span class="comment">// The variable should be a positive reference.</span></div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; glop::ColIndex GetOrCreateMirrorVariable(IntegerVariable positive_variable);</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; </div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <span class="comment">// Updates the bounds of the LP variables from the CP bounds.</span></div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <span class="keywordtype">void</span> UpdateBoundsOfLpVariables();</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; </div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <span class="comment">// This epsilon is related to the precision of the value returned by the LP</span></div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; <span class="comment">// once they have been scaled back into the CP domain. So for large domain or</span></div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <span class="comment">// cost coefficient, we may have some issues.</span></div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <span class="keyword">static</span> <span class="keyword">const</span> <span class="keywordtype">double</span> kCpEpsilon;</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; </div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; <span class="comment">// Initial problem in integer form.</span></div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; <span class="comment">// We always sort the inner vectors by increasing glop::ColIndex.</span></div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; <span class="keyword">struct </span>LinearConstraintInternal {</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; IntegerValue lb;</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; IntegerValue ub;</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; <a class="code" href="structoperations__research_1_1sat_1_1_linear_expression.html">LinearExpression</a> terms;</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; };</div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; LinearExpression integer_objective_;</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; IntegerValue objective_infinity_norm_ = IntegerValue(0);</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; <span class="keywordtype">double</span> objective_normalization_factor_ = 0.0;</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; <span class="keywordtype">double</span> mixing_factor_ = 1.0;</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; </div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; <a class="code" href="classabsl_1_1_strong_vector.html">absl::StrongVector&lt;glop::RowIndex, LinearConstraintInternal&gt;</a> integer_lp_;</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; <span class="keywordtype">int</span> model_vars_size_ = 0;</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; </div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; <span class="comment">// Underlying LP solver API.</span></div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; <a class="code" href="classoperations__research_1_1glop_1_1_linear_program.html">glop::LinearProgram</a> lp_data_;</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; <a class="code" href="classoperations__research_1_1glop_1_1_revised_simplex.html">glop::RevisedSimplex</a> simplex_;</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; </div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; <a class="code" href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html">glop::ColMapping</a> norm_variables_;</div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; <a class="code" href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html">glop::ColToRowMapping</a> norm_lhs_constraints_;</div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; <a class="code" href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html">glop::ColToRowMapping</a> norm_rhs_constraints_;</div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; </div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; <span class="comment">// For the scaling.</span></div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; <a class="code" href="classoperations__research_1_1glop_1_1_lp_scaling_helper.html">glop::LpScalingHelper</a> scaler_;</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; </div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; <span class="comment">// Structures used for mirroring IntegerVariables inside the underlying LP</span></div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; <span class="comment">// solver: an integer variable var is mirrored by mirror_lp_variable_[var].</span></div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; <span class="comment">// Note that these indices are dense in [0, mirror_lp_variable_.size()] so</span></div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; <span class="comment">// they can be used as vector indices.</span></div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; std::vector&lt;IntegerVariable&gt; integer_variables_;</div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; absl::flat_hash_map&lt;IntegerVariable, glop::ColIndex&gt; mirror_lp_variable_;</div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; </div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; <span class="comment">// True if the variable was binary before we apply scaling.</span></div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; std::vector&lt;bool&gt; var_is_binary_;</div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; </div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; <span class="comment">// The following lock information is computed only once.</span></div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; <span class="comment">// Number of constraints restricting variable to take higher (resp. lower)</span></div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; <span class="comment">// values.</span></div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; std::vector&lt;int&gt; var_up_locks_;</div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; std::vector&lt;int&gt; var_down_locks_;</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; </div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; <span class="comment">// We need to remember what to optimize if an objective is given, because</span></div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; <span class="comment">// then we will switch the objective between feasibility and optimization.</span></div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; <span class="keywordtype">bool</span> objective_is_defined_ = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; </div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; <span class="comment">// Singletons from Model.</span></div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; <span class="keyword">const</span> SatParameters&amp; sat_parameters_;</div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; <a class="code" href="classoperations__research_1_1_time_limit.html">TimeLimit</a>* time_limit_;</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; IntegerTrail* integer_trail_;</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; <a class="code" href="structoperations__research_1_1_trail.html">Trail</a>* trail_;</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; IntegerEncoder* integer_encoder_;</div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; SharedIncompleteSolutionManager* incomplete_solutions_;</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; SatSolver* sat_solver_;</div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; IntegerDomains* domains_;</div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; <span class="keyword">const</span> CpModelMapping* mapping_;</div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; </div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; <span class="comment">// Last OPTIMAL/Feasible solution found by a call to the underlying LP solver.</span></div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; <span class="keywordtype">bool</span> lp_solution_is_set_ = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; <span class="keywordtype">bool</span> lp_solution_is_integer_ = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; <span class="keywordtype">double</span> lp_objective_;</div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; std::vector&lt;double&gt; lp_solution_;</div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; std::vector&lt;double&gt; best_lp_solution_;</div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; <span class="comment">// We use max fractionality of all variables.</span></div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; <span class="keywordtype">double</span> lp_solution_fractionality_;</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; </div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; <span class="comment">// Rounded Integer solution. This might not be feasible.</span></div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; <span class="keywordtype">bool</span> integer_solution_is_set_ = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; <span class="keywordtype">bool</span> integer_solution_is_feasible_ = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; int64_t integer_solution_objective_;</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; std::vector&lt;int64_t&gt; integer_solution_;</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; std::vector&lt;int64_t&gt; best_integer_solution_;</div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; <span class="keywordtype">int</span> num_infeasible_constraints_;</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; <span class="comment">// We use max infeasibility of all constraints.</span></div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; int64_t integer_solution_infeasibility_;</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; </div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; <span class="comment">// Sum of all simplex iterations performed by this class. This is useful to</span></div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; <span class="comment">// test the incrementality and compare to other solvers.</span></div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; int64_t total_num_simplex_iterations_ = 0;</div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; </div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; <span class="comment">// TODO(user): Tune default value. Expose as parameter.</span></div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; <span class="keywordtype">int</span> max_fp_iterations_ = 20;</div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; </div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; <span class="keywordtype">bool</span> model_is_unsat_ = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160;};</div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; </div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160;} <span class="comment">// namespace sat</span></div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160;} <span class="comment">// namespace operations_research</span></div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; </div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160;<span class="preprocessor">#endif </span><span class="comment">// OR_TOOLS_SAT_FEASIBILITY_PUMP_H_</span></div>
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<div class="ttc" id="aclassoperations__research_1_1glop_1_1_strict_i_t_i_vector_html"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html">operations_research::glop::StrictITIVector&lt; ColIndex, ColIndex &gt;</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_feasibility_pump_html"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_feasibility_pump.html">operations_research::sat::FeasibilityPump</a></div><div class="ttdef"><b>Definition:</b> <a href="feasibility__pump_8h_source.html#l00034">feasibility_pump.h:34</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_feasibility_pump_html_a0b2361c77d5402a7050af6a2538a09ae"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_feasibility_pump.html#a0b2361c77d5402a7050af6a2538a09ae">operations_research::sat::FeasibilityPump::HasIntegerSolution</a></div><div class="ttdeci">bool HasIntegerSolution() const</div><div class="ttdef"><b>Definition:</b> <a href="feasibility__pump_8h_source.html#l00065">feasibility_pump.h:65</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_feasibility_pump_html_a18206039e9f0c76f2b35907a4f6ea812"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_feasibility_pump.html#a18206039e9f0c76f2b35907a4f6ea812">operations_research::sat::FeasibilityPump::~FeasibilityPump</a></div><div class="ttdeci">~FeasibilityPump()</div><div class="ttdef"><b>Definition:</b> <a href="feasibility__pump_8cc_source.html#l00060">feasibility_pump.cc:60</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_feasibility_pump_html_a3139c5212b639a866499d0cfb2a28e4f"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_feasibility_pump.html#a3139c5212b639a866499d0cfb2a28e4f">operations_research::sat::FeasibilityPump::LPSolutionFractionality</a></div><div class="ttdeci">double LPSolutionFractionality() const</div><div class="ttdef"><b>Definition:</b> <a href="feasibility__pump_8h_source.html#l00060">feasibility_pump.h:60</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_feasibility_pump_html_a3f83024f314fe4c509e75b691c5513d0"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_feasibility_pump.html#a3f83024f314fe4c509e75b691c5513d0">operations_research::sat::FeasibilityPump::SetMaxFPIterations</a></div><div class="ttdeci">void SetMaxFPIterations(int max_iter)</div><div class="ttdef"><b>Definition:</b> <a href="feasibility__pump_8h_source.html#l00041">feasibility_pump.h:41</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_feasibility_pump_html_a477d40d2455543bdf702f13fa36f4ddd"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_feasibility_pump.html#a477d40d2455543bdf702f13fa36f4ddd">operations_research::sat::FeasibilityPump::FeasibilityPump</a></div><div class="ttdeci">FeasibilityPump(Model *model)</div><div class="ttdef"><b>Definition:</b> <a href="feasibility__pump_8cc_source.html#l00038">feasibility_pump.cc:38</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_feasibility_pump_html_a4a4bc5eab93d6df24cea56b6a29c78ed"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_feasibility_pump.html#a4a4bc5eab93d6df24cea56b6a29c78ed">operations_research::sat::FeasibilityPump::LPSolutionObjectiveValue</a></div><div class="ttdeci">double LPSolutionObjectiveValue() const</div><div class="ttdef"><b>Definition:</b> <a href="feasibility__pump_8h_source.html#l00057">feasibility_pump.h:57</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_feasibility_pump_html_a5faf3bc77eadb1b687efe379820b7aea"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_feasibility_pump.html#a5faf3bc77eadb1b687efe379820b7aea">operations_research::sat::FeasibilityPump::IntegerSolutionObjectiveValue</a></div><div class="ttdeci">int64_t IntegerSolutionObjectiveValue() const</div><div class="ttdef"><b>Definition:</b> <a href="feasibility__pump_8h_source.html#l00066">feasibility_pump.h:66</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_feasibility_pump_html_a67a7327915e66c0514cfa465a0475be1"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_feasibility_pump.html#a67a7327915e66c0514cfa465a0475be1">operations_research::sat::FeasibilityPump::ConstraintIndex</a></div><div class="ttdeci">glop::RowIndex ConstraintIndex</div><div class="ttdef"><b>Definition:</b> <a href="feasibility__pump_8h_source.html#l00039">feasibility_pump.h:39</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_feasibility_pump_html_a680158afc869b1a617ca173fa0033202"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_feasibility_pump.html#a680158afc869b1a617ca173fa0033202">operations_research::sat::FeasibilityPump::GetLPSolutionValue</a></div><div class="ttdeci">double GetLPSolutionValue(IntegerVariable variable) const</div><div class="ttdef"><b>Definition:</b> <a href="feasibility__pump_8cc_source.html#l00417">feasibility_pump.cc:417</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_feasibility_pump_html_a942f29030f08426e7e318204e987e2f7"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_feasibility_pump.html#a942f29030f08426e7e318204e987e2f7">operations_research::sat::FeasibilityPump::Solve</a></div><div class="ttdeci">bool Solve()</div><div class="ttdef"><b>Definition:</b> <a href="feasibility__pump_8cc_source.html#l00144">feasibility_pump.cc:144</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_feasibility_pump_html_a9ad847669329f6fbccf8e4553adc7dee"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_feasibility_pump.html#a9ad847669329f6fbccf8e4553adc7dee">operations_research::sat::FeasibilityPump::GetIntegerSolutionValue</a></div><div class="ttdeci">int64_t GetIntegerSolutionValue(IntegerVariable variable) const</div><div class="ttdef"><b>Definition:</b> <a href="feasibility__pump_8cc_source.html#l00429">feasibility_pump.cc:429</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_feasibility_pump_html_aaac2d8dee4d7fc8d5e9a1b1cfc3021bc"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_feasibility_pump.html#aaac2d8dee4d7fc8d5e9a1b1cfc3021bc">operations_research::sat::FeasibilityPump::AddLinearConstraint</a></div><div class="ttdeci">void AddLinearConstraint(const LinearConstraint &amp;ct)</div><div class="ttdef"><b>Definition:</b> <a href="feasibility__pump_8cc_source.html#l00065">feasibility_pump.cc:65</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_feasibility_pump_html_acad222fde6e09601cc9d1a7b2481507e"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_feasibility_pump.html#acad222fde6e09601cc9d1a7b2481507e">operations_research::sat::FeasibilityPump::IntegerSolutionIsFeasible</a></div><div class="ttdeci">bool IntegerSolutionIsFeasible() const</div><div class="ttdef"><b>Definition:</b> <a href="feasibility__pump_8h_source.html#l00069">feasibility_pump.h:69</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_feasibility_pump_html_ad271ccd28f3680abba2d189a7b78d86c"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_feasibility_pump.html#ad271ccd28f3680abba2d189a7b78d86c">operations_research::sat::FeasibilityPump::HasLPSolution</a></div><div class="ttdeci">bool HasLPSolution() const</div><div class="ttdef"><b>Definition:</b> <a href="feasibility__pump_8h_source.html#l00056">feasibility_pump.h:56</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_feasibility_pump_html_ae384be06329c4c8f8fd62af7335dae2e"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_feasibility_pump.html#ae384be06329c4c8f8fd62af7335dae2e">operations_research::sat::FeasibilityPump::SetObjectiveCoefficient</a></div><div class="ttdeci">void SetObjectiveCoefficient(IntegerVariable ivar, IntegerValue coeff)</div><div class="ttdef"><b>Definition:</b> <a href="feasibility__pump_8cc_source.html#l00091">feasibility_pump.cc:91</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_feasibility_pump_html_af8f352bb9045be8c9f938118111e2e2e"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_feasibility_pump.html#af8f352bb9045be8c9f938118111e2e2e">operations_research::sat::FeasibilityPump::LPSolutionIsInteger</a></div><div class="ttdeci">bool LPSolutionIsInteger() const</div><div class="ttdef"><b>Definition:</b> <a href="feasibility__pump_8h_source.html#l00059">feasibility_pump.h:59</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_model_html"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_model.html">operations_research::sat::Model</a></div><div class="ttdoc">Class that owns everything related to a particular optimization model.</div><div class="ttdef"><b>Definition:</b> <a href="sat_2model_8h_source.html#l00038">sat/model.h:38</a></div></div>
<div class="ttc" id="acp__model__loader_8h_html"><div class="ttname"><a href="cp__model__loader_8h.html">cp_model_loader.h</a></div></div>
<div class="ttc" id="ademon__profiler_8cc_html_a05da18ca9c7b657a4a6ea24e07c9b695"><div class="ttname"><a href="demon__profiler_8cc.html#a05da18ca9c7b657a4a6ea24e07c9b695">ct</a></div><div class="ttdeci">const Constraint * ct</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="aexpr__array_8cc_html_a472a99923cbe11ae7b5a5d157d9ad465"><div class="ttname"><a href="expr__array_8cc.html#a472a99923cbe11ae7b5a5d157d9ad465">var</a></div><div class="ttdeci">IntVar * var</div><div class="ttdef"><b>Definition:</b> <a href="expr__array_8cc_source.html#l01874">expr_array.cc:1874</a></div></div>
<div class="ttc" id="agurobi__interface_8cc_html_a0728f23c9a47655d38e0bf1a2f200bcf"><div class="ttname"><a href="gurobi__interface_8cc.html#a0728f23c9a47655d38e0bf1a2f200bcf">model</a></div><div class="ttdeci">GRBmodel * model</div><div class="ttdef"><b>Definition:</b> <a href="gurobi__interface_8cc_source.html#l00273">gurobi_interface.cc:273</a></div></div>
<div class="ttc" id="ainteger_8h_html"><div class="ttname"><a href="integer_8h.html">integer.h</a></div></div>
<div class="ttc" id="alp__data_8h_html"><div class="ttname"><a href="lp__data_8h.html">lp_data.h</a></div></div>
<div class="ttc" id="alp__data__utils_8h_html"><div class="ttname"><a href="lp__data__utils_8h.html">lp_data_utils.h</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="anamespaceoperations__research_html"><div class="ttname"><a href="namespaceoperations__research.html">operations_research</a></div><div class="ttdoc">Collection of objects used to extend the Constraint Solver library.</div><div class="ttdef"><b>Definition:</b> <a href="dense__doubly__linked__list_8h_source.html#l00021">dense_doubly_linked_list.h:21</a></div></div>
<div class="ttc" id="arevised__simplex_8h_html"><div class="ttname"><a href="revised__simplex_8h.html">revised_simplex.h</a></div></div>
<div class="ttc" id="asat_2linear__constraint_8h_html"><div class="ttname"><a href="sat_2linear__constraint_8h.html">linear_constraint.h</a></div></div>
<div class="ttc" id="asat_2util_8h_html"><div class="ttname"><a href="sat_2util_8h.html">util.h</a></div></div>
<div class="ttc" id="asat__solver_8h_html"><div class="ttname"><a href="sat__solver_8h.html">sat_solver.h</a></div></div>
<div class="ttc" id="astrong__vector_8h_html"><div class="ttname"><a href="strong__vector_8h.html">strong_vector.h</a></div></div>
<div class="ttc" id="astructoperations__research_1_1_trail_html"><div class="ttname"><a href="structoperations__research_1_1_trail.html">operations_research::Trail</a></div><div class="ttdef"><b>Definition:</b> <a href="constraint__solver_8cc_source.html#l00726">constraint_solver.cc:726</a></div></div>
<div class="ttc" id="astructoperations__research_1_1sat_1_1_linear_constraint_html"><div class="ttname"><a href="structoperations__research_1_1sat_1_1_linear_constraint.html">operations_research::sat::LinearConstraint</a></div><div class="ttdef"><b>Definition:</b> <a href="sat_2linear__constraint_8h_source.html#l00040">sat/linear_constraint.h:40</a></div></div>
<div class="ttc" id="astructoperations__research_1_1sat_1_1_linear_expression_html"><div class="ttname"><a href="structoperations__research_1_1sat_1_1_linear_expression.html">operations_research::sat::LinearExpression</a></div><div class="ttdef"><b>Definition:</b> <a href="sat_2linear__constraint_8h_source.html#l00174">sat/linear_constraint.h:174</a></div></div>
<div class="ttc" id="asynchronization_8h_html"><div class="ttname"><a href="synchronization_8h.html">synchronization.h</a></div></div>
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