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<a href="bop__fs_8cc.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 2010-2018 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">#include &quot;<a class="code" href="bop__fs_8h.html">ortools/bop/bop_fs.h</a>&quot;</span></div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160; </div>
<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="preprocessor">#include &lt;string&gt;</span></div>
<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="preprocessor">#include &lt;vector&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;absl/memory/memory.h&quot;</span></div>
<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="preprocessor">#include &quot;absl/strings/str_format.h&quot;</span></div>
<div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="preprocessor">#include &quot;google/protobuf/text_format.h&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="sparse__permutation_8h.html">ortools/algorithms/sparse_permutation.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="commandlineflags_8h.html">ortools/base/commandlineflags.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="stl__util_8h.html">ortools/base/stl_util.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="lp__solver_8h.html">ortools/glop/lp_solver.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="lp__print__utils_8h.html">ortools/lp_data/lp_print_utils.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="boolean__problem_8h.html">ortools/sat/boolean_problem.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="sat_2lp__utils_8h.html">ortools/sat/lp_utils.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__solver_8h.html">ortools/sat/sat_solver.h</a>&quot;</span></div>
<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="symmetry_8h.html">ortools/sat/symmetry.h</a>&quot;</span></div>
<div class="line"><a name="l00031"></a><span class="lineno">   31</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="l00032"></a><span class="lineno">   32</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="bitset_8h.html">ortools/util/bitset.h</a>&quot;</span></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">   34</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespaceoperations__research.html">operations_research</a> {</div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="keyword">namespace </span>bop {</div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="keyword">namespace </span>{</div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160; </div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;using ::operations_research::glop::ColIndex;</div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<a class="code" href="namespaceoperations__research_1_1glop.html#a4dc8ae0f97c4110f3cc770715b2bbd12">using ::operations_research::glop::DenseRow</a>;</div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;using ::operations_research::glop::GlopParameters;</div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;using ::operations_research::glop::RowIndex;</div>
<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160; </div>
<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;<a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">BopOptimizerBase::Status</a> SolutionStatus(<span class="keyword">const</span> BopSolution&amp; solution,</div>
<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;                                        <a class="code" href="integral__types_8h.html#a7cde0074dfd288f2d70c0e035dacb28a">int64</a> lower_bound) {</div>
<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;  <span class="comment">// The lower bound might be greater that the cost of a feasible solution due</span></div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;  <span class="comment">// to rounding errors in the problem scaling and Glop.</span></div>
<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;  <span class="keywordflow">return</span> solution.IsFeasible() ? (solution.GetCost() &lt;= lower_bound</div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;                                      ? <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70bae276c6d6c33441e7bc41f349a9ba39e2">BopOptimizerBase::OPTIMAL_SOLUTION_FOUND</a></div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;                                      : <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba22ebbfba03095f407fb90f5a363a384b">BopOptimizerBase::SOLUTION_FOUND</a>)</div>
<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;                               : <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba72c2402449caa8f3edc8aa0a3816baed">BopOptimizerBase::LIMIT_REACHED</a>;</div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;}</div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160; </div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;<span class="keywordtype">bool</span> AllIntegralValues(<span class="keyword">const</span> <a class="code" href="namespaceoperations__research_1_1glop.html#a4dc8ae0f97c4110f3cc770715b2bbd12">DenseRow</a>&amp; values, <span class="keywordtype">double</span> tolerance) {</div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;  <span class="keywordflow">for</span> (<span class="keyword">const</span> <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">glop::Fractional</a> <a class="code" href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a> : values) {</div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    <span class="comment">// Note that this test is correct because in this part of the code, Bop</span></div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;    <span class="comment">// only deals with boolean variables.</span></div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;    <span class="keywordflow">if</span> (<a class="code" href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a> &gt;= tolerance &amp;&amp; <a class="code" href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a> + tolerance &lt; 1.0) {</div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;      <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;    }</div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;  }</div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;}</div>
<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160; </div>
<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;<span class="keywordtype">void</span> DenseRowToBopSolution(<span class="keyword">const</span> <a class="code" href="namespaceoperations__research_1_1glop.html#a4dc8ae0f97c4110f3cc770715b2bbd12">DenseRow</a>&amp; values, BopSolution* solution) {</div>
<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;  <a class="code" href="base_2logging_8h.html#a3e1cfef60e774a81f30eaddf26a3a274">CHECK</a>(solution != <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;  <a class="code" href="base_2logging_8h.html#a7c0ce053b28d53aa4eaf3eb7fb71663b">CHECK_EQ</a>(solution-&gt;Size(), values.size());</div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;  <span class="keywordflow">for</span> (VariableIndex <a class="code" href="expr__array_8cc.html#a472a99923cbe11ae7b5a5d157d9ad465">var</a>(0); <a class="code" href="expr__array_8cc.html#a472a99923cbe11ae7b5a5d157d9ad465">var</a> &lt; solution-&gt;Size(); ++<a class="code" href="expr__array_8cc.html#a472a99923cbe11ae7b5a5d157d9ad465">var</a>) {</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    solution-&gt;SetValue(<a class="code" href="expr__array_8cc.html#a472a99923cbe11ae7b5a5d157d9ad465">var</a>, round(values[ColIndex(<a class="code" href="expr__array_8cc.html#a472a99923cbe11ae7b5a5d157d9ad465">var</a>.value())]));</div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;  }</div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;}</div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;}  <span class="comment">// anonymous namespace</span></div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160; </div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;<span class="comment">//------------------------------------------------------------------------------</span></div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;<span class="comment">// GuidedSatFirstSolutionGenerator</span></div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;<span class="comment">//------------------------------------------------------------------------------</span></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"><a class="line" href="classoperations__research_1_1bop_1_1_guided_sat_first_solution_generator.html#a3416483a42a835b1803abcfd570b9271">   77</a></span>&#160;<a class="code" href="classoperations__research_1_1bop_1_1_guided_sat_first_solution_generator.html#a3416483a42a835b1803abcfd570b9271">GuidedSatFirstSolutionGenerator::GuidedSatFirstSolutionGenerator</a>(</div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;    <span class="keyword">const</span> std::string&amp; <a class="code" href="default__search_8cc.html#ac673bc430bdc3fdaa09f7becf98ef267">name</a>, <a class="code" href="classoperations__research_1_1bop_1_1_guided_sat_first_solution_generator.html#abb491487def337216dea442161545e72">Policy</a> policy)</div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;    : <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html">BopOptimizerBase</a>(<a class="code" href="default__search_8cc.html#ac673bc430bdc3fdaa09f7becf98ef267">name</a>),</div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;      policy_(policy),</div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;      abort_(false),</div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;      state_update_stamp_(<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html">ProblemState</a>::kInitialStampValue),</div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;      sat_solver_() {}</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"><a class="line" href="classoperations__research_1_1bop_1_1_guided_sat_first_solution_generator.html#a5a32089ec52d7ec29b30e1d164f21f14">   85</a></span>&#160;<a class="code" href="classoperations__research_1_1bop_1_1_guided_sat_first_solution_generator.html#a5a32089ec52d7ec29b30e1d164f21f14">GuidedSatFirstSolutionGenerator::~GuidedSatFirstSolutionGenerator</a>() {}</div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160; </div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;<a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">BopOptimizerBase::Status</a> GuidedSatFirstSolutionGenerator::SynchronizeIfNeeded(</div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html">ProblemState</a>&amp; problem_state) {</div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;  <span class="keywordflow">if</span> (state_update_stamp_ == problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#a05fdb14439563d77a1ce890279a7c762">update_stamp</a>()) {</div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba49959dd441dcda75d6898cf2c68fb374">BopOptimizerBase::CONTINUE</a>;</div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;  }</div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;  state_update_stamp_ = problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#a05fdb14439563d77a1ce890279a7c762">update_stamp</a>();</div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160; </div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;  <span class="comment">// Create the sat_solver if not already done.</span></div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;  <span class="keywordflow">if</span> (!sat_solver_) {</div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;    sat_solver_ = absl::make_unique&lt;sat::SatSolver&gt;();</div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160; </div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;    <span class="comment">// Add in symmetries.</span></div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    <span class="keywordflow">if</span> (problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#a09cb3e7138fa0717b6683fff4c8fa179">GetParameters</a>()</div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;            .exploit_symmetry_in_sat_first_solution()) {</div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;      std::vector&lt;std::unique_ptr&lt;SparsePermutation&gt;&gt; generators;</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;      <a class="code" href="namespaceoperations__research_1_1sat.html#a6986d13a746e6577bcf0cb190aef8113">sat::FindLinearBooleanProblemSymmetries</a>(problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#a1b5ceea7aa96a97466f8e91036367a5b">original_problem</a>(),</div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;                                              &amp;generators);</div>
<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;      std::unique_ptr&lt;sat::SymmetryPropagator&gt; propagator(</div>
<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;          <span class="keyword">new</span> <a class="code" href="classoperations__research_1_1sat_1_1_symmetry_propagator.html">sat::SymmetryPropagator</a>);</div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; generators.size(); ++i) {</div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;        propagator-&gt;AddSymmetry(std::move(generators[i]));</div>
<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;      }</div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;      sat_solver_-&gt;AddPropagator(propagator.get());</div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;      sat_solver_-&gt;TakePropagatorOwnership(std::move(propagator));</div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;    }</div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;  }</div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160; </div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">BopOptimizerBase::Status</a> load_status =</div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;      <a class="code" href="namespaceoperations__research_1_1bop.html#a2c3c1538ecc101963e5c92ff9bfb33bb">LoadStateProblemToSatSolver</a>(problem_state, sat_solver_.get());</div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;  <span class="keywordflow">if</span> (load_status != <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba49959dd441dcda75d6898cf2c68fb374">BopOptimizerBase::CONTINUE</a>) <span class="keywordflow">return</span> load_status;</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="keywordflow">switch</span> (policy_) {</div>
<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;    <span class="keywordflow">case</span> <a class="code" href="classoperations__research_1_1bop_1_1_guided_sat_first_solution_generator.html#abb491487def337216dea442161545e72abe3cf98bda0f221392a76da269cf4fd8">Policy::kNotGuided</a>:</div>
<div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;      <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;    <span class="keywordflow">case</span> <a class="code" href="classoperations__research_1_1bop_1_1_guided_sat_first_solution_generator.html#abb491487def337216dea442161545e72a3f0f0fd0a58407608ee43194b8bde37b">Policy::kLpGuided</a>:</div>
<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;      <span class="keywordflow">for</span> (ColIndex <a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>(0); <a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a> &lt; problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#a3879087a2b376a3a0557224e16c2c82c">lp_values</a>().size(); ++<a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>) {</div>
<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">double</span> <a class="code" href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a> = problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#a3879087a2b376a3a0557224e16c2c82c">lp_values</a>()[<a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>];</div>
<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;        sat_solver_-&gt;SetAssignmentPreference(</div>
<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;            sat::Literal(sat::BooleanVariable(<a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>.value()), round(<a class="code" href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a>) == 1),</div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;            1 - fabs(<a class="code" href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a> - round(<a class="code" href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a>)));</div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;      }</div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;      <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;    <span class="keywordflow">case</span> <a class="code" href="classoperations__research_1_1bop_1_1_guided_sat_first_solution_generator.html#abb491487def337216dea442161545e72ac5be1c29e0f1d21d4ed634bd969ea60d">Policy::kObjectiveGuided</a>:</div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;      <a class="code" href="namespaceoperations__research_1_1sat.html#a40254eb00d4590a09d811fe94c727c2a">UseObjectiveForSatAssignmentPreference</a>(problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#a1b5ceea7aa96a97466f8e91036367a5b">original_problem</a>(),</div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;                                             sat_solver_.get());</div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;      <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;    <span class="keywordflow">case</span> <a class="code" href="classoperations__research_1_1bop_1_1_guided_sat_first_solution_generator.html#abb491487def337216dea442161545e72a8be82401707aa36653dc3a55fa0e4c30">Policy::kUserGuided</a>:</div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#a1ed06d9386fc5510b8f78c745726f539">assignment_preference</a>().size(); ++i) {</div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;        sat_solver_-&gt;SetAssignmentPreference(</div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;            sat::Literal(sat::BooleanVariable(i),</div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;                         problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#a1ed06d9386fc5510b8f78c745726f539">assignment_preference</a>()[i]),</div>
<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;            1.0);</div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;      }</div>
<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;      <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;  }</div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;  <span class="keywordflow">return</span> <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba49959dd441dcda75d6898cf2c68fb374">BopOptimizerBase::CONTINUE</a>;</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; </div>
<div class="line"><a name="l00145"></a><span class="lineno"><a class="line" href="classoperations__research_1_1bop_1_1_guided_sat_first_solution_generator.html#a333c05e80843ee46f4428d3e6482b17e">  145</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1bop_1_1_guided_sat_first_solution_generator.html#a333c05e80843ee46f4428d3e6482b17e">GuidedSatFirstSolutionGenerator::ShouldBeRun</a>(</div>
<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;    <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html">ProblemState</a>&amp; problem_state)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;  <span class="keywordflow">if</span> (abort_) <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;  <span class="keywordflow">if</span> (policy_ == <a class="code" href="classoperations__research_1_1bop_1_1_guided_sat_first_solution_generator.html#abb491487def337216dea442161545e72a3f0f0fd0a58407608ee43194b8bde37b">Policy::kLpGuided</a> &amp;&amp; problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#a3879087a2b376a3a0557224e16c2c82c">lp_values</a>().<a class="code" href="classabsl_1_1_strong_vector.html#a644718bb2fb240de962dc3c9a1fdf0dc">empty</a>()) {</div>
<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;  }</div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;  <span class="keywordflow">if</span> (policy_ == <a class="code" href="classoperations__research_1_1bop_1_1_guided_sat_first_solution_generator.html#abb491487def337216dea442161545e72a8be82401707aa36653dc3a55fa0e4c30">Policy::kUserGuided</a> &amp;&amp;</div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;      problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#a1ed06d9386fc5510b8f78c745726f539">assignment_preference</a>().empty()) {</div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;  }</div>
<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;}</div>
<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160; </div>
<div class="line"><a name="l00158"></a><span class="lineno"><a class="line" href="classoperations__research_1_1bop_1_1_guided_sat_first_solution_generator.html#a8330ac820f311aab1b9c2c8057cc2c3f">  158</a></span>&#160;<a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">BopOptimizerBase::Status</a> <a class="code" href="classoperations__research_1_1bop_1_1_guided_sat_first_solution_generator.html#a8330ac820f311aab1b9c2c8057cc2c3f">GuidedSatFirstSolutionGenerator::Optimize</a>(</div>
<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;    <span class="keyword">const</span> BopParameters&amp; <a class="code" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>, <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html">ProblemState</a>&amp; problem_state,</div>
<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;    <a class="code" href="structoperations__research_1_1bop_1_1_learned_info.html">LearnedInfo</a>* learned_info, <a class="code" href="classoperations__research_1_1_time_limit.html">TimeLimit</a>* <a class="code" href="cp__model__solver_8cc.html#ac3cf9db02b23ea1455b5ae6955d03e47">time_limit</a>) {</div>
<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;  <a class="code" href="base_2logging_8h.html#a3e1cfef60e774a81f30eaddf26a3a274">CHECK</a>(learned_info != <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;  <a class="code" href="base_2logging_8h.html#a3e1cfef60e774a81f30eaddf26a3a274">CHECK</a>(<a class="code" href="cp__model__solver_8cc.html#ac3cf9db02b23ea1455b5ae6955d03e47">time_limit</a> != <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;  learned_info-&gt;<a class="code" href="structoperations__research_1_1bop_1_1_learned_info.html#aa71d36872f416feaa853788a7a7a7ef8">Clear</a>();</div>
<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160; </div>
<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">BopOptimizerBase::Status</a> sync_status =</div>
<div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;      SynchronizeIfNeeded(problem_state);</div>
<div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;  <span class="keywordflow">if</span> (sync_status != <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba49959dd441dcda75d6898cf2c68fb374">BopOptimizerBase::CONTINUE</a>) <span class="keywordflow">return</span> sync_status;</div>
<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160; </div>
<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;  sat::SatParameters sat_params;</div>
<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;  sat_params.set_max_time_in_seconds(<a class="code" href="cp__model__solver_8cc.html#ac3cf9db02b23ea1455b5ae6955d03e47">time_limit</a>-&gt;GetTimeLeft());</div>
<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;  sat_params.set_max_deterministic_time(<a class="code" href="cp__model__solver_8cc.html#ac3cf9db02b23ea1455b5ae6955d03e47">time_limit</a>-&gt;GetDeterministicTimeLeft());</div>
<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;  sat_params.set_random_seed(<a class="code" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>.random_seed());</div>
<div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160; </div>
<div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;  <span class="comment">// We use a relatively small conflict limit so that other optimizer get a</span></div>
<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;  <span class="comment">// chance to run if this one is slow. Note that if this limit is reached, we</span></div>
<div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;  <span class="comment">// will return BopOptimizerBase::CONTINUE so that Optimize() will be called</span></div>
<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;  <span class="comment">// again later to resume the current work.</span></div>
<div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;  sat_params.set_max_number_of_conflicts(</div>
<div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;      <a class="code" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>.guided_sat_conflicts_chunk());</div>
<div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;  sat_solver_-&gt;SetParameters(sat_params);</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="keyword">const</span> <span class="keywordtype">double</span> initial_deterministic_time = sat_solver_-&gt;deterministic_time();</div>
<div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1sat_1_1_sat_solver.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">sat::SatSolver::Status</a> sat_status = sat_solver_-&gt;Solve();</div>
<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;  <a class="code" href="cp__model__solver_8cc.html#ac3cf9db02b23ea1455b5ae6955d03e47">time_limit</a>-&gt;AdvanceDeterministicTime(sat_solver_-&gt;deterministic_time() -</div>
<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;                                       initial_deterministic_time);</div>
<div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160; </div>
<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;  <span class="keywordflow">if</span> (sat_status == <a class="code" href="classoperations__research_1_1sat_1_1_sat_solver.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba2884fa43446c0cbc9c7a9b74d41d7483">sat::SatSolver::INFEASIBLE</a>) {</div>
<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;    <span class="keywordflow">if</span> (policy_ != <a class="code" href="classoperations__research_1_1bop_1_1_guided_sat_first_solution_generator.html#abb491487def337216dea442161545e72abe3cf98bda0f221392a76da269cf4fd8">Policy::kNotGuided</a>) abort_ = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;    <span class="keywordflow">if</span> (problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#ab1661bb9ca5502ddef357acbda49b0ed">upper_bound</a>() != <a class="code" href="integral__types_8h.html#a74ea76ea27f48fb1b6e148e1577b3719">kint64max</a>) {</div>
<div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;      <span class="comment">// As the solution in the state problem is feasible, it is proved optimal.</span></div>
<div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;      learned_info-&gt;<a class="code" href="structoperations__research_1_1bop_1_1_learned_info.html#ad9847fd6c05481cd3c2d5ca7471b8e7f">lower_bound</a> = problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#ab1661bb9ca5502ddef357acbda49b0ed">upper_bound</a>();</div>
<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;      <span class="keywordflow">return</span> <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70bae276c6d6c33441e7bc41f349a9ba39e2">BopOptimizerBase::OPTIMAL_SOLUTION_FOUND</a>;</div>
<div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;    }</div>
<div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;    <span class="comment">// The problem is proved infeasible</span></div>
<div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba2884fa43446c0cbc9c7a9b74d41d7483">BopOptimizerBase::INFEASIBLE</a>;</div>
<div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;  }</div>
<div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160; </div>
<div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;  <a class="code" href="namespaceoperations__research_1_1bop.html#a717f3da5a33db3ffe67861f8731b254a">ExtractLearnedInfoFromSatSolver</a>(sat_solver_.get(), learned_info);</div>
<div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;  <span class="keywordflow">if</span> (sat_status == <a class="code" href="classoperations__research_1_1sat_1_1_sat_solver.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba03f919221217f95d21a593a7120165e1">sat::SatSolver::FEASIBLE</a>) {</div>
<div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;    <a class="code" href="namespaceoperations__research_1_1bop.html#a49c2b7c159260e338438fc2e167a0c3d">SatAssignmentToBopSolution</a>(sat_solver_-&gt;Assignment(),</div>
<div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;                               &amp;learned_info-&gt;<a class="code" href="structoperations__research_1_1bop_1_1_learned_info.html#aa055411f4c53125132922079d33e535f">solution</a>);</div>
<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;    <span class="keywordflow">return</span> SolutionStatus(learned_info-&gt;<a class="code" href="structoperations__research_1_1bop_1_1_learned_info.html#aa055411f4c53125132922079d33e535f">solution</a>, problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#a8572b15c9721e90e09d8ee61c4960395">lower_bound</a>());</div>
<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;  }</div>
<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160; </div>
<div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;  <span class="keywordflow">return</span> <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba49959dd441dcda75d6898cf2c68fb374">BopOptimizerBase::CONTINUE</a>;</div>
<div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;}</div>
<div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160; </div>
<div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;<span class="comment">//------------------------------------------------------------------------------</span></div>
<div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;<span class="comment">// BopRandomFirstSolutionGenerator</span></div>
<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;<span class="comment">//------------------------------------------------------------------------------</span></div>
<div class="line"><a name="l00211"></a><span class="lineno"><a class="line" href="classoperations__research_1_1bop_1_1_bop_random_first_solution_generator.html#a75867bf55193845e840cc7cbdbdce8c1">  211</a></span>&#160;<a class="code" href="classoperations__research_1_1bop_1_1_bop_random_first_solution_generator.html#a75867bf55193845e840cc7cbdbdce8c1">BopRandomFirstSolutionGenerator::BopRandomFirstSolutionGenerator</a>(</div>
<div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;    <span class="keyword">const</span> std::string&amp; <a class="code" href="default__search_8cc.html#ac673bc430bdc3fdaa09f7becf98ef267">name</a>, <span class="keyword">const</span> BopParameters&amp; <a class="code" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>,</div>
<div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;    <a class="code" href="classoperations__research_1_1sat_1_1_sat_solver.html">sat::SatSolver</a>* sat_propagator, <a class="code" href="classoperations__research_1_1_m_t_random.html">MTRandom</a>* random)</div>
<div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;    : <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html">BopOptimizerBase</a>(<a class="code" href="default__search_8cc.html#ac673bc430bdc3fdaa09f7becf98ef267">name</a>),</div>
<div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;      random_(random),</div>
<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;      sat_propagator_(sat_propagator) {}</div>
<div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160; </div>
<div class="line"><a name="l00218"></a><span class="lineno"><a class="line" href="classoperations__research_1_1bop_1_1_bop_random_first_solution_generator.html#a9790287c83013442016e37457149fa58">  218</a></span>&#160;<a class="code" href="classoperations__research_1_1bop_1_1_bop_random_first_solution_generator.html#a9790287c83013442016e37457149fa58">BopRandomFirstSolutionGenerator::~BopRandomFirstSolutionGenerator</a>() {}</div>
<div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160; </div>
<div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;<span class="comment">// Only run the RandomFirstSolution when there is an objective to minimize.</span></div>
<div class="line"><a name="l00221"></a><span class="lineno"><a class="line" href="classoperations__research_1_1bop_1_1_bop_random_first_solution_generator.html#a333c05e80843ee46f4428d3e6482b17e">  221</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1bop_1_1_bop_random_first_solution_generator.html#a333c05e80843ee46f4428d3e6482b17e">BopRandomFirstSolutionGenerator::ShouldBeRun</a>(</div>
<div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;    <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html">ProblemState</a>&amp; problem_state)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;  <span class="keywordflow">return</span> problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#a1b5ceea7aa96a97466f8e91036367a5b">original_problem</a>().objective().literals_size() &gt; 0;</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; </div>
<div class="line"><a name="l00226"></a><span class="lineno"><a class="line" href="classoperations__research_1_1bop_1_1_bop_random_first_solution_generator.html#a8330ac820f311aab1b9c2c8057cc2c3f">  226</a></span>&#160;<a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">BopOptimizerBase::Status</a> <a class="code" href="classoperations__research_1_1bop_1_1_bop_random_first_solution_generator.html#a8330ac820f311aab1b9c2c8057cc2c3f">BopRandomFirstSolutionGenerator::Optimize</a>(</div>
<div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;    <span class="keyword">const</span> BopParameters&amp; <a class="code" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>, <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html">ProblemState</a>&amp; problem_state,</div>
<div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;    <a class="code" href="structoperations__research_1_1bop_1_1_learned_info.html">LearnedInfo</a>* learned_info, <a class="code" href="classoperations__research_1_1_time_limit.html">TimeLimit</a>* <a class="code" href="cp__model__solver_8cc.html#ac3cf9db02b23ea1455b5ae6955d03e47">time_limit</a>) {</div>
<div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;  <a class="code" href="base_2logging_8h.html#a3e1cfef60e774a81f30eaddf26a3a274">CHECK</a>(learned_info != <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;  <a class="code" href="base_2logging_8h.html#a3e1cfef60e774a81f30eaddf26a3a274">CHECK</a>(<a class="code" href="cp__model__solver_8cc.html#ac3cf9db02b23ea1455b5ae6955d03e47">time_limit</a> != <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;  learned_info-&gt;<a class="code" href="structoperations__research_1_1bop_1_1_learned_info.html#aa71d36872f416feaa853788a7a7a7ef8">Clear</a>();</div>
<div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160; </div>
<div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;  <span class="comment">// Save the current solver heuristics.</span></div>
<div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;  <span class="keyword">const</span> sat::SatParameters saved_params = sat_propagator_-&gt;<a class="code" href="classoperations__research_1_1sat_1_1_sat_solver.html#a1a5e26554d014197de9434d2c39e07e9">parameters</a>();</div>
<div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;  <span class="keyword">const</span> std::vector&lt;std::pair&lt;sat::Literal, double&gt;&gt; saved_prefs =</div>
<div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;      sat_propagator_-&gt;<a class="code" href="classoperations__research_1_1sat_1_1_sat_solver.html#a05725f6398ef1b0d50c87c4d9e719260">AllPreferences</a>();</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="keyword">const</span> <span class="keywordtype">int</span> kMaxNumConflicts = 10;</div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;  <a class="code" href="integral__types_8h.html#a7cde0074dfd288f2d70c0e035dacb28a">int64</a> best_cost = problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#ac59ff8f3b21bdac22c9c53a7d82ba3ec">solution</a>().<a class="code" href="classoperations__research_1_1bop_1_1_bop_solution.html#a894d87c5fddfc463c3ca3c779ba7f997">IsFeasible</a>()</div>
<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;                        ? problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#ac59ff8f3b21bdac22c9c53a7d82ba3ec">solution</a>().<a class="code" href="classoperations__research_1_1bop_1_1_bop_solution.html#addc792cd6ed6abf01b5018c4832a4681">GetCost</a>()</div>
<div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;                        : <a class="code" href="integral__types_8h.html#a74ea76ea27f48fb1b6e148e1577b3719">kint64max</a>;</div>
<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;  <a class="code" href="integral__types_8h.html#a7cde0074dfd288f2d70c0e035dacb28a">int64</a> remaining_num_conflicts =</div>
<div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;      <a class="code" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>.max_number_of_conflicts_in_random_solution_generation();</div>
<div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;  <a class="code" href="integral__types_8h.html#a7cde0074dfd288f2d70c0e035dacb28a">int64</a> old_num_failures = 0;</div>
<div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160; </div>
<div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;  <span class="comment">// Optimization: Since each Solve() is really fast, we want to limit as</span></div>
<div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;  <span class="comment">// much as possible the work around one.</span></div>
<div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;  <span class="keywordtype">bool</span> objective_need_to_be_overconstrained = (best_cost != <a class="code" href="integral__types_8h.html#a74ea76ea27f48fb1b6e148e1577b3719">kint64max</a>);</div>
<div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160; </div>
<div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;  <span class="keywordtype">bool</span> solution_found = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;  <span class="keywordflow">while</span> (remaining_num_conflicts &gt; 0 &amp;&amp; !<a class="code" href="cp__model__solver_8cc.html#ac3cf9db02b23ea1455b5ae6955d03e47">time_limit</a>-&gt;LimitReached()) {</div>
<div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;    sat_propagator_-&gt;<a class="code" href="classoperations__research_1_1sat_1_1_sat_solver.html#ac035378cea0ed7b0978105547402faa8">Backtrack</a>(0);</div>
<div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;    old_num_failures = sat_propagator_-&gt;<a class="code" href="classoperations__research_1_1sat_1_1_sat_solver.html#a42c1fced0014f47ce16a512d454cee0f">num_failures</a>();</div>
<div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160; </div>
<div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;    sat::SatParameters sat_params = saved_params;</div>
<div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;    <a class="code" href="namespaceoperations__research_1_1sat.html#aef1ea7e6296a28c0fa0752328d8cb900">sat::RandomizeDecisionHeuristic</a>(random_, &amp;sat_params);</div>
<div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;    sat_params.set_max_number_of_conflicts(kMaxNumConflicts);</div>
<div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;    sat_propagator_-&gt;<a class="code" href="classoperations__research_1_1sat_1_1_sat_solver.html#a9d584b84d7b882a6017b072b33475172">SetParameters</a>(sat_params);</div>
<div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;    sat_propagator_-&gt;<a class="code" href="classoperations__research_1_1sat_1_1_sat_solver.html#a1dc177ee88f0a7ce2e46a032e5c3cf02">ResetDecisionHeuristic</a>();</div>
<div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160; </div>
<div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;    <span class="keywordflow">if</span> (objective_need_to_be_overconstrained) {</div>
<div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;      <span class="keywordflow">if</span> (!<a class="code" href="namespaceoperations__research_1_1sat.html#a07c4372fa55782d13edd24b86130e3ba">AddObjectiveConstraint</a>(</div>
<div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;              problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#a1b5ceea7aa96a97466f8e91036367a5b">original_problem</a>(), <span class="keyword">false</span>, sat::Coefficient(0),</div>
<div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;              <span class="keyword">true</span>, sat::Coefficient(best_cost) - 1, sat_propagator_)) {</div>
<div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;        <span class="comment">// The solution is proved optimal (if any).</span></div>
<div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;        learned_info-&gt;<a class="code" href="structoperations__research_1_1bop_1_1_learned_info.html#ad9847fd6c05481cd3c2d5ca7471b8e7f">lower_bound</a> = best_cost;</div>
<div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;        <span class="keywordflow">return</span> best_cost == <a class="code" href="integral__types_8h.html#a74ea76ea27f48fb1b6e148e1577b3719">kint64max</a></div>
<div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;                   ? <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba2884fa43446c0cbc9c7a9b74d41d7483">BopOptimizerBase::INFEASIBLE</a></div>
<div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;                   : <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70bae276c6d6c33441e7bc41f349a9ba39e2">BopOptimizerBase::OPTIMAL_SOLUTION_FOUND</a>;</div>
<div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;      }</div>
<div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;      objective_need_to_be_overconstrained = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;    }</div>
<div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160; </div>
<div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;    <span class="comment">// Special assignment preference parameters.</span></div>
<div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> preference = random_-&gt;<a class="code" href="classoperations__research_1_1_a_c_m_random.html#aafba9e8335b3dda5b131589cf852f414">Uniform</a>(4);</div>
<div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;    <span class="keywordflow">if</span> (preference == 0) {</div>
<div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;      <a class="code" href="namespaceoperations__research_1_1sat.html#a40254eb00d4590a09d811fe94c727c2a">UseObjectiveForSatAssignmentPreference</a>(problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#a1b5ceea7aa96a97466f8e91036367a5b">original_problem</a>(),</div>
<div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;                                             sat_propagator_);</div>
<div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;    } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (preference == 1 &amp;&amp; !problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#a3879087a2b376a3a0557224e16c2c82c">lp_values</a>().<a class="code" href="classabsl_1_1_strong_vector.html#a644718bb2fb240de962dc3c9a1fdf0dc">empty</a>()) {</div>
<div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;      <span class="comment">// Assign SAT assignment preference based on the LP solution.</span></div>
<div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;      <span class="keywordflow">for</span> (ColIndex <a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>(0); <a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a> &lt; problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#a3879087a2b376a3a0557224e16c2c82c">lp_values</a>().size(); ++<a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>) {</div>
<div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">double</span> <a class="code" href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a> = problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#a3879087a2b376a3a0557224e16c2c82c">lp_values</a>()[<a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>];</div>
<div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;        sat_propagator_-&gt;<a class="code" href="classoperations__research_1_1sat_1_1_sat_solver.html#a955786dcbe82b7c4dc9924a5473ac1e8">SetAssignmentPreference</a>(</div>
<div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;            <a class="code" href="classoperations__research_1_1sat_1_1_literal.html">sat::Literal</a>(sat::BooleanVariable(<a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>.value()), round(<a class="code" href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a>) == 1),</div>
<div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;            1 - fabs(<a class="code" href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a> - round(<a class="code" href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a>)));</div>
<div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;      }</div>
<div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;    }</div>
<div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160; </div>
<div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;    <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1sat_1_1_sat_solver.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">sat::SatSolver::Status</a> sat_status =</div>
<div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;        sat_propagator_-&gt;<a class="code" href="classoperations__research_1_1sat_1_1_sat_solver.html#a27e14216f4d9330375fc0089a1919f20">SolveWithTimeLimit</a>(<a class="code" href="cp__model__solver_8cc.html#ac3cf9db02b23ea1455b5ae6955d03e47">time_limit</a>);</div>
<div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;    <span class="keywordflow">if</span> (sat_status == <a class="code" href="classoperations__research_1_1sat_1_1_sat_solver.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba03f919221217f95d21a593a7120165e1">sat::SatSolver::FEASIBLE</a>) {</div>
<div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;      objective_need_to_be_overconstrained = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;      solution_found = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;      <a class="code" href="namespaceoperations__research_1_1bop.html#a49c2b7c159260e338438fc2e167a0c3d">SatAssignmentToBopSolution</a>(sat_propagator_-&gt;<a class="code" href="classoperations__research_1_1sat_1_1_sat_solver.html#a9789bf03dba611e9be5679d6e902d0c8">Assignment</a>(),</div>
<div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;                                 &amp;learned_info-&gt;<a class="code" href="structoperations__research_1_1bop_1_1_learned_info.html#aa055411f4c53125132922079d33e535f">solution</a>);</div>
<div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;      <a class="code" href="base_2logging_8h.html#a4bd2e815ca2f702a4b6aa744b1ff3b82">CHECK_LT</a>(learned_info-&gt;<a class="code" href="structoperations__research_1_1bop_1_1_learned_info.html#aa055411f4c53125132922079d33e535f">solution</a>.<a class="code" href="classoperations__research_1_1bop_1_1_bop_solution.html#addc792cd6ed6abf01b5018c4832a4681">GetCost</a>(), best_cost);</div>
<div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;      best_cost = learned_info-&gt;<a class="code" href="structoperations__research_1_1bop_1_1_learned_info.html#aa055411f4c53125132922079d33e535f">solution</a>.<a class="code" href="classoperations__research_1_1bop_1_1_bop_solution.html#addc792cd6ed6abf01b5018c4832a4681">GetCost</a>();</div>
<div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;    } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (sat_status == <a class="code" href="classoperations__research_1_1sat_1_1_sat_solver.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba2884fa43446c0cbc9c7a9b74d41d7483">sat::SatSolver::INFEASIBLE</a>) {</div>
<div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;      <span class="comment">// The solution is proved optimal (if any).</span></div>
<div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;      learned_info-&gt;<a class="code" href="structoperations__research_1_1bop_1_1_learned_info.html#ad9847fd6c05481cd3c2d5ca7471b8e7f">lower_bound</a> = best_cost;</div>
<div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;      <span class="keywordflow">return</span> best_cost == <a class="code" href="integral__types_8h.html#a74ea76ea27f48fb1b6e148e1577b3719">kint64max</a> ? <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba2884fa43446c0cbc9c7a9b74d41d7483">BopOptimizerBase::INFEASIBLE</a></div>
<div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;                                    : <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70bae276c6d6c33441e7bc41f349a9ba39e2">BopOptimizerBase::OPTIMAL_SOLUTION_FOUND</a>;</div>
<div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;    }</div>
<div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160; </div>
<div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;    <span class="comment">// The number of failure is a good approximation of the number of conflicts.</span></div>
<div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;    <span class="comment">// Note that the number of failures of the SAT solver is not reinitialized.</span></div>
<div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;    remaining_num_conflicts -=</div>
<div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;        sat_propagator_-&gt;<a class="code" href="classoperations__research_1_1sat_1_1_sat_solver.html#a42c1fced0014f47ce16a512d454cee0f">num_failures</a>() - old_num_failures;</div>
<div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;  }</div>
<div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160; </div>
<div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;  <span class="comment">// Restore sat_propagator_ to its original state.</span></div>
<div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;  <span class="comment">// Note that if the function is aborted before that, it means we solved the</span></div>
<div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;  <span class="comment">// problem to optimality (or proven it to be infeasible), so we don&#39;t need</span></div>
<div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;  <span class="comment">// to do any extra work in these cases since the sat_propagator_ will not be</span></div>
<div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;  <span class="comment">// used anymore.</span></div>
<div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;  <a class="code" href="base_2logging_8h.html#a7c0ce053b28d53aa4eaf3eb7fb71663b">CHECK_EQ</a>(0, sat_propagator_-&gt;<a class="code" href="classoperations__research_1_1sat_1_1_sat_solver.html#a88dcaf0cf27bb4991376ed54d8f2698f">AssumptionLevel</a>());</div>
<div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;  sat_propagator_-&gt;<a class="code" href="classoperations__research_1_1sat_1_1_sat_solver.html#ac714aeb75f0f6dd87e52e5d1a0d6edc7">RestoreSolverToAssumptionLevel</a>();</div>
<div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;  sat_propagator_-&gt;<a class="code" href="classoperations__research_1_1sat_1_1_sat_solver.html#a9d584b84d7b882a6017b072b33475172">SetParameters</a>(saved_params);</div>
<div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;  sat_propagator_-&gt;<a class="code" href="classoperations__research_1_1sat_1_1_sat_solver.html#a1cf106c907fb0a4114a08a76ae2e874f">ResetDecisionHeuristicAndSetAllPreferences</a>(saved_prefs);</div>
<div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160; </div>
<div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;  <span class="comment">// This can be proved during the call to RestoreSolverToAssumptionLevel().</span></div>
<div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;  <span class="keywordflow">if</span> (sat_propagator_-&gt;<a class="code" href="classoperations__research_1_1sat_1_1_sat_solver.html#ad2a33e1d9335cce63548abed6b5c8aab">IsModelUnsat</a>()) {</div>
<div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;    <span class="comment">// The solution is proved optimal (if any).</span></div>
<div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;    learned_info-&gt;<a class="code" href="structoperations__research_1_1bop_1_1_learned_info.html#ad9847fd6c05481cd3c2d5ca7471b8e7f">lower_bound</a> = best_cost;</div>
<div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;    <span class="keywordflow">return</span> best_cost == <a class="code" href="integral__types_8h.html#a74ea76ea27f48fb1b6e148e1577b3719">kint64max</a> ? <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba2884fa43446c0cbc9c7a9b74d41d7483">BopOptimizerBase::INFEASIBLE</a></div>
<div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;                                  : <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70bae276c6d6c33441e7bc41f349a9ba39e2">BopOptimizerBase::OPTIMAL_SOLUTION_FOUND</a>;</div>
<div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;  }</div>
<div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160; </div>
<div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;  <a class="code" href="namespaceoperations__research_1_1bop.html#a717f3da5a33db3ffe67861f8731b254a">ExtractLearnedInfoFromSatSolver</a>(sat_propagator_, learned_info);</div>
<div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160; </div>
<div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;  <span class="keywordflow">return</span> solution_found ? <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba22ebbfba03095f407fb90f5a363a384b">BopOptimizerBase::SOLUTION_FOUND</a></div>
<div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;                        : <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba72c2402449caa8f3edc8aa0a3816baed">BopOptimizerBase::LIMIT_REACHED</a>;</div>
<div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;}</div>
<div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160; </div>
<div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;<span class="comment">//------------------------------------------------------------------------------</span></div>
<div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;<span class="comment">// LinearRelaxation</span></div>
<div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;<span class="comment">//------------------------------------------------------------------------------</span></div>
<div class="line"><a name="l00338"></a><span class="lineno"><a class="line" href="classoperations__research_1_1bop_1_1_linear_relaxation.html#a8dcd99fe18446bb871246433178a5235">  338</a></span>&#160;<a class="code" href="classoperations__research_1_1bop_1_1_linear_relaxation.html#a8dcd99fe18446bb871246433178a5235">LinearRelaxation::LinearRelaxation</a>(<span class="keyword">const</span> BopParameters&amp; <a class="code" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>,</div>
<div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160;                                   <span class="keyword">const</span> std::string&amp; <a class="code" href="default__search_8cc.html#ac673bc430bdc3fdaa09f7becf98ef267">name</a>)</div>
<div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;    : <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html">BopOptimizerBase</a>(<a class="code" href="default__search_8cc.html#ac673bc430bdc3fdaa09f7becf98ef267">name</a>),</div>
<div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160;      parameters_(<a class="code" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>),</div>
<div class="line"><a name="l00342"></a><span class="lineno">  342</span>&#160;      state_update_stamp_(<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html">ProblemState</a>::kInitialStampValue),</div>
<div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;      lp_model_loaded_(false),</div>
<div class="line"><a name="l00344"></a><span class="lineno">  344</span>&#160;      num_full_solves_(0),</div>
<div class="line"><a name="l00345"></a><span class="lineno">  345</span>&#160;      lp_model_(),</div>
<div class="line"><a name="l00346"></a><span class="lineno">  346</span>&#160;      lp_solver_(),</div>
<div class="line"><a name="l00347"></a><span class="lineno">  347</span>&#160;      scaling_(1),</div>
<div class="line"><a name="l00348"></a><span class="lineno">  348</span>&#160;      <a class="code" href="interval_8cc.html#a1e6e18599bc7057307916e1f810f83a8">offset_</a>(0),</div>
<div class="line"><a name="l00349"></a><span class="lineno">  349</span>&#160;      num_fixed_variables_(-1),</div>
<div class="line"><a name="l00350"></a><span class="lineno">  350</span>&#160;      problem_already_solved_(false),</div>
<div class="line"><a name="l00351"></a><span class="lineno">  351</span>&#160;      scaled_solution_cost_(glop::<a class="code" href="namespaceoperations__research_1_1glop.html#af9a790b7e8c5b0c6d55b336177378e78">kInfinity</a>) {}</div>
<div class="line"><a name="l00352"></a><span class="lineno">  352</span>&#160; </div>
<div class="line"><a name="l00353"></a><span class="lineno"><a class="line" href="classoperations__research_1_1bop_1_1_linear_relaxation.html#ab128c472edf63eacbd2712f97ec55072">  353</a></span>&#160;<a class="code" href="classoperations__research_1_1bop_1_1_linear_relaxation.html#ab128c472edf63eacbd2712f97ec55072">LinearRelaxation::~LinearRelaxation</a>() {}</div>
<div class="line"><a name="l00354"></a><span class="lineno">  354</span>&#160; </div>
<div class="line"><a name="l00355"></a><span class="lineno">  355</span>&#160;<a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">BopOptimizerBase::Status</a> LinearRelaxation::SynchronizeIfNeeded(</div>
<div class="line"><a name="l00356"></a><span class="lineno">  356</span>&#160;    <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html">ProblemState</a>&amp; problem_state) {</div>
<div class="line"><a name="l00357"></a><span class="lineno">  357</span>&#160;  <span class="keywordflow">if</span> (state_update_stamp_ == problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#a05fdb14439563d77a1ce890279a7c762">update_stamp</a>()) {</div>
<div class="line"><a name="l00358"></a><span class="lineno">  358</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba49959dd441dcda75d6898cf2c68fb374">BopOptimizerBase::CONTINUE</a>;</div>
<div class="line"><a name="l00359"></a><span class="lineno">  359</span>&#160;  }</div>
<div class="line"><a name="l00360"></a><span class="lineno">  360</span>&#160;  state_update_stamp_ = problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#a05fdb14439563d77a1ce890279a7c762">update_stamp</a>();</div>
<div class="line"><a name="l00361"></a><span class="lineno">  361</span>&#160; </div>
<div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160;  <span class="comment">// If this is a pure feasibility problem, obey</span></div>
<div class="line"><a name="l00363"></a><span class="lineno">  363</span>&#160;  <span class="comment">// `BopParameters.max_lp_solve_for_feasibility_problems`.</span></div>
<div class="line"><a name="l00364"></a><span class="lineno">  364</span>&#160;  <span class="keywordflow">if</span> (problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#a1b5ceea7aa96a97466f8e91036367a5b">original_problem</a>().objective().literals_size() == 0 &amp;&amp;</div>
<div class="line"><a name="l00365"></a><span class="lineno">  365</span>&#160;      parameters_.max_lp_solve_for_feasibility_problems() &gt;= 0 &amp;&amp;</div>
<div class="line"><a name="l00366"></a><span class="lineno">  366</span>&#160;      num_full_solves_ &gt;= parameters_.max_lp_solve_for_feasibility_problems()) {</div>
<div class="line"><a name="l00367"></a><span class="lineno">  367</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba781ad2788df9e25c59a70894c7832096">BopOptimizerBase::ABORT</a>;</div>
<div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160;  }</div>
<div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160; </div>
<div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160;  <span class="comment">// Check if the number of fixed variables is greater than last time.</span></div>
<div class="line"><a name="l00371"></a><span class="lineno">  371</span>&#160;  <span class="comment">// TODO(user): Consider checking changes in number of conflicts too.</span></div>
<div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;  <span class="keywordtype">int</span> num_fixed_variables = 0;</div>
<div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160;  <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keywordtype">bool</span> is_fixed : problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#aeaca226d7e7f24e77774648e93088b5f">is_fixed</a>()) {</div>
<div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160;    <span class="keywordflow">if</span> (is_fixed) {</div>
<div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160;      ++num_fixed_variables;</div>
<div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160;    }</div>
<div class="line"><a name="l00377"></a><span class="lineno">  377</span>&#160;  }</div>
<div class="line"><a name="l00378"></a><span class="lineno">  378</span>&#160;  problem_already_solved_ =</div>
<div class="line"><a name="l00379"></a><span class="lineno">  379</span>&#160;      problem_already_solved_ &amp;&amp; num_fixed_variables_ &gt;= num_fixed_variables;</div>
<div class="line"><a name="l00380"></a><span class="lineno">  380</span>&#160;  <span class="keywordflow">if</span> (problem_already_solved_) <span class="keywordflow">return</span> <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba781ad2788df9e25c59a70894c7832096">BopOptimizerBase::ABORT</a>;</div>
<div class="line"><a name="l00381"></a><span class="lineno">  381</span>&#160; </div>
<div class="line"><a name="l00382"></a><span class="lineno">  382</span>&#160;  <span class="comment">// Create the LP model based on the current problem state.</span></div>
<div class="line"><a name="l00383"></a><span class="lineno">  383</span>&#160;  num_fixed_variables_ = num_fixed_variables;</div>
<div class="line"><a name="l00384"></a><span class="lineno">  384</span>&#160;  <span class="keywordflow">if</span> (!lp_model_loaded_) {</div>
<div class="line"><a name="l00385"></a><span class="lineno">  385</span>&#160;    lp_model_.<a class="code" href="classoperations__research_1_1glop_1_1_linear_program.html#aa71d36872f416feaa853788a7a7a7ef8">Clear</a>();</div>
<div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;    <a class="code" href="namespaceoperations__research_1_1sat.html#a4591e100a0f29a249169e5833995cd31">sat::ConvertBooleanProblemToLinearProgram</a>(problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#a1b5ceea7aa96a97466f8e91036367a5b">original_problem</a>(),</div>
<div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;                                              &amp;lp_model_);</div>
<div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;    lp_model_loaded_ = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;  }</div>
<div class="line"><a name="l00390"></a><span class="lineno">  390</span>&#160;  <span class="keywordflow">for</span> (VariableIndex <a class="code" href="expr__array_8cc.html#a472a99923cbe11ae7b5a5d157d9ad465">var</a>(0); <a class="code" href="expr__array_8cc.html#a472a99923cbe11ae7b5a5d157d9ad465">var</a> &lt; problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#aeaca226d7e7f24e77774648e93088b5f">is_fixed</a>().size(); ++<a class="code" href="expr__array_8cc.html#a472a99923cbe11ae7b5a5d157d9ad465">var</a>) {</div>
<div class="line"><a name="l00391"></a><span class="lineno">  391</span>&#160;    <span class="keywordflow">if</span> (problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#a64ae791bca42eca0e2155e81c36420c1">IsVariableFixed</a>(<a class="code" href="expr__array_8cc.html#a472a99923cbe11ae7b5a5d157d9ad465">var</a>)) {</div>
<div class="line"><a name="l00392"></a><span class="lineno">  392</span>&#160;      <span class="keyword">const</span> <a class="code" href="namespaceoperations__research_1_1glop.html#a733947145e3e1631165b618b05c9ccb7">glop::Fractional</a> <a class="code" href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a> =</div>
<div class="line"><a name="l00393"></a><span class="lineno">  393</span>&#160;          problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#aa27fa90c75da28fa722a8390d031a604">GetVariableFixedValue</a>(<a class="code" href="expr__array_8cc.html#a472a99923cbe11ae7b5a5d157d9ad465">var</a>) ? 1.0 : 0.0;</div>
<div class="line"><a name="l00394"></a><span class="lineno">  394</span>&#160;      lp_model_.<a class="code" href="classoperations__research_1_1glop_1_1_linear_program.html#a0fe7ba825c8c6cd1efdcff6dec631093">SetVariableBounds</a>(ColIndex(<a class="code" href="expr__array_8cc.html#a472a99923cbe11ae7b5a5d157d9ad465">var</a>.value()), <a class="code" href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a>, <a class="code" href="demon__profiler_8cc.html#a21edc7ca4cc5802c8779d68556bc09cf">value</a>);</div>
<div class="line"><a name="l00395"></a><span class="lineno">  395</span>&#160;    }</div>
<div class="line"><a name="l00396"></a><span class="lineno">  396</span>&#160;  }</div>
<div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160; </div>
<div class="line"><a name="l00398"></a><span class="lineno">  398</span>&#160;  <span class="comment">// Add learned binary clauses.</span></div>
<div class="line"><a name="l00399"></a><span class="lineno">  399</span>&#160;  <span class="keywordflow">if</span> (parameters_.use_learned_binary_clauses_in_lp()) {</div>
<div class="line"><a name="l00400"></a><span class="lineno">  400</span>&#160;    <span class="keywordflow">for</span> (<span class="keyword">const</span> sat::BinaryClause&amp; clause :</div>
<div class="line"><a name="l00401"></a><span class="lineno">  401</span>&#160;         problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#a502bf851b64f372f3388d57abbb2fee4">NewlyAddedBinaryClauses</a>()) {</div>
<div class="line"><a name="l00402"></a><span class="lineno">  402</span>&#160;      <span class="keyword">const</span> RowIndex constraint_index = lp_model_.<a class="code" href="classoperations__research_1_1glop_1_1_linear_program.html#ad9d564651057c77b3f2ca1293134557f">CreateNewConstraint</a>();</div>
<div class="line"><a name="l00403"></a><span class="lineno">  403</span>&#160;      <span class="keyword">const</span> <a class="code" href="integral__types_8h.html#a7cde0074dfd288f2d70c0e035dacb28a">int64</a> coefficient_a = clause.a.IsPositive() ? 1 : -1;</div>
<div class="line"><a name="l00404"></a><span class="lineno">  404</span>&#160;      <span class="keyword">const</span> <a class="code" href="integral__types_8h.html#a7cde0074dfd288f2d70c0e035dacb28a">int64</a> coefficient_b = clause.b.IsPositive() ? 1 : -1;</div>
<div class="line"><a name="l00405"></a><span class="lineno">  405</span>&#160;      <span class="keyword">const</span> <a class="code" href="integral__types_8h.html#a7cde0074dfd288f2d70c0e035dacb28a">int64</a> rhs = 1 + (clause.a.IsPositive() ? 0 : -1) +</div>
<div class="line"><a name="l00406"></a><span class="lineno">  406</span>&#160;                        (clause.b.IsPositive() ? 0 : -1);</div>
<div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160;      <span class="keyword">const</span> ColIndex col_a(clause.a.Variable().value());</div>
<div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160;      <span class="keyword">const</span> ColIndex col_b(clause.b.Variable().value());</div>
<div class="line"><a name="l00409"></a><span class="lineno">  409</span>&#160;      <span class="keyword">const</span> std::string name_a = lp_model_.<a class="code" href="classoperations__research_1_1glop_1_1_linear_program.html#a18b017687d9940cc46c92e3937a18882">GetVariableName</a>(col_a);</div>
<div class="line"><a name="l00410"></a><span class="lineno">  410</span>&#160;      <span class="keyword">const</span> std::string name_b = lp_model_.<a class="code" href="classoperations__research_1_1glop_1_1_linear_program.html#a18b017687d9940cc46c92e3937a18882">GetVariableName</a>(col_b);</div>
<div class="line"><a name="l00411"></a><span class="lineno">  411</span>&#160; </div>
<div class="line"><a name="l00412"></a><span class="lineno">  412</span>&#160;      lp_model_.<a class="code" href="classoperations__research_1_1glop_1_1_linear_program.html#a1c4c019028d8b012b9d10e0a17bfaf4e">SetConstraintName</a>(</div>
<div class="line"><a name="l00413"></a><span class="lineno">  413</span>&#160;          constraint_index,</div>
<div class="line"><a name="l00414"></a><span class="lineno">  414</span>&#160;          (clause.a.IsPositive() ? name_a : <span class="stringliteral">&quot;not(&quot;</span> + name_a + <span class="stringliteral">&quot;)&quot;</span>) + <span class="stringliteral">&quot; or &quot;</span> +</div>
<div class="line"><a name="l00415"></a><span class="lineno">  415</span>&#160;              (clause.b.IsPositive() ? name_b : <span class="stringliteral">&quot;not(&quot;</span> + name_b + <span class="stringliteral">&quot;)&quot;</span>));</div>
<div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;      lp_model_.<a class="code" href="classoperations__research_1_1glop_1_1_linear_program.html#a2d695f450ae446d5d9c225b991f8d88e">SetCoefficient</a>(constraint_index, col_a, coefficient_a);</div>
<div class="line"><a name="l00417"></a><span class="lineno">  417</span>&#160;      lp_model_.<a class="code" href="classoperations__research_1_1glop_1_1_linear_program.html#a2d695f450ae446d5d9c225b991f8d88e">SetCoefficient</a>(constraint_index, col_b, coefficient_b);</div>
<div class="line"><a name="l00418"></a><span class="lineno">  418</span>&#160;      lp_model_.<a class="code" href="classoperations__research_1_1glop_1_1_linear_program.html#a62b98dec38b6506442f9fc63f1a9b88f">SetConstraintBounds</a>(constraint_index, rhs, <a class="code" href="namespaceoperations__research_1_1glop.html#af9a790b7e8c5b0c6d55b336177378e78">glop::kInfinity</a>);</div>
<div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;    }</div>
<div class="line"><a name="l00420"></a><span class="lineno">  420</span>&#160;  }</div>
<div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160; </div>
<div class="line"><a name="l00422"></a><span class="lineno">  422</span>&#160;  scaling_ = problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#a1b5ceea7aa96a97466f8e91036367a5b">original_problem</a>().objective().scaling_factor();</div>
<div class="line"><a name="l00423"></a><span class="lineno">  423</span>&#160;  offset_ = problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#a1b5ceea7aa96a97466f8e91036367a5b">original_problem</a>().objective().offset();</div>
<div class="line"><a name="l00424"></a><span class="lineno">  424</span>&#160;  scaled_solution_cost_ =</div>
<div class="line"><a name="l00425"></a><span class="lineno">  425</span>&#160;      problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#ac59ff8f3b21bdac22c9c53a7d82ba3ec">solution</a>().<a class="code" href="classoperations__research_1_1bop_1_1_bop_solution.html#a894d87c5fddfc463c3ca3c779ba7f997">IsFeasible</a>()</div>
<div class="line"><a name="l00426"></a><span class="lineno">  426</span>&#160;          ? problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#ac59ff8f3b21bdac22c9c53a7d82ba3ec">solution</a>().<a class="code" href="classoperations__research_1_1bop_1_1_bop_solution.html#a5a7e1c8c6e190403753beff6168d66a8">GetScaledCost</a>()</div>
<div class="line"><a name="l00427"></a><span class="lineno">  427</span>&#160;          : (lp_model_.<a class="code" href="classoperations__research_1_1glop_1_1_linear_program.html#accdd045ec09206640c2338524da77d23">IsMaximizationProblem</a>() ? -<a class="code" href="namespaceoperations__research_1_1glop.html#af9a790b7e8c5b0c6d55b336177378e78">glop::kInfinity</a></div>
<div class="line"><a name="l00428"></a><span class="lineno">  428</span>&#160;                                               : <a class="code" href="namespaceoperations__research_1_1glop.html#af9a790b7e8c5b0c6d55b336177378e78">glop::kInfinity</a>);</div>
<div class="line"><a name="l00429"></a><span class="lineno">  429</span>&#160;  <span class="keywordflow">return</span> <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba49959dd441dcda75d6898cf2c68fb374">BopOptimizerBase::CONTINUE</a>;</div>
<div class="line"><a name="l00430"></a><span class="lineno">  430</span>&#160;}</div>
<div class="line"><a name="l00431"></a><span class="lineno">  431</span>&#160; </div>
<div class="line"><a name="l00432"></a><span class="lineno">  432</span>&#160;<span class="comment">// Always let the LP solver run if there is an objective. If there isn&#39;t, only</span></div>
<div class="line"><a name="l00433"></a><span class="lineno">  433</span>&#160;<span class="comment">// let the LP solver run if the user asked for it by setting</span></div>
<div class="line"><a name="l00434"></a><span class="lineno">  434</span>&#160;<span class="comment">// `BopParameters.max_lp_solve_for_feasibility_problems` to a non-zero value</span></div>
<div class="line"><a name="l00435"></a><span class="lineno">  435</span>&#160;<span class="comment">// (a negative value means no limit).</span></div>
<div class="line"><a name="l00436"></a><span class="lineno">  436</span>&#160;<span class="comment">// TODO(user): also deal with problem_already_solved_</span></div>
<div class="line"><a name="l00437"></a><span class="lineno"><a class="line" href="classoperations__research_1_1bop_1_1_linear_relaxation.html#a333c05e80843ee46f4428d3e6482b17e">  437</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classoperations__research_1_1bop_1_1_linear_relaxation.html#a333c05e80843ee46f4428d3e6482b17e">LinearRelaxation::ShouldBeRun</a>(<span class="keyword">const</span> <a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html">ProblemState</a>&amp; problem_state)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00438"></a><span class="lineno">  438</span>&#160;  <span class="keywordflow">return</span> problem_state.<a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html#a1b5ceea7aa96a97466f8e91036367a5b">original_problem</a>().objective().literals_size() &gt; 0 ||</div>
<div class="line"><a name="l00439"></a><span class="lineno">  439</span>&#160;         parameters_.max_lp_solve_for_feasibility_problems() != 0;</div>
<div class="line"><a name="l00440"></a><span class="lineno">  440</span>&#160;}</div>
<div class="line"><a name="l00441"></a><span class="lineno">  441</span>&#160; </div>
<div class="line"><a name="l00442"></a><span class="lineno"><a class="line" href="classoperations__research_1_1bop_1_1_linear_relaxation.html#a8330ac820f311aab1b9c2c8057cc2c3f">  442</a></span>&#160;<a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">BopOptimizerBase::Status</a> <a class="code" href="classoperations__research_1_1bop_1_1_linear_relaxation.html#a8330ac820f311aab1b9c2c8057cc2c3f">LinearRelaxation::Optimize</a>(</div>
<div class="line"><a name="l00443"></a><span class="lineno">  443</span>&#160;    <span class="keyword">const</span> BopParameters&amp; <a class="code" href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a>, <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1bop_1_1_problem_state.html">ProblemState</a>&amp; problem_state,</div>
<div class="line"><a name="l00444"></a><span class="lineno">  444</span>&#160;    <a class="code" href="structoperations__research_1_1bop_1_1_learned_info.html">LearnedInfo</a>* learned_info, <a class="code" href="classoperations__research_1_1_time_limit.html">TimeLimit</a>* <a class="code" href="cp__model__solver_8cc.html#ac3cf9db02b23ea1455b5ae6955d03e47">time_limit</a>) {</div>
<div class="line"><a name="l00445"></a><span class="lineno">  445</span>&#160;  <a class="code" href="base_2logging_8h.html#a3e1cfef60e774a81f30eaddf26a3a274">CHECK</a>(learned_info != <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00446"></a><span class="lineno">  446</span>&#160;  <a class="code" href="base_2logging_8h.html#a3e1cfef60e774a81f30eaddf26a3a274">CHECK</a>(<a class="code" href="cp__model__solver_8cc.html#ac3cf9db02b23ea1455b5ae6955d03e47">time_limit</a> != <span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00447"></a><span class="lineno">  447</span>&#160;  learned_info-&gt;<a class="code" href="structoperations__research_1_1bop_1_1_learned_info.html#aa71d36872f416feaa853788a7a7a7ef8">Clear</a>();</div>
<div class="line"><a name="l00448"></a><span class="lineno">  448</span>&#160; </div>
<div class="line"><a name="l00449"></a><span class="lineno">  449</span>&#160;  <span class="keyword">const</span> <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">BopOptimizerBase::Status</a> sync_status =</div>
<div class="line"><a name="l00450"></a><span class="lineno">  450</span>&#160;      SynchronizeIfNeeded(problem_state);</div>
<div class="line"><a name="l00451"></a><span class="lineno">  451</span>&#160;  <span class="keywordflow">if</span> (sync_status != <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba49959dd441dcda75d6898cf2c68fb374">BopOptimizerBase::CONTINUE</a>) {</div>
<div class="line"><a name="l00452"></a><span class="lineno">  452</span>&#160;    <span class="keywordflow">return</span> sync_status;</div>
<div class="line"><a name="l00453"></a><span class="lineno">  453</span>&#160;  }</div>
<div class="line"><a name="l00454"></a><span class="lineno">  454</span>&#160; </div>
<div class="line"><a name="l00455"></a><span class="lineno">  455</span>&#160;  <span class="keyword">const</span> <a class="code" href="namespaceoperations__research_1_1glop.html#ae8a885303349cb7807c7c87b405bc0c9">glop::ProblemStatus</a> lp_status = Solve(<span class="keyword">false</span>, <a class="code" href="cp__model__solver_8cc.html#ac3cf9db02b23ea1455b5ae6955d03e47">time_limit</a>);</div>
<div class="line"><a name="l00456"></a><span class="lineno">  456</span>&#160;  <a class="code" href="base_2logging_8h.html#afcaa7cadd41741bb855c2ada1d2ef927">VLOG</a>(1) &lt;&lt; <span class="stringliteral">&quot;                          LP: &quot;</span></div>
<div class="line"><a name="l00457"></a><span class="lineno">  457</span>&#160;          &lt;&lt; absl::StrFormat(<span class="stringliteral">&quot;%.6f&quot;</span>, lp_solver_.<a class="code" href="classoperations__research_1_1glop_1_1_l_p_solver.html#a96c1f660991b5007ca24564f69cd27b8">GetObjectiveValue</a>())</div>
<div class="line"><a name="l00458"></a><span class="lineno">  458</span>&#160;          &lt;&lt; <span class="stringliteral">&quot;   status: &quot;</span> &lt;&lt; <a class="code" href="namespaceoperations__research_1_1glop.html#a509c4e359e6f7041eddfac3f1c46a92f">GetProblemStatusString</a>(lp_status);</div>
<div class="line"><a name="l00459"></a><span class="lineno">  459</span>&#160; </div>
<div class="line"><a name="l00460"></a><span class="lineno">  460</span>&#160;  <span class="keywordflow">if</span> (lp_status == <a class="code" href="namespaceoperations__research_1_1glop.html#ae8a885303349cb7807c7c87b405bc0c9af00c8dbdd6e1f11bdae06be94277d293">glop::ProblemStatus::OPTIMAL</a> ||</div>
<div class="line"><a name="l00461"></a><span class="lineno">  461</span>&#160;      lp_status == <a class="code" href="namespaceoperations__research_1_1glop.html#ae8a885303349cb7807c7c87b405bc0c9af00c8dbdd6e1f11bdae06be94277d293">glop::ProblemStatus::IMPRECISE</a>) {</div>
<div class="line"><a name="l00462"></a><span class="lineno">  462</span>&#160;    ++num_full_solves_;</div>
<div class="line"><a name="l00463"></a><span class="lineno">  463</span>&#160;    problem_already_solved_ = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00464"></a><span class="lineno">  464</span>&#160;  }</div>
<div class="line"><a name="l00465"></a><span class="lineno">  465</span>&#160; </div>
<div class="line"><a name="l00466"></a><span class="lineno">  466</span>&#160;  <span class="keywordflow">if</span> (lp_status == <a class="code" href="namespaceoperations__research_1_1glop.html#ae8a885303349cb7807c7c87b405bc0c9afaee4ca3c30ee18148ce3ada37466498">glop::ProblemStatus::INIT</a>) {</div>
<div class="line"><a name="l00467"></a><span class="lineno">  467</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba72c2402449caa8f3edc8aa0a3816baed">BopOptimizerBase::LIMIT_REACHED</a>;</div>
<div class="line"><a name="l00468"></a><span class="lineno">  468</span>&#160;  }</div>
<div class="line"><a name="l00469"></a><span class="lineno">  469</span>&#160;  <span class="keywordflow">if</span> (lp_status != <a class="code" href="namespaceoperations__research_1_1glop.html#ae8a885303349cb7807c7c87b405bc0c9af00c8dbdd6e1f11bdae06be94277d293">glop::ProblemStatus::OPTIMAL</a> &amp;&amp;</div>
<div class="line"><a name="l00470"></a><span class="lineno">  470</span>&#160;      lp_status != <a class="code" href="namespaceoperations__research_1_1glop.html#ae8a885303349cb7807c7c87b405bc0c9af00c8dbdd6e1f11bdae06be94277d293">glop::ProblemStatus::IMPRECISE</a> &amp;&amp;</div>
<div class="line"><a name="l00471"></a><span class="lineno">  471</span>&#160;      lp_status != glop::ProblemStatus::PRIMAL_FEASIBLE) {</div>
<div class="line"><a name="l00472"></a><span class="lineno">  472</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba781ad2788df9e25c59a70894c7832096">BopOptimizerBase::ABORT</a>;</div>
<div class="line"><a name="l00473"></a><span class="lineno">  473</span>&#160;  }</div>
<div class="line"><a name="l00474"></a><span class="lineno">  474</span>&#160;  learned_info-&gt;<a class="code" href="structoperations__research_1_1bop_1_1_learned_info.html#a92c51be8c0b7ed3142c363875d361967">lp_values</a> = lp_solver_.<a class="code" href="classoperations__research_1_1glop_1_1_l_p_solver.html#a79f4b1dff56ea4e839e0d380019c4869">variable_values</a>();</div>
<div class="line"><a name="l00475"></a><span class="lineno">  475</span>&#160; </div>
<div class="line"><a name="l00476"></a><span class="lineno">  476</span>&#160;  <span class="keywordflow">if</span> (lp_status == <a class="code" href="namespaceoperations__research_1_1glop.html#ae8a885303349cb7807c7c87b405bc0c9af00c8dbdd6e1f11bdae06be94277d293">glop::ProblemStatus::OPTIMAL</a>) {</div>
<div class="line"><a name="l00477"></a><span class="lineno">  477</span>&#160;    <span class="comment">// The lp returns the objective with the offset and scaled, so we need to</span></div>
<div class="line"><a name="l00478"></a><span class="lineno">  478</span>&#160;    <span class="comment">// unscale it and then remove the offset.</span></div>
<div class="line"><a name="l00479"></a><span class="lineno">  479</span>&#160;    <span class="keywordtype">double</span> lower_bound = lp_solver_.<a class="code" href="classoperations__research_1_1glop_1_1_l_p_solver.html#a96c1f660991b5007ca24564f69cd27b8">GetObjectiveValue</a>();</div>
<div class="line"><a name="l00480"></a><span class="lineno">  480</span>&#160;    <span class="keywordflow">if</span> (parameters_.use_lp_strong_branching()) {</div>
<div class="line"><a name="l00481"></a><span class="lineno">  481</span>&#160;      lower_bound =</div>
<div class="line"><a name="l00482"></a><span class="lineno">  482</span>&#160;          ComputeLowerBoundUsingStrongBranching(learned_info, <a class="code" href="cp__model__solver_8cc.html#ac3cf9db02b23ea1455b5ae6955d03e47">time_limit</a>);</div>
<div class="line"><a name="l00483"></a><span class="lineno">  483</span>&#160;      <a class="code" href="base_2logging_8h.html#afcaa7cadd41741bb855c2ada1d2ef927">VLOG</a>(1) &lt;&lt; <span class="stringliteral">&quot;                          LP: &quot;</span></div>
<div class="line"><a name="l00484"></a><span class="lineno">  484</span>&#160;              &lt;&lt; absl::StrFormat(<span class="stringliteral">&quot;%.6f&quot;</span>, lower_bound)</div>
<div class="line"><a name="l00485"></a><span class="lineno">  485</span>&#160;              &lt;&lt; <span class="stringliteral">&quot;   using strong branching.&quot;</span>;</div>
<div class="line"><a name="l00486"></a><span class="lineno">  486</span>&#160;    }</div>
<div class="line"><a name="l00487"></a><span class="lineno">  487</span>&#160; </div>
<div class="line"><a name="l00488"></a><span class="lineno">  488</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> tolerance_sign = scaling_ &lt; 0 ? 1 : -1;</div>
<div class="line"><a name="l00489"></a><span class="lineno">  489</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">double</span> unscaled_cost =</div>
<div class="line"><a name="l00490"></a><span class="lineno">  490</span>&#160;        (lower_bound +</div>
<div class="line"><a name="l00491"></a><span class="lineno">  491</span>&#160;         tolerance_sign *</div>
<div class="line"><a name="l00492"></a><span class="lineno">  492</span>&#160;             lp_solver_.<a class="code" href="classoperations__research_1_1glop_1_1_l_p_solver.html#a01f64f8af66c6c5a66d3b4ebc868cab6">GetParameters</a>().solution_feasibility_tolerance()) /</div>
<div class="line"><a name="l00493"></a><span class="lineno">  493</span>&#160;            scaling_ -</div>
<div class="line"><a name="l00494"></a><span class="lineno">  494</span>&#160;        offset_;</div>
<div class="line"><a name="l00495"></a><span class="lineno">  495</span>&#160;    learned_info-&gt;<a class="code" href="structoperations__research_1_1bop_1_1_learned_info.html#ad9847fd6c05481cd3c2d5ca7471b8e7f">lower_bound</a> = <span class="keyword">static_cast&lt;</span><a class="code" href="integral__types_8h.html#a7cde0074dfd288f2d70c0e035dacb28a">int64</a><span class="keyword">&gt;</span>(ceil(unscaled_cost));</div>
<div class="line"><a name="l00496"></a><span class="lineno">  496</span>&#160; </div>
<div class="line"><a name="l00497"></a><span class="lineno">  497</span>&#160;    <span class="keywordflow">if</span> (AllIntegralValues(</div>
<div class="line"><a name="l00498"></a><span class="lineno">  498</span>&#160;            learned_info-&gt;<a class="code" href="structoperations__research_1_1bop_1_1_learned_info.html#a92c51be8c0b7ed3142c363875d361967">lp_values</a>,</div>
<div class="line"><a name="l00499"></a><span class="lineno">  499</span>&#160;            lp_solver_.<a class="code" href="classoperations__research_1_1glop_1_1_l_p_solver.html#a01f64f8af66c6c5a66d3b4ebc868cab6">GetParameters</a>().primal_feasibility_tolerance())) {</div>
<div class="line"><a name="l00500"></a><span class="lineno">  500</span>&#160;      DenseRowToBopSolution(learned_info-&gt;<a class="code" href="structoperations__research_1_1bop_1_1_learned_info.html#a92c51be8c0b7ed3142c363875d361967">lp_values</a>, &amp;learned_info-&gt;<a class="code" href="structoperations__research_1_1bop_1_1_learned_info.html#aa055411f4c53125132922079d33e535f">solution</a>);</div>
<div class="line"><a name="l00501"></a><span class="lineno">  501</span>&#160;      <a class="code" href="base_2logging_8h.html#a3e1cfef60e774a81f30eaddf26a3a274">CHECK</a>(learned_info-&gt;<a class="code" href="structoperations__research_1_1bop_1_1_learned_info.html#aa055411f4c53125132922079d33e535f">solution</a>.<a class="code" href="classoperations__research_1_1bop_1_1_bop_solution.html#a894d87c5fddfc463c3ca3c779ba7f997">IsFeasible</a>());</div>
<div class="line"><a name="l00502"></a><span class="lineno">  502</span>&#160;      <span class="keywordflow">return</span> <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70bae276c6d6c33441e7bc41f349a9ba39e2">BopOptimizerBase::OPTIMAL_SOLUTION_FOUND</a>;</div>
<div class="line"><a name="l00503"></a><span class="lineno">  503</span>&#160;    }</div>
<div class="line"><a name="l00504"></a><span class="lineno">  504</span>&#160;  }</div>
<div class="line"><a name="l00505"></a><span class="lineno">  505</span>&#160; </div>
<div class="line"><a name="l00506"></a><span class="lineno">  506</span>&#160;  <span class="keywordflow">return</span> <a class="code" href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba896e21bf00faf87ec96b7d126be0641b">BopOptimizerBase::INFORMATION_FOUND</a>;</div>
<div class="line"><a name="l00507"></a><span class="lineno">  507</span>&#160;}</div>
<div class="line"><a name="l00508"></a><span class="lineno">  508</span>&#160; </div>
<div class="line"><a name="l00509"></a><span class="lineno">  509</span>&#160;<span class="comment">// TODO(user): It is possible to stop the search earlier using the glop</span></div>
<div class="line"><a name="l00510"></a><span class="lineno">  510</span>&#160;<span class="comment">//              parameter objective_lower_limit / objective_upper_limit. That</span></div>
<div class="line"><a name="l00511"></a><span class="lineno">  511</span>&#160;<span class="comment">//              can be used when a feasible solution is known, or when the false</span></div>
<div class="line"><a name="l00512"></a><span class="lineno">  512</span>&#160;<span class="comment">//              best bound is computed.</span></div>
<div class="line"><a name="l00513"></a><span class="lineno">  513</span>&#160;<a class="code" href="namespaceoperations__research_1_1glop.html#ae8a885303349cb7807c7c87b405bc0c9">glop::ProblemStatus</a> LinearRelaxation::Solve(<span class="keywordtype">bool</span> incremental_solve,</div>
<div class="line"><a name="l00514"></a><span class="lineno">  514</span>&#160;                                            <a class="code" href="classoperations__research_1_1_time_limit.html">TimeLimit</a>* <a class="code" href="cp__model__solver_8cc.html#ac3cf9db02b23ea1455b5ae6955d03e47">time_limit</a>) {</div>
<div class="line"><a name="l00515"></a><span class="lineno">  515</span>&#160;  GlopParameters glop_params;</div>
<div class="line"><a name="l00516"></a><span class="lineno">  516</span>&#160;  <span class="keywordflow">if</span> (incremental_solve) {</div>
<div class="line"><a name="l00517"></a><span class="lineno">  517</span>&#160;    glop_params.set_use_dual_simplex(<span class="keyword">true</span>);</div>
<div class="line"><a name="l00518"></a><span class="lineno">  518</span>&#160;    glop_params.set_allow_simplex_algorithm_change(<span class="keyword">true</span>);</div>
<div class="line"><a name="l00519"></a><span class="lineno">  519</span>&#160;    glop_params.set_use_preprocessing(<span class="keyword">false</span>);</div>
<div class="line"><a name="l00520"></a><span class="lineno">  520</span>&#160;    lp_solver_.<a class="code" href="classoperations__research_1_1glop_1_1_l_p_solver.html#ae7202d055b6b172a8a1da4f5b136f9ea">SetParameters</a>(glop_params);</div>
<div class="line"><a name="l00521"></a><span class="lineno">  521</span>&#160;  }</div>
<div class="line"><a name="l00522"></a><span class="lineno">  522</span>&#160;  <a class="code" href="classoperations__research_1_1_nested_time_limit.html">NestedTimeLimit</a> nested_time_limit(<a class="code" href="cp__model__solver_8cc.html#ac3cf9db02b23ea1455b5ae6955d03e47">time_limit</a>, <a class="code" href="cp__model__solver_8cc.html#ac3cf9db02b23ea1455b5ae6955d03e47">time_limit</a>-&gt;GetTimeLeft(),</div>
<div class="line"><a name="l00523"></a><span class="lineno">  523</span>&#160;                                    parameters_.lp_max_deterministic_time());</div>
<div class="line"><a name="l00524"></a><span class="lineno">  524</span>&#160;  <span class="keyword">const</span> <a class="code" href="namespaceoperations__research_1_1glop.html#ae8a885303349cb7807c7c87b405bc0c9">glop::ProblemStatus</a> lp_status = lp_solver_.<a class="code" href="classoperations__research_1_1glop_1_1_l_p_solver.html#ae3f158ad37c1fe375d465875fb8130f2">SolveWithTimeLimit</a>(</div>
<div class="line"><a name="l00525"></a><span class="lineno">  525</span>&#160;      lp_model_, nested_time_limit.GetTimeLimit());</div>
<div class="line"><a name="l00526"></a><span class="lineno">  526</span>&#160;  <span class="keywordflow">return</span> lp_status;</div>
<div class="line"><a name="l00527"></a><span class="lineno">  527</span>&#160;}</div>
<div class="line"><a name="l00528"></a><span class="lineno">  528</span>&#160; </div>
<div class="line"><a name="l00529"></a><span class="lineno">  529</span>&#160;<span class="keywordtype">double</span> LinearRelaxation::ComputeLowerBoundUsingStrongBranching(</div>
<div class="line"><a name="l00530"></a><span class="lineno">  530</span>&#160;    LearnedInfo* learned_info, TimeLimit* <a class="code" href="cp__model__solver_8cc.html#ac3cf9db02b23ea1455b5ae6955d03e47">time_limit</a>) {</div>
<div class="line"><a name="l00531"></a><span class="lineno">  531</span>&#160;  <span class="keyword">const</span> <a class="code" href="namespaceoperations__research_1_1glop.html#a4dc8ae0f97c4110f3cc770715b2bbd12">glop::DenseRow</a> initial_lp_values = lp_solver_.<a class="code" href="classoperations__research_1_1glop_1_1_l_p_solver.html#a79f4b1dff56ea4e839e0d380019c4869">variable_values</a>();</div>
<div class="line"><a name="l00532"></a><span class="lineno">  532</span>&#160;  <span class="keyword">const</span> <span class="keywordtype">double</span> tolerance =</div>
<div class="line"><a name="l00533"></a><span class="lineno">  533</span>&#160;      lp_solver_.<a class="code" href="classoperations__research_1_1glop_1_1_l_p_solver.html#a01f64f8af66c6c5a66d3b4ebc868cab6">GetParameters</a>().primal_feasibility_tolerance();</div>
<div class="line"><a name="l00534"></a><span class="lineno">  534</span>&#160;  <span class="keywordtype">double</span> best_lp_objective = lp_solver_.<a class="code" href="classoperations__research_1_1glop_1_1_l_p_solver.html#a96c1f660991b5007ca24564f69cd27b8">GetObjectiveValue</a>();</div>
<div class="line"><a name="l00535"></a><span class="lineno">  535</span>&#160;  <span class="keywordflow">for</span> (glop::ColIndex <a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>(0); <a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a> &lt; initial_lp_values.size(); ++<a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>) {</div>
<div class="line"><a name="l00536"></a><span class="lineno">  536</span>&#160;    <span class="comment">// TODO(user): Order the variables by some meaningful quantity (probably</span></div>
<div class="line"><a name="l00537"></a><span class="lineno">  537</span>&#160;    <span class="comment">//              the cost variation when we snap it to one of its bound) so</span></div>
<div class="line"><a name="l00538"></a><span class="lineno">  538</span>&#160;    <span class="comment">//              we can try the one that seems the most promising first.</span></div>
<div class="line"><a name="l00539"></a><span class="lineno">  539</span>&#160;    <span class="comment">//              That way we can stop the strong branching earlier.</span></div>
<div class="line"><a name="l00540"></a><span class="lineno">  540</span>&#160;    <span class="keywordflow">if</span> (<a class="code" href="cp__model__solver_8cc.html#ac3cf9db02b23ea1455b5ae6955d03e47">time_limit</a>-&gt;LimitReached()) <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00541"></a><span class="lineno">  541</span>&#160; </div>
<div class="line"><a name="l00542"></a><span class="lineno">  542</span>&#160;    <span class="comment">// Skip fixed variables.</span></div>
<div class="line"><a name="l00543"></a><span class="lineno">  543</span>&#160;    <span class="keywordflow">if</span> (lp_model_.<a class="code" href="classoperations__research_1_1glop_1_1_linear_program.html#a4ba664b00317505a0026d2a38e6dd565">variable_lower_bounds</a>()[<a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>] ==</div>
<div class="line"><a name="l00544"></a><span class="lineno">  544</span>&#160;        lp_model_.<a class="code" href="classoperations__research_1_1glop_1_1_linear_program.html#acd138469679be137d0de53459b1342cb">variable_upper_bounds</a>()[<a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>]) {</div>
<div class="line"><a name="l00545"></a><span class="lineno">  545</span>&#160;      <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l00546"></a><span class="lineno">  546</span>&#160;    }</div>
<div class="line"><a name="l00547"></a><span class="lineno">  547</span>&#160;    <a class="code" href="base_2logging_8h.html#a7c0ce053b28d53aa4eaf3eb7fb71663b">CHECK_EQ</a>(0.0, lp_model_.<a class="code" href="classoperations__research_1_1glop_1_1_linear_program.html#a4ba664b00317505a0026d2a38e6dd565">variable_lower_bounds</a>()[<a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>]);</div>
<div class="line"><a name="l00548"></a><span class="lineno">  548</span>&#160;    <a class="code" href="base_2logging_8h.html#a7c0ce053b28d53aa4eaf3eb7fb71663b">CHECK_EQ</a>(1.0, lp_model_.<a class="code" href="classoperations__research_1_1glop_1_1_linear_program.html#acd138469679be137d0de53459b1342cb">variable_upper_bounds</a>()[<a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>]);</div>
<div class="line"><a name="l00549"></a><span class="lineno">  549</span>&#160; </div>
<div class="line"><a name="l00550"></a><span class="lineno">  550</span>&#160;    <span class="comment">// Note(user): Experiments show that iterating on all variables can be</span></div>
<div class="line"><a name="l00551"></a><span class="lineno">  551</span>&#160;    <span class="comment">// costly and doesn&#39;t lead to better solutions when a SAT optimizer is used</span></div>
<div class="line"><a name="l00552"></a><span class="lineno">  552</span>&#160;    <span class="comment">// afterward, e.g. BopSatLpFirstSolutionGenerator, and no feasible solutions</span></div>
<div class="line"><a name="l00553"></a><span class="lineno">  553</span>&#160;    <span class="comment">// are available.</span></div>
<div class="line"><a name="l00554"></a><span class="lineno">  554</span>&#160;    <span class="comment">// No variables are skipped when a feasible solution is know as the best</span></div>
<div class="line"><a name="l00555"></a><span class="lineno">  555</span>&#160;    <span class="comment">// bound / cost comparison can be used to deduce fixed variables, and be</span></div>
<div class="line"><a name="l00556"></a><span class="lineno">  556</span>&#160;    <span class="comment">// useful for other optimizers.</span></div>
<div class="line"><a name="l00557"></a><span class="lineno">  557</span>&#160;    <span class="keywordflow">if</span> ((scaled_solution_cost_ == <a class="code" href="namespaceoperations__research_1_1glop.html#af9a790b7e8c5b0c6d55b336177378e78">glop::kInfinity</a> ||</div>
<div class="line"><a name="l00558"></a><span class="lineno">  558</span>&#160;         scaled_solution_cost_ == -<a class="code" href="namespaceoperations__research_1_1glop.html#af9a790b7e8c5b0c6d55b336177378e78">glop::kInfinity</a>) &amp;&amp;</div>
<div class="line"><a name="l00559"></a><span class="lineno">  559</span>&#160;        (initial_lp_values[<a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>] &lt; tolerance ||</div>
<div class="line"><a name="l00560"></a><span class="lineno">  560</span>&#160;         initial_lp_values[<a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>] + tolerance &gt; 1)) {</div>
<div class="line"><a name="l00561"></a><span class="lineno">  561</span>&#160;      <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l00562"></a><span class="lineno">  562</span>&#160;    }</div>
<div class="line"><a name="l00563"></a><span class="lineno">  563</span>&#160; </div>
<div class="line"><a name="l00564"></a><span class="lineno">  564</span>&#160;    <span class="keywordtype">double</span> objective_true = best_lp_objective;</div>
<div class="line"><a name="l00565"></a><span class="lineno">  565</span>&#160;    <span class="keywordtype">double</span> objective_false = best_lp_objective;</div>
<div class="line"><a name="l00566"></a><span class="lineno">  566</span>&#160; </div>
<div class="line"><a name="l00567"></a><span class="lineno">  567</span>&#160;    <span class="comment">// Set to true.</span></div>
<div class="line"><a name="l00568"></a><span class="lineno">  568</span>&#160;    lp_model_.<a class="code" href="classoperations__research_1_1glop_1_1_linear_program.html#a0fe7ba825c8c6cd1efdcff6dec631093">SetVariableBounds</a>(<a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>, 1.0, 1.0);</div>
<div class="line"><a name="l00569"></a><span class="lineno">  569</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespaceoperations__research_1_1glop.html#ae8a885303349cb7807c7c87b405bc0c9">glop::ProblemStatus</a> status_true = Solve(<span class="keyword">true</span>, <a class="code" href="cp__model__solver_8cc.html#ac3cf9db02b23ea1455b5ae6955d03e47">time_limit</a>);</div>
<div class="line"><a name="l00570"></a><span class="lineno">  570</span>&#160;    <span class="comment">// TODO(user): Deal with PRIMAL_INFEASIBLE, DUAL_INFEASIBLE and</span></div>
<div class="line"><a name="l00571"></a><span class="lineno">  571</span>&#160;    <span class="comment">//              INFEASIBLE_OR_UNBOUNDED statuses. In all cases, if the</span></div>
<div class="line"><a name="l00572"></a><span class="lineno">  572</span>&#160;    <span class="comment">//              original lp was feasible, this means that the variable can</span></div>
<div class="line"><a name="l00573"></a><span class="lineno">  573</span>&#160;    <span class="comment">//              be fixed to the other bound.</span></div>
<div class="line"><a name="l00574"></a><span class="lineno">  574</span>&#160;    <span class="keywordflow">if</span> (status_true == <a class="code" href="namespaceoperations__research_1_1glop.html#ae8a885303349cb7807c7c87b405bc0c9af00c8dbdd6e1f11bdae06be94277d293">glop::ProblemStatus::OPTIMAL</a> ||</div>
<div class="line"><a name="l00575"></a><span class="lineno">  575</span>&#160;        status_true == glop::ProblemStatus::DUAL_FEASIBLE) {</div>
<div class="line"><a name="l00576"></a><span class="lineno">  576</span>&#160;      objective_true = lp_solver_.<a class="code" href="classoperations__research_1_1glop_1_1_l_p_solver.html#a96c1f660991b5007ca24564f69cd27b8">GetObjectiveValue</a>();</div>
<div class="line"><a name="l00577"></a><span class="lineno">  577</span>&#160; </div>
<div class="line"><a name="l00578"></a><span class="lineno">  578</span>&#160;      <span class="comment">// Set to false.</span></div>
<div class="line"><a name="l00579"></a><span class="lineno">  579</span>&#160;      lp_model_.<a class="code" href="classoperations__research_1_1glop_1_1_linear_program.html#a0fe7ba825c8c6cd1efdcff6dec631093">SetVariableBounds</a>(<a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>, 0.0, 0.0);</div>
<div class="line"><a name="l00580"></a><span class="lineno">  580</span>&#160;      <span class="keyword">const</span> <a class="code" href="namespaceoperations__research_1_1glop.html#ae8a885303349cb7807c7c87b405bc0c9">glop::ProblemStatus</a> status_false = Solve(<span class="keyword">true</span>, <a class="code" href="cp__model__solver_8cc.html#ac3cf9db02b23ea1455b5ae6955d03e47">time_limit</a>);</div>
<div class="line"><a name="l00581"></a><span class="lineno">  581</span>&#160;      <span class="keywordflow">if</span> (status_false == <a class="code" href="namespaceoperations__research_1_1glop.html#ae8a885303349cb7807c7c87b405bc0c9af00c8dbdd6e1f11bdae06be94277d293">glop::ProblemStatus::OPTIMAL</a> ||</div>
<div class="line"><a name="l00582"></a><span class="lineno">  582</span>&#160;          status_false == glop::ProblemStatus::DUAL_FEASIBLE) {</div>
<div class="line"><a name="l00583"></a><span class="lineno">  583</span>&#160;        objective_false = lp_solver_.<a class="code" href="classoperations__research_1_1glop_1_1_l_p_solver.html#a96c1f660991b5007ca24564f69cd27b8">GetObjectiveValue</a>();</div>
<div class="line"><a name="l00584"></a><span class="lineno">  584</span>&#160; </div>
<div class="line"><a name="l00585"></a><span class="lineno">  585</span>&#160;        <span class="comment">// Compute the new min.</span></div>
<div class="line"><a name="l00586"></a><span class="lineno">  586</span>&#160;        best_lp_objective =</div>
<div class="line"><a name="l00587"></a><span class="lineno">  587</span>&#160;            lp_model_.<a class="code" href="classoperations__research_1_1glop_1_1_linear_program.html#accdd045ec09206640c2338524da77d23">IsMaximizationProblem</a>()</div>
<div class="line"><a name="l00588"></a><span class="lineno">  588</span>&#160;                ? <a class="code" href="alldiff__cst_8cc.html#a021e695f54a13bd809c34b2f4ca87c37">std::min</a>(best_lp_objective,</div>
<div class="line"><a name="l00589"></a><span class="lineno">  589</span>&#160;                           <a class="code" href="alldiff__cst_8cc.html#a9d0c202d5fdd62f4fa2c613339ff168a">std::max</a>(objective_true, objective_false))</div>
<div class="line"><a name="l00590"></a><span class="lineno">  590</span>&#160;                : std::<a class="code" href="alldiff__cst_8cc.html#a9d0c202d5fdd62f4fa2c613339ff168a">max</a>(best_lp_objective,</div>
<div class="line"><a name="l00591"></a><span class="lineno">  591</span>&#160;                           std::<a class="code" href="alldiff__cst_8cc.html#a021e695f54a13bd809c34b2f4ca87c37">min</a>(objective_true, objective_false));</div>
<div class="line"><a name="l00592"></a><span class="lineno">  592</span>&#160;      }</div>
<div class="line"><a name="l00593"></a><span class="lineno">  593</span>&#160;    }</div>
<div class="line"><a name="l00594"></a><span class="lineno">  594</span>&#160; </div>
<div class="line"><a name="l00595"></a><span class="lineno">  595</span>&#160;    <span class="keywordflow">if</span> (CostIsWorseThanSolution(objective_true, tolerance)) {</div>
<div class="line"><a name="l00596"></a><span class="lineno">  596</span>&#160;      <span class="comment">// Having variable col set to true can&#39;t possibly lead to and better</span></div>
<div class="line"><a name="l00597"></a><span class="lineno">  597</span>&#160;      <span class="comment">// solution than the current one. Set the variable to false.</span></div>
<div class="line"><a name="l00598"></a><span class="lineno">  598</span>&#160;      lp_model_.<a class="code" href="classoperations__research_1_1glop_1_1_linear_program.html#a0fe7ba825c8c6cd1efdcff6dec631093">SetVariableBounds</a>(<a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>, 0.0, 0.0);</div>
<div class="line"><a name="l00599"></a><span class="lineno">  599</span>&#160;      learned_info-&gt;fixed_literals.push_back(</div>
<div class="line"><a name="l00600"></a><span class="lineno">  600</span>&#160;          sat::Literal(sat::BooleanVariable(<a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>.value()), <span class="keyword">false</span>));</div>
<div class="line"><a name="l00601"></a><span class="lineno">  601</span>&#160;    } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (CostIsWorseThanSolution(objective_false, tolerance)) {</div>
<div class="line"><a name="l00602"></a><span class="lineno">  602</span>&#160;      <span class="comment">// Having variable col set to false can&#39;t possibly lead to and better</span></div>
<div class="line"><a name="l00603"></a><span class="lineno">  603</span>&#160;      <span class="comment">// solution than the current one. Set the variable to true.</span></div>
<div class="line"><a name="l00604"></a><span class="lineno">  604</span>&#160;      lp_model_.<a class="code" href="classoperations__research_1_1glop_1_1_linear_program.html#a0fe7ba825c8c6cd1efdcff6dec631093">SetVariableBounds</a>(<a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>, 1.0, 1.0);</div>
<div class="line"><a name="l00605"></a><span class="lineno">  605</span>&#160;      learned_info-&gt;fixed_literals.push_back(</div>
<div class="line"><a name="l00606"></a><span class="lineno">  606</span>&#160;          sat::Literal(sat::BooleanVariable(<a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>.value()), <span class="keyword">true</span>));</div>
<div class="line"><a name="l00607"></a><span class="lineno">  607</span>&#160;    } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00608"></a><span class="lineno">  608</span>&#160;      <span class="comment">// Unset. This is safe to use 0.0 and 1.0 as the variable is not fixed.</span></div>
<div class="line"><a name="l00609"></a><span class="lineno">  609</span>&#160;      lp_model_.<a class="code" href="classoperations__research_1_1glop_1_1_linear_program.html#a0fe7ba825c8c6cd1efdcff6dec631093">SetVariableBounds</a>(<a class="code" href="markowitz_8cc.html#aa9d6c98fdf8d89b0e2321fda02adc82c">col</a>, 0.0, 1.0);</div>
<div class="line"><a name="l00610"></a><span class="lineno">  610</span>&#160;    }</div>
<div class="line"><a name="l00611"></a><span class="lineno">  611</span>&#160;  }</div>
<div class="line"><a name="l00612"></a><span class="lineno">  612</span>&#160;  <span class="keywordflow">return</span> best_lp_objective;</div>
<div class="line"><a name="l00613"></a><span class="lineno">  613</span>&#160;}</div>
<div class="line"><a name="l00614"></a><span class="lineno">  614</span>&#160; </div>
<div class="line"><a name="l00615"></a><span class="lineno">  615</span>&#160;<span class="keywordtype">bool</span> LinearRelaxation::CostIsWorseThanSolution(<span class="keywordtype">double</span> <a class="code" href="preprocessor_8cc.html#a72ecc219428436501225dd42f67c73a9">scaled_cost</a>,</div>
<div class="line"><a name="l00616"></a><span class="lineno">  616</span>&#160;                                               <span class="keywordtype">double</span> tolerance)<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00617"></a><span class="lineno">  617</span>&#160;  <span class="keywordflow">return</span> lp_model_.<a class="code" href="classoperations__research_1_1glop_1_1_linear_program.html#accdd045ec09206640c2338524da77d23">IsMaximizationProblem</a>()</div>
<div class="line"><a name="l00618"></a><span class="lineno">  618</span>&#160;             ? <a class="code" href="preprocessor_8cc.html#a72ecc219428436501225dd42f67c73a9">scaled_cost</a> + tolerance &lt; scaled_solution_cost_</div>
<div class="line"><a name="l00619"></a><span class="lineno">  619</span>&#160;             : <a class="code" href="preprocessor_8cc.html#a72ecc219428436501225dd42f67c73a9">scaled_cost</a> &gt; scaled_solution_cost_ + tolerance;</div>
<div class="line"><a name="l00620"></a><span class="lineno">  620</span>&#160;}</div>
<div class="line"><a name="l00621"></a><span class="lineno">  621</span>&#160; </div>
<div class="line"><a name="l00622"></a><span class="lineno">  622</span>&#160;}  <span class="comment">// namespace bop</span></div>
<div class="line"><a name="l00623"></a><span class="lineno">  623</span>&#160;}  <span class="comment">// namespace operations_research</span></div>
</div><!-- fragment --></div><!-- contents -->
</div><!-- doc-content -->
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_bop_random_first_solution_generator_html_a8330ac820f311aab1b9c2c8057cc2c3f"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_bop_random_first_solution_generator.html#a8330ac820f311aab1b9c2c8057cc2c3f">operations_research::bop::BopRandomFirstSolutionGenerator::Optimize</a></div><div class="ttdeci">Status Optimize(const BopParameters &amp;parameters, const ProblemState &amp;problem_state, LearnedInfo *learned_info, TimeLimit *time_limit) override</div><div class="ttdef"><b>Definition:</b> <a href="bop__fs_8cc_source.html#l00226">bop_fs.cc:226</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#l01858">expr_array.cc:1858</a></div></div>
<div class="ttc" id="abop__fs_8h_html"><div class="ttname"><a href="bop__fs_8h.html">bop_fs.h</a></div></div>
<div class="ttc" id="apreprocessor_8cc_html_a72ecc219428436501225dd42f67c73a9"><div class="ttname"><a href="preprocessor_8cc.html#a72ecc219428436501225dd42f67c73a9">scaled_cost</a></div><div class="ttdeci">Fractional scaled_cost</div><div class="ttdef"><b>Definition:</b> <a href="preprocessor_8cc_source.html#l00425">preprocessor.cc:425</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_sat_solver_html_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_sat_solver.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">operations_research::sat::SatSolver::Status</a></div><div class="ttdeci">Status</div><div class="ttdef"><b>Definition:</b> <a href="sat__solver_8h_source.html#l00181">sat_solver.h:181</a></div></div>
<div class="ttc" id="aalldiff__cst_8cc_html_a021e695f54a13bd809c34b2f4ca87c37"><div class="ttname"><a href="alldiff__cst_8cc.html#a021e695f54a13bd809c34b2f4ca87c37">min</a></div><div class="ttdeci">int64 min</div><div class="ttdef"><b>Definition:</b> <a href="alldiff__cst_8cc_source.html#l00138">alldiff_cst.cc:138</a></div></div>
<div class="ttc" id="anamespaceoperations__research_1_1glop_html_a4dc8ae0f97c4110f3cc770715b2bbd12"><div class="ttname"><a href="namespaceoperations__research_1_1glop.html#a4dc8ae0f97c4110f3cc770715b2bbd12">operations_research::glop::DenseRow</a></div><div class="ttdeci">StrictITIVector&lt; ColIndex, Fractional &gt; DenseRow</div><div class="ttdef"><b>Definition:</b> <a href="lp__types_8h_source.html#l00299">lp_types.h:299</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1glop_1_1_l_p_solver_html_a01f64f8af66c6c5a66d3b4ebc868cab6"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_l_p_solver.html#a01f64f8af66c6c5a66d3b4ebc868cab6">operations_research::glop::LPSolver::GetParameters</a></div><div class="ttdeci">const GlopParameters &amp; GetParameters() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__solver_8cc_source.html#l00117">lp_solver.cc:117</a></div></div>
<div class="ttc" id="abase_2logging_8h_html_afcaa7cadd41741bb855c2ada1d2ef927"><div class="ttname"><a href="base_2logging_8h.html#afcaa7cadd41741bb855c2ada1d2ef927">VLOG</a></div><div class="ttdeci">#define VLOG(verboselevel)</div><div class="ttdef"><b>Definition:</b> <a href="base_2logging_8h_source.html#l00978">base/logging.h:978</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_sat_solver_html_a955786dcbe82b7c4dc9924a5473ac1e8"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_sat_solver.html#a955786dcbe82b7c4dc9924a5473ac1e8">operations_research::sat::SatSolver::SetAssignmentPreference</a></div><div class="ttdeci">void SetAssignmentPreference(Literal literal, double weight)</div><div class="ttdef"><b>Definition:</b> <a href="sat__solver_8h_source.html#l00151">sat_solver.h:151</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_sat_solver_html_a88dcaf0cf27bb4991376ed54d8f2698f"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_sat_solver.html#a88dcaf0cf27bb4991376ed54d8f2698f">operations_research::sat::SatSolver::AssumptionLevel</a></div><div class="ttdeci">int AssumptionLevel() const</div><div class="ttdef"><b>Definition:</b> <a href="sat__solver_8h_source.html#l00221">sat_solver.h:221</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_bop_optimizer_base_html_a67a0db04d321a74b7e7fcfd3f1a3f70ba22ebbfba03095f407fb90f5a363a384b"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba22ebbfba03095f407fb90f5a363a384b">operations_research::bop::BopOptimizerBase::SOLUTION_FOUND</a></div><div class="ttdeci">@ SOLUTION_FOUND</div><div class="ttdef"><b>Definition:</b> <a href="bop__base_8h_source.html#l00063">bop_base.h:63</a></div></div>
<div class="ttc" id="aalldiff__cst_8cc_html_a9d0c202d5fdd62f4fa2c613339ff168a"><div class="ttname"><a href="alldiff__cst_8cc.html#a9d0c202d5fdd62f4fa2c613339ff168a">max</a></div><div class="ttdeci">int64 max</div><div class="ttdef"><b>Definition:</b> <a href="alldiff__cst_8cc_source.html#l00139">alldiff_cst.cc:139</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1glop_1_1_l_p_solver_html_a96c1f660991b5007ca24564f69cd27b8"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_l_p_solver.html#a96c1f660991b5007ca24564f69cd27b8">operations_research::glop::LPSolver::GetObjectiveValue</a></div><div class="ttdeci">Fractional GetObjectiveValue() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__solver_8cc_source.html#l00446">lp_solver.cc:446</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_problem_state_html_ac59ff8f3b21bdac22c9c53a7d82ba3ec"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_problem_state.html#ac59ff8f3b21bdac22c9c53a7d82ba3ec">operations_research::bop::ProblemState::solution</a></div><div class="ttdeci">const BopSolution &amp; solution() const</div><div class="ttdef"><b>Definition:</b> <a href="bop__base_8h_source.html#l00193">bop_base.h:193</a></div></div>
<div class="ttc" id="asparse__permutation_8h_html"><div class="ttname"><a href="sparse__permutation_8h.html">sparse_permutation.h</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_sat_solver_html_a9789bf03dba611e9be5679d6e902d0c8"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_sat_solver.html#a9789bf03dba611e9be5679d6e902d0c8">operations_research::sat::SatSolver::Assignment</a></div><div class="ttdeci">const VariablesAssignment &amp; Assignment() const</div><div class="ttdef"><b>Definition:</b> <a href="sat__solver_8h_source.html#l00363">sat_solver.h:363</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_guided_sat_first_solution_generator_html_abb491487def337216dea442161545e72a8be82401707aa36653dc3a55fa0e4c30"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_guided_sat_first_solution_generator.html#abb491487def337216dea442161545e72a8be82401707aa36653dc3a55fa0e4c30">operations_research::bop::GuidedSatFirstSolutionGenerator::Policy::kUserGuided</a></div><div class="ttdeci">@ kUserGuided</div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_problem_state_html_a8572b15c9721e90e09d8ee61c4960395"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_problem_state.html#a8572b15c9721e90e09d8ee61c4960395">operations_research::bop::ProblemState::lower_bound</a></div><div class="ttdeci">int64 lower_bound() const</div><div class="ttdef"><b>Definition:</b> <a href="bop__base_8h_source.html#l00206">bop_base.h:206</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_problem_state_html_ab1661bb9ca5502ddef357acbda49b0ed"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_problem_state.html#ab1661bb9ca5502ddef357acbda49b0ed">operations_research::bop::ProblemState::upper_bound</a></div><div class="ttdeci">int64 upper_bound() const</div><div class="ttdef"><b>Definition:</b> <a href="bop__base_8h_source.html#l00207">bop_base.h:207</a></div></div>
<div class="ttc" id="astructoperations__research_1_1bop_1_1_learned_info_html_aa71d36872f416feaa853788a7a7a7ef8"><div class="ttname"><a href="structoperations__research_1_1bop_1_1_learned_info.html#aa71d36872f416feaa853788a7a7a7ef8">operations_research::bop::LearnedInfo::Clear</a></div><div class="ttdeci">void Clear()</div><div class="ttdef"><b>Definition:</b> <a href="bop__base_8h_source.html#l00255">bop_base.h:255</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1glop_1_1_linear_program_html_a4ba664b00317505a0026d2a38e6dd565"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_linear_program.html#a4ba664b00317505a0026d2a38e6dd565">operations_research::glop::LinearProgram::variable_lower_bounds</a></div><div class="ttdeci">const DenseRow &amp; 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_1bop_1_1_linear_relaxation_html_a8330ac820f311aab1b9c2c8057cc2c3f"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_linear_relaxation.html#a8330ac820f311aab1b9c2c8057cc2c3f">operations_research::bop::LinearRelaxation::Optimize</a></div><div class="ttdeci">Status Optimize(const BopParameters &amp;parameters, const ProblemState &amp;problem_state, LearnedInfo *learned_info, TimeLimit *time_limit) override</div><div class="ttdef"><b>Definition:</b> <a href="bop__fs_8cc_source.html#l00442">bop_fs.cc:442</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_linear_relaxation_html_a8dcd99fe18446bb871246433178a5235"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_linear_relaxation.html#a8dcd99fe18446bb871246433178a5235">operations_research::bop::LinearRelaxation::LinearRelaxation</a></div><div class="ttdeci">LinearRelaxation(const BopParameters &amp;parameters, const std::string &amp;name)</div><div class="ttdef"><b>Definition:</b> <a href="bop__fs_8cc_source.html#l00338">bop_fs.cc:338</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1_a_c_m_random_html_aafba9e8335b3dda5b131589cf852f414"><div class="ttname"><a href="classoperations__research_1_1_a_c_m_random.html#aafba9e8335b3dda5b131589cf852f414">operations_research::ACMRandom::Uniform</a></div><div class="ttdeci">uint32 Uniform(uint32 n)</div><div class="ttdef"><b>Definition:</b> <a href="random_8cc_source.html#l00040">random.cc:40</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_bop_optimizer_base_html_a67a0db04d321a74b7e7fcfd3f1a3f70ba72c2402449caa8f3edc8aa0a3816baed"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba72c2402449caa8f3edc8aa0a3816baed">operations_research::bop::BopOptimizerBase::LIMIT_REACHED</a></div><div class="ttdeci">@ LIMIT_REACHED</div><div class="ttdef"><b>Definition:</b> <a href="bop__base_8h_source.html#l00065">bop_base.h:65</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_guided_sat_first_solution_generator_html_a333c05e80843ee46f4428d3e6482b17e"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_guided_sat_first_solution_generator.html#a333c05e80843ee46f4428d3e6482b17e">operations_research::bop::GuidedSatFirstSolutionGenerator::ShouldBeRun</a></div><div class="ttdeci">bool ShouldBeRun(const ProblemState &amp;problem_state) const override</div><div class="ttdef"><b>Definition:</b> <a href="bop__fs_8cc_source.html#l00145">bop_fs.cc:145</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_guided_sat_first_solution_generator_html_abb491487def337216dea442161545e72a3f0f0fd0a58407608ee43194b8bde37b"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_guided_sat_first_solution_generator.html#abb491487def337216dea442161545e72a3f0f0fd0a58407608ee43194b8bde37b">operations_research::bop::GuidedSatFirstSolutionGenerator::Policy::kLpGuided</a></div><div class="ttdeci">@ kLpGuided</div></div>
<div class="ttc" id="asymmetry_8h_html"><div class="ttname"><a href="symmetry_8h.html">symmetry.h</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_sat_solver_html"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_sat_solver.html">operations_research::sat::SatSolver</a></div><div class="ttdef"><b>Definition:</b> <a href="sat__solver_8h_source.html#l00058">sat_solver.h:58</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_problem_state_html_a3879087a2b376a3a0557224e16c2c82c"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_problem_state.html#a3879087a2b376a3a0557224e16c2c82c">operations_research::bop::ProblemState::lp_values</a></div><div class="ttdeci">const glop::DenseRow &amp; lp_values() const</div><div class="ttdef"><b>Definition:</b> <a href="bop__base_8h_source.html#l00188">bop_base.h:188</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1glop_1_1_linear_program_html_a62b98dec38b6506442f9fc63f1a9b88f"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_linear_program.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>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_bop_random_first_solution_generator_html_a333c05e80843ee46f4428d3e6482b17e"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_bop_random_first_solution_generator.html#a333c05e80843ee46f4428d3e6482b17e">operations_research::bop::BopRandomFirstSolutionGenerator::ShouldBeRun</a></div><div class="ttdeci">bool ShouldBeRun(const ProblemState &amp;problem_state) const override</div><div class="ttdef"><b>Definition:</b> <a href="bop__fs_8cc_source.html#l00221">bop_fs.cc:221</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="abase_2logging_8h_html_a4bd2e815ca2f702a4b6aa744b1ff3b82"><div class="ttname"><a href="base_2logging_8h.html#a4bd2e815ca2f702a4b6aa744b1ff3b82">CHECK_LT</a></div><div class="ttdeci">#define CHECK_LT(val1, val2)</div><div class="ttdef"><b>Definition:</b> <a href="base_2logging_8h_source.html#l00700">base/logging.h:700</a></div></div>
<div class="ttc" id="astructoperations__research_1_1bop_1_1_learned_info_html_aa055411f4c53125132922079d33e535f"><div class="ttname"><a href="structoperations__research_1_1bop_1_1_learned_info.html#aa055411f4c53125132922079d33e535f">operations_research::bop::LearnedInfo::solution</a></div><div class="ttdeci">BopSolution solution</div><div class="ttdef"><b>Definition:</b> <a href="bop__base_8h_source.html#l00266">bop_base.h:266</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_sat_solver_html_ac714aeb75f0f6dd87e52e5d1a0d6edc7"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_sat_solver.html#ac714aeb75f0f6dd87e52e5d1a0d6edc7">operations_research::sat::SatSolver::RestoreSolverToAssumptionLevel</a></div><div class="ttdeci">bool RestoreSolverToAssumptionLevel()</div><div class="ttdef"><b>Definition:</b> <a href="sat__solver_8cc_source.html#l00511">sat_solver.cc:511</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">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>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_sat_solver_html_a67a0db04d321a74b7e7fcfd3f1a3f70ba03f919221217f95d21a593a7120165e1"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_sat_solver.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba03f919221217f95d21a593a7120165e1">operations_research::sat::SatSolver::FEASIBLE</a></div><div class="ttdeci">@ FEASIBLE</div><div class="ttdef"><b>Definition:</b> <a href="sat__solver_8h_source.html#l00184">sat_solver.h:184</a></div></div>
<div class="ttc" id="anamespaceoperations__research_1_1bop_html_a2c3c1538ecc101963e5c92ff9bfb33bb"><div class="ttname"><a href="namespaceoperations__research_1_1bop.html#a2c3c1538ecc101963e5c92ff9bfb33bb">operations_research::bop::LoadStateProblemToSatSolver</a></div><div class="ttdeci">BopOptimizerBase::Status LoadStateProblemToSatSolver(const ProblemState &amp;problem_state, sat::SatSolver *sat_solver)</div><div class="ttdef"><b>Definition:</b> <a href="bop__util_8cc_source.html#l00087">bop_util.cc:87</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_bop_optimizer_base_html_a67a0db04d321a74b7e7fcfd3f1a3f70ba896e21bf00faf87ec96b7d126be0641b"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba896e21bf00faf87ec96b7d126be0641b">operations_research::bop::BopOptimizerBase::INFORMATION_FOUND</a></div><div class="ttdeci">@ INFORMATION_FOUND</div><div class="ttdef"><b>Definition:</b> <a href="bop__base_8h_source.html#l00072">bop_base.h:72</a></div></div>
<div class="ttc" id="anamespaceoperations__research_1_1sat_html_a6986d13a746e6577bcf0cb190aef8113"><div class="ttname"><a href="namespaceoperations__research_1_1sat.html#a6986d13a746e6577bcf0cb190aef8113">operations_research::sat::FindLinearBooleanProblemSymmetries</a></div><div class="ttdeci">void FindLinearBooleanProblemSymmetries(const LinearBooleanProblem &amp;problem, std::vector&lt; std::unique_ptr&lt; SparsePermutation &gt;&gt; *generators)</div><div class="ttdef"><b>Definition:</b> <a href="boolean__problem_8cc_source.html#l00670">boolean_problem.cc:670</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_bop_optimizer_base_html"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html">operations_research::bop::BopOptimizerBase</a></div><div class="ttdef"><b>Definition:</b> <a href="bop__base_8h_source.html#l00040">bop_base.h:40</a></div></div>
<div class="ttc" id="aintegral__types_8h_html_a7cde0074dfd288f2d70c0e035dacb28a"><div class="ttname"><a href="integral__types_8h.html#a7cde0074dfd288f2d70c0e035dacb28a">int64</a></div><div class="ttdeci">int64_t int64</div><div class="ttdef"><b>Definition:</b> <a href="integral__types_8h_source.html#l00034">integral_types.h:34</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="anamespaceoperations__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 &amp;problem, glop::LinearProgram *lp)</div><div class="ttdef"><b>Definition:</b> <a href="sat_2lp__utils_8cc_source.html#l01090">sat/lp_utils.cc:1090</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1_time_limit_html"><div class="ttname"><a href="classoperations__research_1_1_time_limit.html">operations_research::TimeLimit</a></div><div class="ttdoc">A simple class to enforce both an elapsed time limit and a deterministic time limit in the same threa...</div><div class="ttdef"><b>Definition:</b> <a href="time__limit_8h_source.html#l00105">time_limit.h:105</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_guided_sat_first_solution_generator_html_a5a32089ec52d7ec29b30e1d164f21f14"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_guided_sat_first_solution_generator.html#a5a32089ec52d7ec29b30e1d164f21f14">operations_research::bop::GuidedSatFirstSolutionGenerator::~GuidedSatFirstSolutionGenerator</a></div><div class="ttdeci">~GuidedSatFirstSolutionGenerator() override</div><div class="ttdef"><b>Definition:</b> <a href="bop__fs_8cc_source.html#l00085">bop_fs.cc:85</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_sat_solver_html_a67a0db04d321a74b7e7fcfd3f1a3f70ba2884fa43446c0cbc9c7a9b74d41d7483"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_sat_solver.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba2884fa43446c0cbc9c7a9b74d41d7483">operations_research::sat::SatSolver::INFEASIBLE</a></div><div class="ttdeci">@ INFEASIBLE</div><div class="ttdef"><b>Definition:</b> <a href="sat__solver_8h_source.html#l00183">sat_solver.h:183</a></div></div>
<div class="ttc" id="ainterval_8cc_html_a1e6e18599bc7057307916e1f810f83a8"><div class="ttname"><a href="interval_8cc.html#a1e6e18599bc7057307916e1f810f83a8">offset_</a></div><div class="ttdeci">const int64 offset_</div><div class="ttdef"><b>Definition:</b> <a href="interval_8cc_source.html#l02076">interval.cc:2076</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_problem_state_html_a64ae791bca42eca0e2155e81c36420c1"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_problem_state.html#a64ae791bca42eca0e2155e81c36420c1">operations_research::bop::ProblemState::IsVariableFixed</a></div><div class="ttdeci">bool IsVariableFixed(VariableIndex var) const</div><div class="ttdef"><b>Definition:</b> <a href="bop__base_8h_source.html#l00172">bop_base.h:172</a></div></div>
<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>
<div class="ttc" id="aclassoperations__research_1_1glop_1_1_linear_program_html_ad9d564651057c77b3f2ca1293134557f"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_linear_program.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_1_linear_program_html_aa71d36872f416feaa853788a7a7a7ef8"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_linear_program.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>
<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>
<div class="ttc" id="anamespaceoperations__research_1_1sat_html_a40254eb00d4590a09d811fe94c727c2a"><div class="ttname"><a href="namespaceoperations__research_1_1sat.html#a40254eb00d4590a09d811fe94c727c2a">operations_research::sat::UseObjectiveForSatAssignmentPreference</a></div><div class="ttdeci">void UseObjectiveForSatAssignmentPreference(const LinearBooleanProblem &amp;problem, SatSolver *solver)</div><div class="ttdef"><b>Definition:</b> <a href="boolean__problem_8cc_source.html#l00307">boolean_problem.cc:307</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1_m_t_random_html"><div class="ttname"><a href="classoperations__research_1_1_m_t_random.html">operations_research::MTRandom</a></div><div class="ttdef"><b>Definition:</b> <a href="random_8h_source.html#l00055">random.h:55</a></div></div>
<div class="ttc" id="anamespaceoperations__research_1_1bop_html_a49c2b7c159260e338438fc2e167a0c3d"><div class="ttname"><a href="namespaceoperations__research_1_1bop.html#a49c2b7c159260e338438fc2e167a0c3d">operations_research::bop::SatAssignmentToBopSolution</a></div><div class="ttdeci">void SatAssignmentToBopSolution(const sat::VariablesAssignment &amp;assignment, BopSolution *solution)</div><div class="ttdef"><b>Definition:</b> <a href="bop__util_8cc_source.html#l00121">bop_util.cc:121</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_problem_state_html_aeaca226d7e7f24e77774648e93088b5f"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_problem_state.html#aeaca226d7e7f24e77774648e93088b5f">operations_research::bop::ProblemState::is_fixed</a></div><div class="ttdeci">const absl::StrongVector&lt; VariableIndex, bool &gt; &amp; is_fixed() const</div><div class="ttdef"><b>Definition:</b> <a href="bop__base_8h_source.html#l00173">bop_base.h:173</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_bop_optimizer_base_html_a67a0db04d321a74b7e7fcfd3f1a3f70ba2884fa43446c0cbc9c7a9b74d41d7483"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba2884fa43446c0cbc9c7a9b74d41d7483">operations_research::bop::BopOptimizerBase::INFEASIBLE</a></div><div class="ttdeci">@ INFEASIBLE</div><div class="ttdef"><b>Definition:</b> <a href="bop__base_8h_source.html#l00064">bop_base.h:64</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1_nested_time_limit_html"><div class="ttname"><a href="classoperations__research_1_1_nested_time_limit.html">operations_research::NestedTimeLimit</a></div><div class="ttdoc">Provides a way to nest time limits for algorithms where a certain part of the computation is bounded ...</div><div class="ttdef"><b>Definition:</b> <a href="time__limit_8h_source.html#l00425">time_limit.h:425</a></div></div>
<div class="ttc" id="acp__model__solver_8cc_html_ac3cf9db02b23ea1455b5ae6955d03e47"><div class="ttname"><a href="cp__model__solver_8cc.html#ac3cf9db02b23ea1455b5ae6955d03e47">time_limit</a></div><div class="ttdeci">SharedTimeLimit * time_limit</div><div class="ttdef"><b>Definition:</b> <a href="cp__model__solver_8cc_source.html#l02103">cp_model_solver.cc:2103</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1glop_1_1_linear_program_html_a0fe7ba825c8c6cd1efdcff6dec631093"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_linear_program.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>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_bop_random_first_solution_generator_html_a75867bf55193845e840cc7cbdbdce8c1"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_bop_random_first_solution_generator.html#a75867bf55193845e840cc7cbdbdce8c1">operations_research::bop::BopRandomFirstSolutionGenerator::BopRandomFirstSolutionGenerator</a></div><div class="ttdeci">BopRandomFirstSolutionGenerator(const std::string &amp;name, const BopParameters &amp;parameters, sat::SatSolver *sat_propagator, MTRandom *random)</div><div class="ttdef"><b>Definition:</b> <a href="bop__fs_8cc_source.html#l00211">bop_fs.cc:211</a></div></div>
<div class="ttc" id="astructoperations__research_1_1bop_1_1_learned_info_html"><div class="ttname"><a href="structoperations__research_1_1bop_1_1_learned_info.html">operations_research::bop::LearnedInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="bop__base_8h_source.html#l00245">bop_base.h:245</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_sat_solver_html_a1cf106c907fb0a4114a08a76ae2e874f"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_sat_solver.html#a1cf106c907fb0a4114a08a76ae2e874f">operations_research::sat::SatSolver::ResetDecisionHeuristicAndSetAllPreferences</a></div><div class="ttdeci">void ResetDecisionHeuristicAndSetAllPreferences(const std::vector&lt; std::pair&lt; Literal, double &gt;&gt; &amp;prefs)</div><div class="ttdef"><b>Definition:</b> <a href="sat__solver_8h_source.html#l00160">sat_solver.h:160</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_problem_state_html"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_problem_state.html">operations_research::bop::ProblemState</a></div><div class="ttdef"><b>Definition:</b> <a href="bop__base_8h_source.html#l00111">bop_base.h:111</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_guided_sat_first_solution_generator_html_a3416483a42a835b1803abcfd570b9271"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_guided_sat_first_solution_generator.html#a3416483a42a835b1803abcfd570b9271">operations_research::bop::GuidedSatFirstSolutionGenerator::GuidedSatFirstSolutionGenerator</a></div><div class="ttdeci">GuidedSatFirstSolutionGenerator(const std::string &amp;name, Policy policy)</div><div class="ttdef"><b>Definition:</b> <a href="bop__fs_8cc_source.html#l00077">bop_fs.cc:77</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_sat_solver_html_a1dc177ee88f0a7ce2e46a032e5c3cf02"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_sat_solver.html#a1dc177ee88f0a7ce2e46a032e5c3cf02">operations_research::sat::SatSolver::ResetDecisionHeuristic</a></div><div class="ttdeci">void ResetDecisionHeuristic()</div><div class="ttdef"><b>Definition:</b> <a href="sat__solver_8h_source.html#l00157">sat_solver.h:157</a></div></div>
<div class="ttc" id="abase_2logging_8h_html_a7c0ce053b28d53aa4eaf3eb7fb71663b"><div class="ttname"><a href="base_2logging_8h.html#a7c0ce053b28d53aa4eaf3eb7fb71663b">CHECK_EQ</a></div><div class="ttdeci">#define CHECK_EQ(val1, val2)</div><div class="ttdef"><b>Definition:</b> <a href="base_2logging_8h_source.html#l00697">base/logging.h:697</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_linear_relaxation_html_ab128c472edf63eacbd2712f97ec55072"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_linear_relaxation.html#ab128c472edf63eacbd2712f97ec55072">operations_research::bop::LinearRelaxation::~LinearRelaxation</a></div><div class="ttdeci">~LinearRelaxation() override</div><div class="ttdef"><b>Definition:</b> <a href="bop__fs_8cc_source.html#l00353">bop_fs.cc:353</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1glop_1_1_linear_program_html_a18b017687d9940cc46c92e3937a18882"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_linear_program.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_1bop_1_1_bop_solution_html_a5a7e1c8c6e190403753beff6168d66a8"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_bop_solution.html#a5a7e1c8c6e190403753beff6168d66a8">operations_research::bop::BopSolution::GetScaledCost</a></div><div class="ttdeci">double GetScaledCost() const</div><div class="ttdef"><b>Definition:</b> <a href="bop__solution_8h_source.html#l00061">bop_solution.h:61</a></div></div>
<div class="ttc" id="anamespaceoperations__research_1_1bop_html_a717f3da5a33db3ffe67861f8731b254a"><div class="ttname"><a href="namespaceoperations__research_1_1bop.html#a717f3da5a33db3ffe67861f8731b254a">operations_research::bop::ExtractLearnedInfoFromSatSolver</a></div><div class="ttdeci">void ExtractLearnedInfoFromSatSolver(sat::SatSolver *solver, LearnedInfo *info)</div><div class="ttdef"><b>Definition:</b> <a href="bop__util_8cc_source.html#l00098">bop_util.cc:98</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_problem_state_html_a502bf851b64f372f3388d57abbb2fee4"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_problem_state.html#a502bf851b64f372f3388d57abbb2fee4">operations_research::bop::ProblemState::NewlyAddedBinaryClauses</a></div><div class="ttdeci">const std::vector&lt; sat::BinaryClause &gt; &amp; NewlyAddedBinaryClauses() const</div><div class="ttdef"><b>Definition:</b> <a href="bop__base_8cc_source.html#l00247">bop_base.cc:247</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1glop_1_1_linear_program_html_a2d695f450ae446d5d9c225b991f8d88e"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_linear_program.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>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_problem_state_html_a1b5ceea7aa96a97466f8e91036367a5b"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_problem_state.html#a1b5ceea7aa96a97466f8e91036367a5b">operations_research::bop::ProblemState::original_problem</a></div><div class="ttdeci">const sat::LinearBooleanProblem &amp; original_problem() const</div><div class="ttdef"><b>Definition:</b> <a href="bop__base_8h_source.html#l00198">bop_base.h:198</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_sat_solver_html_a05725f6398ef1b0d50c87c4d9e719260"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_sat_solver.html#a05725f6398ef1b0d50c87c4d9e719260">operations_research::sat::SatSolver::AllPreferences</a></div><div class="ttdeci">std::vector&lt; std::pair&lt; Literal, double &gt; &gt; AllPreferences() const</div><div class="ttdef"><b>Definition:</b> <a href="sat__solver_8h_source.html#l00154">sat_solver.h:154</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_problem_state_html_a1ed06d9386fc5510b8f78c745726f539"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_problem_state.html#a1ed06d9386fc5510b8f78c745726f539">operations_research::bop::ProblemState::assignment_preference</a></div><div class="ttdeci">const std::vector&lt; bool &gt; assignment_preference() const</div><div class="ttdef"><b>Definition:</b> <a href="bop__base_8h_source.html#l00127">bop_base.h:127</a></div></div>
<div class="ttc" id="anamespaceoperations__research_1_1glop_html_a509c4e359e6f7041eddfac3f1c46a92f"><div class="ttname"><a href="namespaceoperations__research_1_1glop.html#a509c4e359e6f7041eddfac3f1c46a92f">operations_research::glop::GetProblemStatusString</a></div><div class="ttdeci">std::string GetProblemStatusString(ProblemStatus problem_status)</div><div class="ttdef"><b>Definition:</b> <a href="lp__types_8cc_source.html#l00019">lp_types.cc:19</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_guided_sat_first_solution_generator_html_abb491487def337216dea442161545e72ac5be1c29e0f1d21d4ed634bd969ea60d"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_guided_sat_first_solution_generator.html#abb491487def337216dea442161545e72ac5be1c29e0f1d21d4ed634bd969ea60d">operations_research::bop::GuidedSatFirstSolutionGenerator::Policy::kObjectiveGuided</a></div><div class="ttdeci">@ kObjectiveGuided</div></div>
<div class="ttc" id="aclassoperations__research_1_1glop_1_1_linear_program_html_a1c4c019028d8b012b9d10e0a17bfaf4e"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_linear_program.html#a1c4c019028d8b012b9d10e0a17bfaf4e">operations_research::glop::LinearProgram::SetConstraintName</a></div><div class="ttdeci">void SetConstraintName(RowIndex row, absl::string_view 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="aclassoperations__research_1_1bop_1_1_bop_optimizer_base_html_a67a0db04d321a74b7e7fcfd3f1a3f70bae276c6d6c33441e7bc41f349a9ba39e2"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70bae276c6d6c33441e7bc41f349a9ba39e2">operations_research::bop::BopOptimizerBase::OPTIMAL_SOLUTION_FOUND</a></div><div class="ttdeci">@ OPTIMAL_SOLUTION_FOUND</div><div class="ttdef"><b>Definition:</b> <a href="bop__base_8h_source.html#l00062">bop_base.h:62</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_sat_solver_html_a42c1fced0014f47ce16a512d454cee0f"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_sat_solver.html#a42c1fced0014f47ce16a512d454cee0f">operations_research::sat::SatSolver::num_failures</a></div><div class="ttdeci">int64 num_failures() const</div><div class="ttdef"><b>Definition:</b> <a href="sat__solver_8cc_source.html#l00084">sat_solver.cc:84</a></div></div>
<div class="ttc" id="astructoperations__research_1_1bop_1_1_learned_info_html_ad9847fd6c05481cd3c2d5ca7471b8e7f"><div class="ttname"><a href="structoperations__research_1_1bop_1_1_learned_info.html#ad9847fd6c05481cd3c2d5ca7471b8e7f">operations_research::bop::LearnedInfo::lower_bound</a></div><div class="ttdeci">int64 lower_bound</div><div class="ttdef"><b>Definition:</b> <a href="bop__base_8h_source.html#l00269">bop_base.h:269</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_literal_html"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_literal.html">operations_research::sat::Literal</a></div><div class="ttdef"><b>Definition:</b> <a href="sat__base_8h_source.html#l00064">sat_base.h:64</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1glop_1_1_l_p_solver_html_a79f4b1dff56ea4e839e0d380019c4869"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_l_p_solver.html#a79f4b1dff56ea4e839e0d380019c4869">operations_research::glop::LPSolver::variable_values</a></div><div class="ttdeci">const DenseRow &amp; variable_values() const</div><div class="ttdef"><b>Definition:</b> <a href="lp__solver_8h_source.html#l00100">lp_solver.h:100</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_guided_sat_first_solution_generator_html_abb491487def337216dea442161545e72abe3cf98bda0f221392a76da269cf4fd8"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_guided_sat_first_solution_generator.html#abb491487def337216dea442161545e72abe3cf98bda0f221392a76da269cf4fd8">operations_research::bop::GuidedSatFirstSolutionGenerator::Policy::kNotGuided</a></div><div class="ttdeci">@ kNotGuided</div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_bop_random_first_solution_generator_html_a9790287c83013442016e37457149fa58"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_bop_random_first_solution_generator.html#a9790287c83013442016e37457149fa58">operations_research::bop::BopRandomFirstSolutionGenerator::~BopRandomFirstSolutionGenerator</a></div><div class="ttdeci">~BopRandomFirstSolutionGenerator() override</div><div class="ttdef"><b>Definition:</b> <a href="bop__fs_8cc_source.html#l00218">bop_fs.cc:218</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_guided_sat_first_solution_generator_html_abb491487def337216dea442161545e72"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_guided_sat_first_solution_generator.html#abb491487def337216dea442161545e72">operations_research::bop::GuidedSatFirstSolutionGenerator::Policy</a></div><div class="ttdeci">Policy</div><div class="ttdef"><b>Definition:</b> <a href="bop__fs_8h_source.html#l00045">bop_fs.h:45</a></div></div>
<div class="ttc" id="alp__print__utils_8h_html"><div class="ttname"><a href="lp__print__utils_8h.html">lp_print_utils.h</a></div></div>
<div class="ttc" id="anamespaceoperations__research_1_1glop_html_ae8a885303349cb7807c7c87b405bc0c9af00c8dbdd6e1f11bdae06be94277d293"><div class="ttname"><a href="namespaceoperations__research_1_1glop.html#ae8a885303349cb7807c7c87b405bc0c9af00c8dbdd6e1f11bdae06be94277d293">operations_research::glop::ProblemStatus::OPTIMAL</a></div><div class="ttdeci">@ OPTIMAL</div></div>
<div class="ttc" id="aclassoperations__research_1_1glop_1_1_l_p_solver_html_ae3f158ad37c1fe375d465875fb8130f2"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_l_p_solver.html#ae3f158ad37c1fe375d465875fb8130f2">operations_research::glop::LPSolver::SolveWithTimeLimit</a></div><div class="ttdeci">ABSL_MUST_USE_RESULT ProblemStatus SolveWithTimeLimit(const LinearProgram &amp;lp, TimeLimit *time_limit)</div><div class="ttdef"><b>Definition:</b> <a href="lp__solver_8cc_source.html#l00127">lp_solver.cc:127</a></div></div>
<div class="ttc" id="astructoperations__research_1_1bop_1_1_learned_info_html_a92c51be8c0b7ed3142c363875d361967"><div class="ttname"><a href="structoperations__research_1_1bop_1_1_learned_info.html#a92c51be8c0b7ed3142c363875d361967">operations_research::bop::LearnedInfo::lp_values</a></div><div class="ttdeci">glop::DenseRow lp_values</div><div class="ttdef"><b>Definition:</b> <a href="bop__base_8h_source.html#l00275">bop_base.h:275</a></div></div>
<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="aclassoperations__research_1_1bop_1_1_bop_solution_html_a894d87c5fddfc463c3ca3c779ba7f997"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_bop_solution.html#a894d87c5fddfc463c3ca3c779ba7f997">operations_research::bop::BopSolution::IsFeasible</a></div><div class="ttdeci">bool IsFeasible() const</div><div class="ttdef"><b>Definition:</b> <a href="bop__solution_8h_source.html#l00069">bop_solution.h:69</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="aclassoperations__research_1_1bop_1_1_problem_state_html_a09cb3e7138fa0717b6683fff4c8fa179"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_problem_state.html#a09cb3e7138fa0717b6683fff4c8fa179">operations_research::bop::ProblemState::GetParameters</a></div><div class="ttdeci">const BopParameters &amp; GetParameters() const</div><div class="ttdef"><b>Definition:</b> <a href="bop__base_8h_source.html#l00120">bop_base.h:120</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>
<div class="ttc" id="aclassoperations__research_1_1glop_1_1_linear_program_html_accdd045ec09206640c2338524da77d23"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_linear_program.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>
<div class="ttc" id="astl__util_8h_html"><div class="ttname"><a href="stl__util_8h.html">stl_util.h</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_sat_solver_html_ac035378cea0ed7b0978105547402faa8"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_sat_solver.html#ac035378cea0ed7b0978105547402faa8">operations_research::sat::SatSolver::Backtrack</a></div><div class="ttdeci">void Backtrack(int target_level)</div><div class="ttdef"><b>Definition:</b> <a href="sat__solver_8cc_source.html#l00888">sat_solver.cc:888</a></div></div>
<div class="ttc" id="anamespaceoperations__research_1_1glop_html_ae8a885303349cb7807c7c87b405bc0c9afaee4ca3c30ee18148ce3ada37466498"><div class="ttname"><a href="namespaceoperations__research_1_1glop.html#ae8a885303349cb7807c7c87b405bc0c9afaee4ca3c30ee18148ce3ada37466498">operations_research::glop::ProblemStatus::INIT</a></div><div class="ttdeci">@ INIT</div></div>
<div class="ttc" id="asat_2lp__utils_8h_html"><div class="ttname"><a href="sat_2lp__utils_8h.html">lp_utils.h</a></div></div>
<div class="ttc" id="aboolean__problem_8h_html"><div class="ttname"><a href="boolean__problem_8h.html">boolean_problem.h</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_linear_relaxation_html_a333c05e80843ee46f4428d3e6482b17e"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_linear_relaxation.html#a333c05e80843ee46f4428d3e6482b17e">operations_research::bop::LinearRelaxation::ShouldBeRun</a></div><div class="ttdeci">bool ShouldBeRun(const ProblemState &amp;problem_state) const override</div><div class="ttdef"><b>Definition:</b> <a href="bop__fs_8cc_source.html#l00437">bop_fs.cc:437</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_guided_sat_first_solution_generator_html_a8330ac820f311aab1b9c2c8057cc2c3f"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_guided_sat_first_solution_generator.html#a8330ac820f311aab1b9c2c8057cc2c3f">operations_research::bop::GuidedSatFirstSolutionGenerator::Optimize</a></div><div class="ttdeci">Status Optimize(const BopParameters &amp;parameters, const ProblemState &amp;problem_state, LearnedInfo *learned_info, TimeLimit *time_limit) override</div><div class="ttdef"><b>Definition:</b> <a href="bop__fs_8cc_source.html#l00158">bop_fs.cc:158</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1glop_1_1_l_p_solver_html_ae7202d055b6b172a8a1da4f5b136f9ea"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_l_p_solver.html#ae7202d055b6b172a8a1da4f5b136f9ea">operations_research::glop::LPSolver::SetParameters</a></div><div class="ttdeci">void SetParameters(const GlopParameters &amp;parameters)</div><div class="ttdef"><b>Definition:</b> <a href="lp__solver_8cc_source.html#l00113">lp_solver.cc:113</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_sat_solver_html_a27e14216f4d9330375fc0089a1919f20"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_sat_solver.html#a27e14216f4d9330375fc0089a1919f20">operations_research::sat::SatSolver::SolveWithTimeLimit</a></div><div class="ttdeci">Status SolveWithTimeLimit(TimeLimit *time_limit)</div><div class="ttdef"><b>Definition:</b> <a href="sat__solver_8cc_source.html#l00968">sat_solver.cc:968</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_bop_optimizer_base_html_a67a0db04d321a74b7e7fcfd3f1a3f70ba49959dd441dcda75d6898cf2c68fb374"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba49959dd441dcda75d6898cf2c68fb374">operations_research::bop::BopOptimizerBase::CONTINUE</a></div><div class="ttdeci">@ CONTINUE</div><div class="ttdef"><b>Definition:</b> <a href="bop__base_8h_source.html#l00076">bop_base.h:76</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_bop_solution_html_addc792cd6ed6abf01b5018c4832a4681"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_bop_solution.html#addc792cd6ed6abf01b5018c4832a4681">operations_research::bop::BopSolution::GetCost</a></div><div class="ttdeci">int64 GetCost() const</div><div class="ttdef"><b>Definition:</b> <a href="bop__solution_8h_source.html#l00050">bop_solution.h:50</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_sat_solver_html_a1a5e26554d014197de9434d2c39e07e9"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_sat_solver.html#a1a5e26554d014197de9434d2c39e07e9">operations_research::sat::SatSolver::parameters</a></div><div class="ttdeci">const SatParameters &amp; parameters() const</div><div class="ttdef"><b>Definition:</b> <a href="sat__solver_8cc_source.html#l00110">sat_solver.cc:110</a></div></div>
<div class="ttc" id="anamespaceoperations__research_1_1sat_html_a07c4372fa55782d13edd24b86130e3ba"><div class="ttname"><a href="namespaceoperations__research_1_1sat.html#a07c4372fa55782d13edd24b86130e3ba">operations_research::sat::AddObjectiveConstraint</a></div><div class="ttdeci">bool AddObjectiveConstraint(const LinearBooleanProblem &amp;problem, bool use_lower_bound, Coefficient lower_bound, bool use_upper_bound, Coefficient upper_bound, SatSolver *solver)</div><div class="ttdef"><b>Definition:</b> <a href="boolean__problem_8cc_source.html#l00336">boolean_problem.cc:336</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_problem_state_html_aa27fa90c75da28fa722a8390d031a604"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_problem_state.html#aa27fa90c75da28fa722a8390d031a604">operations_research::bop::ProblemState::GetVariableFixedValue</a></div><div class="ttdeci">bool GetVariableFixedValue(VariableIndex var) const</div><div class="ttdef"><b>Definition:</b> <a href="bop__base_8h_source.html#l00179">bop_base.h:179</a></div></div>
<div class="ttc" id="anamespaceoperations__research_1_1sat_html_aef1ea7e6296a28c0fa0752328d8cb900"><div class="ttname"><a href="namespaceoperations__research_1_1sat.html#aef1ea7e6296a28c0fa0752328d8cb900">operations_research::sat::RandomizeDecisionHeuristic</a></div><div class="ttdeci">void RandomizeDecisionHeuristic(URBG *random, SatParameters *parameters)</div><div class="ttdef"><b>Definition:</b> <a href="sat_2util_8h_source.html#l00076">sat/util.h:76</a></div></div>
<div class="ttc" id="aclassabsl_1_1_strong_vector_html_a644718bb2fb240de962dc3c9a1fdf0dc"><div class="ttname"><a href="classabsl_1_1_strong_vector.html#a644718bb2fb240de962dc3c9a1fdf0dc">absl::StrongVector::empty</a></div><div class="ttdeci">bool empty() const</div><div class="ttdef"><b>Definition:</b> <a href="strong__vector_8h_source.html#l00156">strong_vector.h:156</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1glop_1_1_linear_program_html_acd138469679be137d0de53459b1342cb"><div class="ttname"><a href="classoperations__research_1_1glop_1_1_linear_program.html#acd138469679be137d0de53459b1342cb">operations_research::glop::LinearProgram::variable_upper_bounds</a></div><div class="ttdeci">const DenseRow &amp; 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_1bop_1_1_bop_optimizer_base_html_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">operations_research::bop::BopOptimizerBase::Status</a></div><div class="ttdeci">Status</div><div class="ttdef"><b>Definition:</b> <a href="bop__base_8h_source.html#l00061">bop_base.h:61</a></div></div>
<div class="ttc" id="abase_2logging_8h_html_a3e1cfef60e774a81f30eaddf26a3a274"><div class="ttname"><a href="base_2logging_8h.html#a3e1cfef60e774a81f30eaddf26a3a274">CHECK</a></div><div class="ttdeci">#define CHECK(condition)</div><div class="ttdef"><b>Definition:</b> <a href="base_2logging_8h_source.html#l00495">base/logging.h:495</a></div></div>
<div class="ttc" id="acommandlineflags_8h_html"><div class="ttname"><a href="commandlineflags_8h.html">commandlineflags.h</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_sat_solver_html_ad2a33e1d9335cce63548abed6b5c8aab"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_sat_solver.html#ad2a33e1d9335cce63548abed6b5c8aab">operations_research::sat::SatSolver::IsModelUnsat</a></div><div class="ttdeci">bool IsModelUnsat() const</div><div class="ttdef"><b>Definition:</b> <a href="sat__solver_8h_source.html#l00137">sat_solver.h:137</a></div></div>
<div class="ttc" id="acp__model__fz__solver_8cc_html_a10a1eab179b472c030bdc2a2efef7219"><div class="ttname"><a href="cp__model__fz__solver_8cc.html#a10a1eab179b472c030bdc2a2efef7219">parameters</a></div><div class="ttdeci">SatParameters parameters</div><div class="ttdef"><b>Definition:</b> <a href="cp__model__fz__solver_8cc_source.html#l00108">cp_model_fz_solver.cc:108</a></div></div>
<div class="ttc" id="adefault__search_8cc_html_ac673bc430bdc3fdaa09f7becf98ef267"><div class="ttname"><a href="default__search_8cc.html#ac673bc430bdc3fdaa09f7becf98ef267">name</a></div><div class="ttdeci">const std::string name</div><div class="ttdef"><b>Definition:</b> <a href="default__search_8cc_source.html#l00808">default_search.cc:808</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_symmetry_propagator_html"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_symmetry_propagator.html">operations_research::sat::SymmetryPropagator</a></div><div class="ttdef"><b>Definition:</b> <a href="symmetry_8h_source.html#l00061">symmetry.h:61</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_bop_optimizer_base_html_a67a0db04d321a74b7e7fcfd3f1a3f70ba781ad2788df9e25c59a70894c7832096"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_bop_optimizer_base.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba781ad2788df9e25c59a70894c7832096">operations_research::bop::BopOptimizerBase::ABORT</a></div><div class="ttdeci">@ ABORT</div><div class="ttdef"><b>Definition:</b> <a href="bop__base_8h_source.html#l00080">bop_base.h:79</a></div></div>
<div class="ttc" id="abitset_8h_html"><div class="ttname"><a href="bitset_8h.html">bitset.h</a></div></div>
<div class="ttc" id="aintegral__types_8h_html_a74ea76ea27f48fb1b6e148e1577b3719"><div class="ttname"><a href="integral__types_8h.html#a74ea76ea27f48fb1b6e148e1577b3719">kint64max</a></div><div class="ttdeci">static const int64 kint64max</div><div class="ttdef"><b>Definition:</b> <a href="integral__types_8h_source.html#l00062">integral_types.h:62</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1bop_1_1_problem_state_html_a05fdb14439563d77a1ce890279a7c762"><div class="ttname"><a href="classoperations__research_1_1bop_1_1_problem_state.html#a05fdb14439563d77a1ce890279a7c762">operations_research::bop::ProblemState::update_stamp</a></div><div class="ttdeci">int64 update_stamp() const</div><div class="ttdef"><b>Definition:</b> <a href="bop__base_8h_source.html#l00153">bop_base.h:153</a></div></div>
<div class="ttc" id="alp__solver_8h_html"><div class="ttname"><a href="lp__solver_8h.html">lp_solver.h</a></div></div>
<div class="ttc" id="aclassoperations__research_1_1sat_1_1_sat_solver_html_a9d584b84d7b882a6017b072b33475172"><div class="ttname"><a href="classoperations__research_1_1sat_1_1_sat_solver.html#a9d584b84d7b882a6017b072b33475172">operations_research::sat::SatSolver::SetParameters</a></div><div class="ttdeci">void SetParameters(const SatParameters &amp;parameters)</div><div class="ttdef"><b>Definition:</b> <a href="sat__solver_8cc_source.html#l00115">sat_solver.cc:115</a></div></div>
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