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<a href="sat_2lp__utils_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 2010-2021 Google LLC</span></div><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><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">// Utility functions to interact with an lp solver from the SAT context.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> </div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#ifndef OR_TOOLS_SAT_LP_UTILS_H_</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#define OR_TOOLS_SAT_LP_UTILS_H_</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> </div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#include "<a class="code" href="linear__solver_8pb_8h.html">ortools/linear_solver/linear_solver.pb.h</a>"</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#include "<a class="code" href="lp__data_8h.html">ortools/lp_data/lp_data.h</a>"</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#include "<a class="code" href="boolean__problem_8pb_8h.html">ortools/sat/boolean_problem.pb.h</a>"</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="preprocessor">#include "<a class="code" href="cp__model_8pb_8h.html">ortools/sat/cp_model.pb.h</a>"</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="preprocessor">#include "<a class="code" href="sat__parameters_8pb_8h.html">ortools/sat/sat_parameters.pb.h</a>"</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="sat__solver_8h.html">ortools/sat/sat_solver.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include "<a class="code" href="util_2logging_8h.html">ortools/util/logging.h</a>"</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="keyword">namespace </span><a class="code" href="namespaceoperations__research.html">operations_research</a> {</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="keyword">namespace </span>sat {</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="comment">// Returns the smallest factor f such that f * abs(x) is integer modulo the</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="comment">// given tolerance relative to f (we use f * tolerance). It is only looking</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="comment">// for f smaller than the given limit. Returns zero if no such factor exist.</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="comment">//</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="comment">// The complexity is a lot less than O(limit), but it is possible that we might</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="comment">// miss the smallest such factor if the tolerance used is too low. This is</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="comment">// because we only rely on the best rational approximations of x with increasing</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="comment">// denominator.</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="keywordtype">int</span> <a class="code" href="namespaceoperations__research_1_1sat.html#af8b326626fb8ca0efd32ff0564d35731">FindRationalFactor</a>(<span class="keywordtype">double</span> x, <span class="keywordtype">int</span> limit = 1e4, <span class="keywordtype">double</span> tolerance = 1e-6);</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> </div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="comment">// Multiplies all continuous variable by the given scaling parameters and change</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="comment">// the rest of the model accordingly. The returned vector contains the scaling</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="comment">// of each variable (will always be 1.0 for integers) and can be used to recover</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="comment">// a solution of the unscaled problem from one of the new scaled problems by</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment">// dividing the variable values.</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="comment">//</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="comment">// We usually scale a continuous variable by scaling, but if its domain is going</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="comment">// to have larger values than max_bound, then we scale to have the max domain</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="comment">// magnitude equal to max_bound.</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="comment">//</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment">// Note that it is recommended to call DetectImpliedIntegers() before this</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment">// function so that we do not scale variables that do not need to be scaled.</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment">//</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment">// TODO(user): Also scale the solution hint if any.</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> std::vector<double> <a class="code" href="namespaceoperations__research_1_1sat.html#ac71665cf974c4a75adc4c9ad251ae853">ScaleContinuousVariables</a>(<span class="keywordtype">double</span> scaling, <span class="keywordtype">double</span> max_bound,</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  MPModelProto* mp_model);</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment">// This simple step helps and should be done first. Returns false if the model</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment">// is trivially infeasible because of crossing bounds.</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="keywordtype">bool</span> <a class="code" href="namespaceoperations__research_1_1sat.html#ab976889f89f3df5d24c7b72c0a7d8d07">MakeBoundsOfIntegerVariablesInteger</a>(<span class="keyword">const</span> SatParameters& params,</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  MPModelProto* mp_model,</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  SolverLogger* logger);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="comment">// Performs some extra tests on the given MPModelProto and returns false if one</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="comment">// is not satisfied. These are needed before trying to convert it to the native</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="comment">// CP-SAT format.</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="keywordtype">bool</span> <a class="code" href="namespaceoperations__research_1_1sat.html#a9cad548d18a6c850514c835b34f60cfe">MPModelProtoValidationBeforeConversion</a>(<span class="keyword">const</span> SatParameters& params,</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keyword">const</span> MPModelProto& mp_model,</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  SolverLogger* logger);</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">// To satisfy our scaling requirements, any terms that is almost zero can just</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="comment">// be set to zero. We need to do that before operations like</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="comment">// DetectImpliedIntegers(), becauses really low coefficients can cause issues</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="comment">// and might lead to less detection.</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="keywordtype">void</span> <a class="code" href="namespaceoperations__research_1_1sat.html#a8163165c60b5914e1e8476c56b048664">RemoveNearZeroTerms</a>(<span class="keyword">const</span> SatParameters& params, MPModelProto* mp_model,</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  SolverLogger* logger);</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">// This will mark implied integer as such. Note that it can also discover</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="comment">// variable of the form coeff * Integer + offset, and will change the model</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="comment">// so that these are marked as integer. It is why we return both a scaling and</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="comment">// an offset to transform the solution back to its original domain.</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="comment">//</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="comment">// TODO(user): Actually implement the offset part. This currently only happens</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="comment">// on the 3 neos-46470* miplib problems where we have a non-integer rhs.</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> std::vector<double> <a class="code" href="namespaceoperations__research_1_1sat.html#ae188c568fdffc07e6443ba7eb11cff1b">DetectImpliedIntegers</a>(MPModelProto* mp_model,</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  SolverLogger* logger);</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="comment">// Converts a MIP problem to a CpModel. Returns false if the coefficients</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="comment">// couldn't be converted to integers with a good enough precision.</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="comment">//</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="comment">// There is a bunch of caveats and you can find more details on the</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="comment">// SatParameters proto documentation for the mip_* parameters.</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="keywordtype">bool</span> <a class="code" href="namespaceoperations__research_1_1sat.html#a8344143223766ba5898fdba30d6f61d8">ConvertMPModelProtoToCpModelProto</a>(<span class="keyword">const</span> SatParameters& params,</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keyword">const</span> MPModelProto& mp_model,</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  CpModelProto* cp_model,</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  SolverLogger* logger);</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="comment">// Scales a double objective to its integer version and fills it in the proto.</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="comment">// The variable listed in the objective must be already defined in the cp_model</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="comment">// proto as this uses the variables bounds to compute a proper scaling.</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="comment">//</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="comment">// This uses params.mip_wanted_tolerance() and</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="comment">// params.mip_max_activity_exponent() to compute the scaling. Note however that</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="comment">// if the wanted tolerance is not satisfied this still scale with best effort.</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="comment">// You can see in the log the tolerance guaranteed by this automatic scaling.</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="comment">//</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="comment">// This will almost always returns true except for really bad cases like having</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="comment">// infinity in the objective.</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="keywordtype">bool</span> <a class="code" href="namespaceoperations__research_1_1sat.html#aacbac0b7fd26532836b564e9ec66bd7d">ScaleAndSetObjective</a>(<span class="keyword">const</span> SatParameters& params,</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keyword">const</span> std::vector<std::pair<int, double>>& objective,</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordtype">double</span> objective_offset, <span class="keywordtype">bool</span> maximize,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  CpModelProto* cp_model, SolverLogger* logger);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="comment">// Given a CpModelProto with a floating point objective, and its scaled integer</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="comment">// version with a known lower bound, this uses the variable bounds to derive a</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="comment">// correct lower bound on the original objective.</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="comment">//</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="comment">// Note that the integer version can be way different, but then the bound is</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="comment">// likely to be bad. For now, we solve this with a simple LP with one</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="comment">// constraint.</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> <span class="comment">//</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> <span class="comment">// TODO(user): Code a custom algo with more precision guarantee?</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> <span class="keywordtype">double</span> <a class="code" href="namespaceoperations__research_1_1sat.html#abf1098bd1f66254ed356544335469700">ComputeTrueObjectiveLowerBound</a>(</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keyword">const</span> CpModelProto& model_proto_with_floating_point_objective,</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keyword">const</span> CpObjectiveProto& integer_objective,</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keyword">const</span> int64_t inner_integer_objective_lower_bound);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> </div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> <span class="comment">// Converts an integer program with only binary variables to a Boolean</span></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> <span class="comment">// optimization problem. Returns false if the problem didn't contains only</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> <span class="comment">// binary integer variable, or if the coefficients couldn't be converted to</span></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> <span class="comment">// integer with a good enough precision.</span></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="keywordtype">bool</span> <a class="code" href="namespaceoperations__research_1_1sat.html#a7b33067a7dffa07cd5748bc4552c85a1">ConvertBinaryMPModelProtoToBooleanProblem</a>(<span class="keyword">const</span> MPModelProto& mp_model,</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  LinearBooleanProblem* problem);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> </div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="comment">// Converts a Boolean optimization problem to its lp formulation.</span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> <span class="keywordtype">void</span> <a class="code" href="namespaceoperations__research_1_1sat.html#a4591e100a0f29a249169e5833995cd31">ConvertBooleanProblemToLinearProgram</a>(<span class="keyword">const</span> LinearBooleanProblem& problem,</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  glop::LinearProgram* lp);</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> <span class="comment">// Changes the variable bounds of the lp to reflect the variables that have been</span></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> <span class="comment">// fixed by the SAT solver (i.e. assigned at decision level 0). Returns the</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> <span class="comment">// number of variables fixed this way.</span></div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> <span class="keywordtype">int</span> <a class="code" href="namespaceoperations__research_1_1sat.html#ab7cca71116da1e5640ad896f2bf46028">FixVariablesFromSat</a>(<span class="keyword">const</span> SatSolver& solver, glop::LinearProgram* lp);</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">// Solves the given lp problem and uses the lp solution to drive the SAT solver</span></div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> <span class="comment">// polarity choices. The variable must have the same index in the solved lp</span></div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> <span class="comment">// problem and in SAT for this to make sense.</span></div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> <span class="comment">//</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> <span class="comment">// Returns false if a problem occurred while trying to solve the lp.</span></div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> <span class="keywordtype">bool</span> <a class="code" href="namespaceoperations__research_1_1sat.html#a0ce1f2f17b7ce984fbfc526d6c04f337">SolveLpAndUseSolutionForSatAssignmentPreference</a>(</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keyword">const</span> glop::LinearProgram& lp, SatSolver* sat_solver,</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keywordtype">double</span> max_time_in_seconds);</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> </div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> <span class="comment">// Solves the lp and add constraints to fix the integer variable of the lp in</span></div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> <span class="comment">// the LinearBoolean problem.</span></div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> <span class="keywordtype">bool</span> <a class="code" href="namespaceoperations__research_1_1sat.html#aa46871f0150f3db9f9fdcbd1049aadaa">SolveLpAndUseIntegerVariableToStartLNS</a>(<span class="keyword">const</span> glop::LinearProgram& lp,</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  LinearBooleanProblem* problem);</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">// namespace sat</span></div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> } <span class="comment">// namespace operations_research</span></div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> </div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> <span class="preprocessor">#endif // OR_TOOLS_SAT_LP_UTILS_H_</span></div><div class="ttc" id="namespaceoperations__research_1_1sat_html_a7b33067a7dffa07cd5748bc4552c85a1"><div class="ttname"><a href="namespaceoperations__research_1_1sat.html#a7b33067a7dffa07cd5748bc4552c85a1">operations_research::sat::ConvertBinaryMPModelProtoToBooleanProblem</a></div><div class="ttdeci">bool ConvertBinaryMPModelProtoToBooleanProblem(const MPModelProto &mp_model, LinearBooleanProblem *problem)</div><div class="ttdef"><b>Definition:</b> <a href="sat_2lp__utils_8cc_source.html#l01072">sat/lp_utils.cc:1072</a></div></div>
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<div class="ttc" id="namespaceoperations__research_1_1sat_html_a0ce1f2f17b7ce984fbfc526d6c04f337"><div class="ttname"><a href="namespaceoperations__research_1_1sat.html#a0ce1f2f17b7ce984fbfc526d6c04f337">operations_research::sat::SolveLpAndUseSolutionForSatAssignmentPreference</a></div><div class="ttdeci">bool SolveLpAndUseSolutionForSatAssignmentPreference(const glop::LinearProgram &lp, SatSolver *sat_solver, double max_time_in_seconds)</div><div class="ttdef"><b>Definition:</b> <a href="sat_2lp__utils_8cc_source.html#l01329">sat/lp_utils.cc:1329</a></div></div>
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<div class="ttc" id="namespaceoperations__research_1_1sat_html_abf1098bd1f66254ed356544335469700"><div class="ttname"><a href="namespaceoperations__research_1_1sat.html#abf1098bd1f66254ed356544335469700">operations_research::sat::ComputeTrueObjectiveLowerBound</a></div><div class="ttdeci">double ComputeTrueObjectiveLowerBound(const CpModelProto &model_proto_with_floating_point_objective, const CpObjectiveProto &integer_objective, const int64_t inner_integer_objective_lower_bound)</div><div class="ttdef"><b>Definition:</b> <a href="sat_2lp__utils_8cc_source.html#l01382">sat/lp_utils.cc:1382</a></div></div>
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<div class="ttc" id="namespaceoperations__research_1_1sat_html_aa46871f0150f3db9f9fdcbd1049aadaa"><div class="ttname"><a href="namespaceoperations__research_1_1sat.html#aa46871f0150f3db9f9fdcbd1049aadaa">operations_research::sat::SolveLpAndUseIntegerVariableToStartLNS</a></div><div class="ttdeci">bool SolveLpAndUseIntegerVariableToStartLNS(const glop::LinearProgram &lp, LinearBooleanProblem *problem)</div><div class="ttdef"><b>Definition:</b> <a href="sat_2lp__utils_8cc_source.html#l01351">sat/lp_utils.cc:1351</a></div></div>
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<div class="ttc" id="namespaceoperations__research_1_1sat_html_a9cad548d18a6c850514c835b34f60cfe"><div class="ttname"><a href="namespaceoperations__research_1_1sat.html#a9cad548d18a6c850514c835b34f60cfe">operations_research::sat::MPModelProtoValidationBeforeConversion</a></div><div class="ttdeci">bool MPModelProtoValidationBeforeConversion(const SatParameters &params, const MPModelProto &mp_model, SolverLogger *logger)</div><div class="ttdef"><b>Definition:</b> <a href="sat_2lp__utils_8cc_source.html#l00275">sat/lp_utils.cc:275</a></div></div>
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<div class="ttc" id="namespaceoperations__research_1_1sat_html_a8163165c60b5914e1e8476c56b048664"><div class="ttname"><a href="namespaceoperations__research_1_1sat.html#a8163165c60b5914e1e8476c56b048664">operations_research::sat::RemoveNearZeroTerms</a></div><div class="ttdeci">void RemoveNearZeroTerms(const SatParameters &params, MPModelProto *mp_model, SolverLogger *logger)</div><div class="ttdef"><b>Definition:</b> <a href="sat_2lp__utils_8cc_source.html#l00222">sat/lp_utils.cc:222</a></div></div>
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<div class="ttc" id="util_2logging_8h_html"><div class="ttname"><a href="util_2logging_8h.html">logging.h</a></div></div>
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<div class="ttc" id="namespaceoperations__research_1_1sat_html_af8b326626fb8ca0efd32ff0564d35731"><div class="ttname"><a href="namespaceoperations__research_1_1sat.html#af8b326626fb8ca0efd32ff0564d35731">operations_research::sat::FindRationalFactor</a></div><div class="ttdeci">int FindRationalFactor(double x, int limit, double tolerance)</div><div class="ttdef"><b>Definition:</b> <a href="sat_2lp__utils_8cc_source.html#l00121">sat/lp_utils.cc:121</a></div></div>
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<div class="ttc" id="namespaceoperations__research_1_1sat_html_a8344143223766ba5898fdba30d6f61d8"><div class="ttname"><a href="namespaceoperations__research_1_1sat.html#a8344143223766ba5898fdba30d6f61d8">operations_research::sat::ConvertMPModelProtoToCpModelProto</a></div><div class="ttdeci">bool ConvertMPModelProtoToCpModelProto(const SatParameters &params, const MPModelProto &mp_model, CpModelProto *cp_model, SolverLogger *logger)</div><div class="ttdef"><b>Definition:</b> <a href="sat_2lp__utils_8cc_source.html#l00762">sat/lp_utils.cc:762</a></div></div>
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<div class="ttc" id="namespaceoperations__research_1_1sat_html_ab7cca71116da1e5640ad896f2bf46028"><div class="ttname"><a href="namespaceoperations__research_1_1sat.html#ab7cca71116da1e5640ad896f2bf46028">operations_research::sat::FixVariablesFromSat</a></div><div class="ttdeci">int FixVariablesFromSat(const SatSolver &solver, glop::LinearProgram *lp)</div><div class="ttdef"><b>Definition:</b> <a href="sat_2lp__utils_8cc_source.html#l01315">sat/lp_utils.cc:1315</a></div></div>
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<div class="ttc" id="namespaceoperations__research_1_1sat_html_ac71665cf974c4a75adc4c9ad251ae853"><div class="ttname"><a href="namespaceoperations__research_1_1sat.html#ac71665cf974c4a75adc4c9ad251ae853">operations_research::sat::ScaleContinuousVariables</a></div><div class="ttdeci">std::vector< double > ScaleContinuousVariables(double scaling, double max_bound, MPModelProto *mp_model)</div><div class="ttdef"><b>Definition:</b> <a href="sat_2lp__utils_8cc_source.html#l00102">sat/lp_utils.cc:102</a></div></div>
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<div class="ttc" id="sat__solver_8h_html"><div class="ttname"><a href="sat__solver_8h.html">sat_solver.h</a></div></div>
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<div class="ttc" id="namespaceoperations__research_html"><div class="ttname"><a href="namespaceoperations__research.html">operations_research</a></div><div class="ttdoc">Collection of objects used to extend the Constraint Solver library.</div><div class="ttdef"><b>Definition:</b> <a href="dense__doubly__linked__list_8h_source.html#l00021">dense_doubly_linked_list.h:21</a></div></div>
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<div class="ttc" id="namespaceoperations__research_1_1sat_html_ae188c568fdffc07e6443ba7eb11cff1b"><div class="ttname"><a href="namespaceoperations__research_1_1sat.html#ae188c568fdffc07e6443ba7eb11cff1b">operations_research::sat::DetectImpliedIntegers</a></div><div class="ttdeci">std::vector< double > DetectImpliedIntegers(MPModelProto *mp_model, SolverLogger *logger)</div><div class="ttdef"><b>Definition:</b> <a href="sat_2lp__utils_8cc_source.html#l00339">sat/lp_utils.cc:339</a></div></div>
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<div class="ttc" id="namespaceoperations__research_1_1sat_html_ab976889f89f3df5d24c7b72c0a7d8d07"><div class="ttname"><a href="namespaceoperations__research_1_1sat.html#ab976889f89f3df5d24c7b72c0a7d8d07">operations_research::sat::MakeBoundsOfIntegerVariablesInteger</a></div><div class="ttdeci">bool MakeBoundsOfIntegerVariablesInteger(const SatParameters &params, MPModelProto *mp_model, SolverLogger *logger)</div><div class="ttdef"><b>Definition:</b> <a href="sat_2lp__utils_8cc_source.html#l00184">sat/lp_utils.cc:184</a></div></div>
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<div class="ttc" id="namespaceoperations__research_1_1sat_html_a4591e100a0f29a249169e5833995cd31"><div class="ttname"><a href="namespaceoperations__research_1_1sat.html#a4591e100a0f29a249169e5833995cd31">operations_research::sat::ConvertBooleanProblemToLinearProgram</a></div><div class="ttdeci">void ConvertBooleanProblemToLinearProgram(const LinearBooleanProblem &problem, glop::LinearProgram *lp)</div><div class="ttdef"><b>Definition:</b> <a href="sat_2lp__utils_8cc_source.html#l01251">sat/lp_utils.cc:1251</a></div></div>
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<div class="ttc" id="namespaceoperations__research_1_1sat_html_aacbac0b7fd26532836b564e9ec66bd7d"><div class="ttname"><a href="namespaceoperations__research_1_1sat.html#aacbac0b7fd26532836b564e9ec66bd7d">operations_research::sat::ScaleAndSetObjective</a></div><div class="ttdeci">bool ScaleAndSetObjective(const SatParameters &params, const std::vector< std::pair< int, double >> &objective, double objective_offset, bool maximize, CpModelProto *cp_model, SolverLogger *logger)</div><div class="ttdef"><b>Definition:</b> <a href="sat_2lp__utils_8cc_source.html#l00955">sat/lp_utils.cc:955</a></div></div>
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