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< a href = "feasibility__pump_8h.html" > Go to the documentation of this file.< / a > < div class = "fragment" > < div class = "line" > < a id = "l00001" name = "l00001" > < / a > < span class = "lineno" > 1< / span > < span class = "comment" > // Copyright 2010-2021 Google LLC< / span > < / div >
< div class = "line" > < a id = "l00002" name = "l00002" > < / a > < span class = "lineno" > 2< / span > < span class = "comment" > // Licensed under the Apache License, Version 2.0 (the " License" );< / span > < / div >
< div class = "line" > < a id = "l00003" name = "l00003" > < / a > < span class = "lineno" > 3< / span > < span class = "comment" > // you may not use this file except in compliance with the License.< / span > < / div >
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< div class = "line" > < a id = "l00014" name = "l00014" > < / a > < span class = "lineno" > 14< / span > < span class = "preprocessor" > #ifndef OR_TOOLS_SAT_FEASIBILITY_PUMP_H_< / span > < / div >
< div class = "line" > < a id = "l00015" name = "l00015" > < / a > < span class = "lineno" > 15< / span > < span class = "preprocessor" > #define OR_TOOLS_SAT_FEASIBILITY_PUMP_H_< / span > < / div >
< div class = "line" > < a id = "l00016" name = "l00016" > < / a > < span class = "lineno" > 16< / span > < / div >
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< div class = "line" > < a id = "l00017" name = "l00017" > < / a > < span class = "lineno" > 17< / span > < span class = "preprocessor" > #include < algorithm> < / span > < / div >
< div class = "line" > < a id = "l00018" name = "l00018" > < / a > < span class = "lineno" > 18< / span > < span class = "preprocessor" > #include < cstdint> < / span > < / div >
< div class = "line" > < a id = "l00019" name = "l00019" > < / a > < span class = "lineno" > 19< / span > < span class = "preprocessor" > #include < utility> < / span > < / div >
< div class = "line" > < a id = "l00020" name = "l00020" > < / a > < span class = "lineno" > 20< / span > < span class = "preprocessor" > #include < vector> < / span > < / div >
< div class = "line" > < a id = "l00021" name = "l00021" > < / a > < span class = "lineno" > 21< / span > < / div >
< div class = "line" > < a id = "l00022" name = "l00022" > < / a > < span class = "lineno" > 22< / span > < span class = "preprocessor" > #include " absl/container/flat_hash_map.h" < / span > < / div >
< div class = "line" > < a id = "l00023" name = "l00023" > < / a > < span class = "lineno" > 23< / span > < span class = "preprocessor" > #include " < a class = "code" href = "strong__vector_8h.html" > ortools/base/strong_vector.h< / a > " < / span > < / div >
< div class = "line" > < a id = "l00024" name = "l00024" > < / a > < span class = "lineno" > 24< / span > < span class = "preprocessor" > #include " < a class = "code" href = "revised__simplex_8h.html" > ortools/glop/revised_simplex.h< / a > " < / span > < / div >
< div class = "line" > < a id = "l00025" name = "l00025" > < / a > < span class = "lineno" > 25< / span > < span class = "preprocessor" > #include " < a class = "code" href = "lp__data_8h.html" > ortools/lp_data/lp_data.h< / a > " < / span > < / div >
< div class = "line" > < a id = "l00026" name = "l00026" > < / a > < span class = "lineno" > 26< / span > < span class = "preprocessor" > #include " < a class = "code" href = "lp__data__utils_8h.html" > ortools/lp_data/lp_data_utils.h< / a > " < / span > < / div >
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< div class = "line" > < a id = "l00028" name = "l00028" > < / a > < span class = "lineno" > 28< / span > < span class = "preprocessor" > #include " < a class = "code" href = "cp__model__mapping_8h.html" > ortools/sat/cp_model_mapping.h< / a > " < / span > < / div >
< div class = "line" > < a id = "l00029" name = "l00029" > < / a > < span class = "lineno" > 29< / span > < span class = "preprocessor" > #include " < a class = "code" href = "integer_8h.html" > ortools/sat/integer.h< / a > " < / span > < / div >
< div class = "line" > < a id = "l00030" name = "l00030" > < / a > < span class = "lineno" > 30< / span > < span class = "preprocessor" > #include " < a class = "code" href = "sat_2linear__constraint_8h.html" > ortools/sat/linear_constraint.h< / a > " < / span > < / div >
< div class = "line" > < a id = "l00031" name = "l00031" > < / a > < span class = "lineno" > 31< / span > < span class = "preprocessor" > #include " < a class = "code" href = "sat_2model_8h.html" > ortools/sat/model.h< / a > " < / span > < / div >
< div class = "line" > < a id = "l00032" name = "l00032" > < / a > < span class = "lineno" > 32< / span > < span class = "preprocessor" > #include " < a class = "code" href = "sat__base_8h.html" > ortools/sat/sat_base.h< / a > " < / span > < / div >
< div class = "line" > < a id = "l00033" name = "l00033" > < / a > < span class = "lineno" > 33< / span > < span class = "preprocessor" > #include " ortools/sat/sat_parameters.pb.h" < / span > < / div >
< div class = "line" > < a id = "l00034" name = "l00034" > < / a > < span class = "lineno" > 34< / span > < span class = "preprocessor" > #include " < a class = "code" href = "sat__solver_8h.html" > ortools/sat/sat_solver.h< / a > " < / span > < / div >
< div class = "line" > < a id = "l00035" name = "l00035" > < / a > < span class = "lineno" > 35< / span > < span class = "preprocessor" > #include " < a class = "code" href = "synchronization_8h.html" > ortools/sat/synchronization.h< / a > " < / span > < / div >
< div class = "line" > < a id = "l00036" name = "l00036" > < / a > < span class = "lineno" > 36< / span > < span class = "preprocessor" > #include " < a class = "code" href = "sat_2util_8h.html" > ortools/sat/util.h< / a > " < / span > < / div >
< div class = "line" > < a id = "l00037" name = "l00037" > < / a > < span class = "lineno" > 37< / span > < span class = "preprocessor" > #include " < a class = "code" href = "time__limit_8h.html" > ortools/util/time_limit.h< / a > " < / span > < / div >
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< div class = "line" > < a id = "l00038" name = "l00038" > < / a > < span class = "lineno" > 38< / span > < / div >
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< div class = "line" > < a id = "l00039" name = "l00039" > < / a > < span class = "lineno" > 39< / span > < span class = "keyword" > namespace < / span > < a class = "code hl_namespace" href = "namespaceoperations__research.html" > operations_research< / a > {< / div >
< div class = "line" > < a id = "l00040" name = "l00040" > < / a > < span class = "lineno" > 40< / span > < span class = "keyword" > namespace < / span > sat {< / div >
< div class = "line" > < a id = "l00041" name = "l00041" > < / a > < span class = "lineno" > 41< / span > < / div >
< div class = "line" > < a id = "l00042" name = "l00042" > < / a > < span class = "lineno" > < a class = "line" href = "classoperations__research_1_1sat_1_1_feasibility_pump.html" > 42< / a > < / span > < span class = "keyword" > class < / span > < a class = "code hl_class" href = "classoperations__research_1_1sat_1_1_feasibility_pump.html" > FeasibilityPump< / a > {< / div >
< div class = "line" > < a id = "l00043" name = "l00043" > < / a > < span class = "lineno" > 43< / span > < span class = "keyword" > public< / span > :< / div >
< div class = "line" > < a id = "l00044" name = "l00044" > < / a > < span class = "lineno" > 44< / span > < span class = "keyword" > explicit< / span > < a class = "code hl_function" href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#a477d40d2455543bdf702f13fa36f4ddd" > FeasibilityPump< / a > (< a class = "code hl_class" href = "classoperations__research_1_1sat_1_1_model.html" > Model< / a > * < a class = "code hl_variable" href = "gurobi__interface_8cc.html#a0728f23c9a47655d38e0bf1a2f200bcf" > model< / a > );< / div >
< div class = "line" > < a id = "l00045" name = "l00045" > < / a > < span class = "lineno" > 45< / span > < a class = "code hl_function" href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#a18206039e9f0c76f2b35907a4f6ea812" > ~FeasibilityPump< / a > ();< / div >
< div class = "line" > < a id = "l00046" name = "l00046" > < / a > < span class = "lineno" > 46< / span > < / div >
< div class = "line" > < a id = "l00047" name = "l00047" > < / a > < span class = "lineno" > < a class = "line" href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#a67a7327915e66c0514cfa465a0475be1" > 47< / a > < / span > < span class = "keyword" > typedef< / span > glop::RowIndex < a class = "code hl_typedef" href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#a67a7327915e66c0514cfa465a0475be1" > ConstraintIndex< / a > ;< / div >
< div class = "line" > < a id = "l00048" name = "l00048" > < / a > < span class = "lineno" > 48< / span > < / div >
< div class = "line" > < a id = "l00049" name = "l00049" > < / a > < span class = "lineno" > < a class = "line" href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#a3f83024f314fe4c509e75b691c5513d0" > 49< / a > < / span > < span class = "keywordtype" > void< / span > < a class = "code hl_function" href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#a3f83024f314fe4c509e75b691c5513d0" > SetMaxFPIterations< / a > (< span class = "keywordtype" > int< / span > max_iter) {< / div >
< div class = "line" > < a id = "l00050" name = "l00050" > < / a > < span class = "lineno" > 50< / span > max_fp_iterations_ = < a class = "code hl_variable" href = "alldiff__cst_8cc.html#a26e6db9bcc64b584051ecc28171ed11f" > std::max< / a > (1, max_iter);< / div >
< div class = "line" > < a id = "l00051" name = "l00051" > < / a > < span class = "lineno" > 51< / span > }< / div >
< div class = "line" > < a id = "l00052" name = "l00052" > < / a > < span class = "lineno" > 52< / span > < / div >
< div class = "line" > < a id = "l00053" name = "l00053" > < / a > < span class = "lineno" > 53< / span > < span class = "comment" > // Add a new linear constraint to this LP.< / span > < / div >
< div class = "line" > < a id = "l00054" name = "l00054" > < / a > < span class = "lineno" > 54< / span > < span class = "keywordtype" > void< / span > < a class = "code hl_function" href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#aaac2d8dee4d7fc8d5e9a1b1cfc3021bc" > AddLinearConstraint< / a > (< span class = "keyword" > const< / span > < a class = "code hl_struct" href = "structoperations__research_1_1sat_1_1_linear_constraint.html" > LinearConstraint< / a > & < a class = "code hl_variable" href = "demon__profiler_8cc.html#a05da18ca9c7b657a4a6ea24e07c9b695" > ct< / a > );< / div >
< div class = "line" > < a id = "l00055" name = "l00055" > < / a > < span class = "lineno" > 55< / span > < / div >
< div class = "line" > < a id = "l00056" name = "l00056" > < / a > < span class = "lineno" > 56< / span > < span class = "comment" > // Set the coefficient of the variable in the objective. Calling it twice will< / span > < / div >
< div class = "line" > < a id = "l00057" name = "l00057" > < / a > < span class = "lineno" > 57< / span > < span class = "comment" > // overwrite the previous value. Note that this doesn' t set the objective< / span > < / div >
< div class = "line" > < a id = "l00058" name = "l00058" > < / a > < span class = "lineno" > 58< / span > < span class = "comment" > // coefficient if the variable doesn' t appear in any constraints. So this has< / span > < / div >
< div class = "line" > < a id = "l00059" name = "l00059" > < / a > < span class = "lineno" > 59< / span > < span class = "comment" > // to be called after all the constraints are added.< / span > < / div >
< div class = "line" > < a id = "l00060" name = "l00060" > < / a > < span class = "lineno" > 60< / span > < span class = "keywordtype" > void< / span > < a class = "code hl_function" href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#ae384be06329c4c8f8fd62af7335dae2e" > SetObjectiveCoefficient< / a > (IntegerVariable ivar, IntegerValue < a class = "code hl_variable" href = "variable__and__expressions_8cc.html#a2091cd7d80fdd31762020bce86138587" > coeff< / a > );< / div >
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< div class = "line" > < a id = "l00061" name = "l00061" > < / a > < span class = "lineno" > 61< / span > < / div >
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< div class = "line" > < a id = "l00062" name = "l00062" > < / a > < span class = "lineno" > 62< / span > < span class = "comment" > // Returns the LP value of a variable in the current< / span > < / div >
< div class = "line" > < a id = "l00063" name = "l00063" > < / a > < span class = "lineno" > 63< / span > < span class = "comment" > // solution. These functions should only be called when HasSolution() is true.< / span > < / div >
< div class = "line" > < a id = "l00064" name = "l00064" > < / a > < span class = "lineno" > < a class = "line" href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#ad271ccd28f3680abba2d189a7b78d86c" > 64< / a > < / span > < span class = "keywordtype" > bool< / span > < a class = "code hl_function" href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#ad271ccd28f3680abba2d189a7b78d86c" > HasLPSolution< / a > ()< span class = "keyword" > const < / span > { < span class = "keywordflow" > return< / span > lp_solution_is_set_; }< / div >
< div class = "line" > < a id = "l00065" name = "l00065" > < / a > < span class = "lineno" > < a class = "line" href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#a4a4bc5eab93d6df24cea56b6a29c78ed" > 65< / a > < / span > < span class = "keywordtype" > double< / span > < a class = "code hl_function" href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#a4a4bc5eab93d6df24cea56b6a29c78ed" > LPSolutionObjectiveValue< / a > ()< span class = "keyword" > const < / span > { < span class = "keywordflow" > return< / span > lp_objective_; }< / div >
< div class = "line" > < a id = "l00066" name = "l00066" > < / a > < span class = "lineno" > 66< / span > < span class = "keywordtype" > double< / span > < a class = "code hl_function" href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#a680158afc869b1a617ca173fa0033202" > GetLPSolutionValue< / a > (IntegerVariable variable) < span class = "keyword" > const< / span > ;< / div >
< div class = "line" > < a id = "l00067" name = "l00067" > < / a > < span class = "lineno" > < a class = "line" href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#af8f352bb9045be8c9f938118111e2e2e" > 67< / a > < / span > < span class = "keywordtype" > bool< / span > < a class = "code hl_function" href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#af8f352bb9045be8c9f938118111e2e2e" > LPSolutionIsInteger< / a > ()< span class = "keyword" > const < / span > { < span class = "keywordflow" > return< / span > lp_solution_is_integer_; }< / div >
< div class = "line" > < a id = "l00068" name = "l00068" > < / a > < span class = "lineno" > < a class = "line" href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#a3139c5212b639a866499d0cfb2a28e4f" > 68< / a > < / span > < span class = "keywordtype" > double< / span > < a class = "code hl_function" href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#a3139c5212b639a866499d0cfb2a28e4f" > LPSolutionFractionality< / a > ()< span class = "keyword" > const < / span > { < span class = "keywordflow" > return< / span > lp_solution_fractionality_; }< / div >
< div class = "line" > < a id = "l00069" name = "l00069" > < / a > < span class = "lineno" > 69< / span > < / div >
< div class = "line" > < a id = "l00070" name = "l00070" > < / a > < span class = "lineno" > 70< / span > < span class = "comment" > // Returns the Integer solution value of a variable in the current rounded< / span > < / div >
< div class = "line" > < a id = "l00071" name = "l00071" > < / a > < span class = "lineno" > 71< / span > < span class = "comment" > // solution. These functions should only be called when HasIntegerSolution()< / span > < / div >
< div class = "line" > < a id = "l00072" name = "l00072" > < / a > < span class = "lineno" > 72< / span > < span class = "comment" > // is true.< / span > < / div >
< div class = "line" > < a id = "l00073" name = "l00073" > < / a > < span class = "lineno" > < a class = "line" href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#a0b2361c77d5402a7050af6a2538a09ae" > 73< / a > < / span > < span class = "keywordtype" > bool< / span > < a class = "code hl_function" href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#a0b2361c77d5402a7050af6a2538a09ae" > HasIntegerSolution< / a > ()< span class = "keyword" > const < / span > { < span class = "keywordflow" > return< / span > integer_solution_is_set_; }< / div >
< div class = "line" > < a id = "l00074" name = "l00074" > < / a > < span class = "lineno" > < a class = "line" href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#a5faf3bc77eadb1b687efe379820b7aea" > 74< / a > < / span > int64_t < a class = "code hl_function" href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#a5faf3bc77eadb1b687efe379820b7aea" > IntegerSolutionObjectiveValue< / a > ()< span class = "keyword" > const < / span > {< / div >
< div class = "line" > < a id = "l00075" name = "l00075" > < / a > < span class = "lineno" > 75< / span > < span class = "keywordflow" > return< / span > integer_solution_objective_;< / div >
< div class = "line" > < a id = "l00076" name = "l00076" > < / a > < span class = "lineno" > 76< / span > }< / div >
< div class = "line" > < a id = "l00077" name = "l00077" > < / a > < span class = "lineno" > < a class = "line" href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#acad222fde6e09601cc9d1a7b2481507e" > 77< / a > < / span > < span class = "keywordtype" > bool< / span > < a class = "code hl_function" href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#acad222fde6e09601cc9d1a7b2481507e" > IntegerSolutionIsFeasible< / a > ()< span class = "keyword" > const < / span > {< / div >
< div class = "line" > < a id = "l00078" name = "l00078" > < / a > < span class = "lineno" > 78< / span > < span class = "keywordflow" > return< / span > integer_solution_is_feasible_;< / div >
< div class = "line" > < a id = "l00079" name = "l00079" > < / a > < span class = "lineno" > 79< / span > }< / div >
< div class = "line" > < a id = "l00080" name = "l00080" > < / a > < span class = "lineno" > 80< / span > int64_t < a class = "code hl_function" href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#a9ad847669329f6fbccf8e4553adc7dee" > GetIntegerSolutionValue< / a > (IntegerVariable variable) < span class = "keyword" > const< / span > ;< / div >
< div class = "line" > < a id = "l00081" name = "l00081" > < / a > < span class = "lineno" > 81< / span > < / div >
< div class = "line" > < a id = "l00082" name = "l00082" > < / a > < span class = "lineno" > 82< / span > < span class = "comment" > // Returns false if the model is proven to be infeasible.< / span > < / div >
< div class = "line" > < a id = "l00083" name = "l00083" > < / a > < span class = "lineno" > 83< / span > < span class = "keywordtype" > bool< / span > < a class = "code hl_function" href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#a942f29030f08426e7e318204e987e2f7" > Solve< / a > ();< / div >
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< div class = "line" > < a id = "l00084" name = "l00084" > < / a > < span class = "lineno" > 84< / span > < / div >
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< div class = "line" > < a id = "l00085" name = "l00085" > < / a > < span class = "lineno" > 85< / span > < span class = "keyword" > private< / span > :< / div >
< div class = "line" > < a id = "l00086" name = "l00086" > < / a > < span class = "lineno" > 86< / span > < span class = "comment" > // Solve the LP, returns false if something went wrong in the LP solver.< / span > < / div >
< div class = "line" > < a id = "l00087" name = "l00087" > < / a > < span class = "lineno" > 87< / span > < span class = "keywordtype" > bool< / span > SolveLp();< / div >
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< div class = "line" > < a id = "l00088" name = "l00088" > < / a > < span class = "lineno" > 88< / span > < / div >
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< div class = "line" > < a id = "l00089" name = "l00089" > < / a > < span class = "lineno" > 89< / span > < span class = "comment" > // Calls the specified rounding method in the parameters. Returns false if the< / span > < / div >
< div class = "line" > < a id = "l00090" name = "l00090" > < / a > < span class = "lineno" > 90< / span > < span class = "comment" > // rounding couldn' t be finished.< / span > < / div >
< div class = "line" > < a id = "l00091" name = "l00091" > < / a > < span class = "lineno" > 91< / span > < span class = "keywordtype" > bool< / span > Round();< / div >
< div class = "line" > < a id = "l00092" name = "l00092" > < / a > < span class = "lineno" > 92< / span > < / div >
< div class = "line" > < a id = "l00093" name = "l00093" > < / a > < span class = "lineno" > 93< / span > < span class = "comment" > // Round the fractional LP solution values to nearest integer values. This< / span > < / div >
< div class = "line" > < a id = "l00094" name = "l00094" > < / a > < span class = "lineno" > 94< / span > < span class = "comment" > // rounding always finishes so always returns true.< / span > < / div >
< div class = "line" > < a id = "l00095" name = "l00095" > < / a > < span class = "lineno" > 95< / span > < span class = "keywordtype" > bool< / span > NearestIntegerRounding();< / div >
< div class = "line" > < a id = "l00096" name = "l00096" > < / a > < span class = "lineno" > 96< / span > < / div >
< div class = "line" > < a id = "l00097" name = "l00097" > < / a > < span class = "lineno" > 97< / span > < span class = "comment" > // Counts the number of up and down locks as defined below.< / span > < / div >
< div class = "line" > < a id = "l00098" name = "l00098" > < / a > < span class = "lineno" > 98< / span > < span class = "comment" > // #up_locks = #upper bounded constraints with positive coeff for var< / span > < / div >
< div class = "line" > < a id = "l00099" name = "l00099" > < / a > < span class = "lineno" > 99< / span > < span class = "comment" > // + #lower bounded constraints with negative coeff for var.< / span > < / div >
< div class = "line" > < a id = "l00100" name = "l00100" > < / a > < span class = "lineno" > 100< / span > < span class = "comment" > // #down_locks = #lower bounded constraints with positive coeff for var< / span > < / div >
< div class = "line" > < a id = "l00101" name = "l00101" > < / a > < span class = "lineno" > 101< / span > < span class = "comment" > // + #upper bounded constraints with negative coeff for var.< / span > < / div >
< div class = "line" > < a id = "l00102" name = "l00102" > < / a > < span class = "lineno" > 102< / span > < span class = "comment" > // Rounds the variable in the direction of lesser locks. When the< / span > < / div >
< div class = "line" > < a id = "l00103" name = "l00103" > < / a > < span class = "lineno" > 103< / span > < span class = "comment" > // fractionality is low (less than 0.1), this reverts to nearest integer< / span > < / div >
< div class = "line" > < a id = "l00104" name = "l00104" > < / a > < span class = "lineno" > 104< / span > < span class = "comment" > // rounding to avoid rounding almost integer values in wrong direction.< / span > < / div >
< div class = "line" > < a id = "l00105" name = "l00105" > < / a > < span class = "lineno" > 105< / span > < span class = "comment" > // This rounding always finishes so always returns true.< / span > < / div >
< div class = "line" > < a id = "l00106" name = "l00106" > < / a > < span class = "lineno" > 106< / span > < span class = "keywordtype" > bool< / span > LockBasedRounding();< / div >
< div class = "line" > < a id = "l00107" name = "l00107" > < / a > < span class = "lineno" > 107< / span > < / div >
< div class = "line" > < a id = "l00108" name = "l00108" > < / a > < span class = "lineno" > 108< / span > < span class = "comment" > // Similar to LockBasedRounding except this only considers locks of active< / span > < / div >
< div class = "line" > < a id = "l00109" name = "l00109" > < / a > < span class = "lineno" > 109< / span > < span class = "comment" > // constraints.< / span > < / div >
< div class = "line" > < a id = "l00110" name = "l00110" > < / a > < span class = "lineno" > 110< / span > < span class = "keywordtype" > bool< / span > ActiveLockBasedRounding();< / div >
< div class = "line" > < a id = "l00111" name = "l00111" > < / a > < span class = "lineno" > 111< / span > < / div >
< div class = "line" > < a id = "l00112" name = "l00112" > < / a > < span class = "lineno" > 112< / span > < span class = "comment" > // This is expensive rounding algorithm. We round variables one by one and< / span > < / div >
< div class = "line" > < a id = "l00113" name = "l00113" > < / a > < span class = "lineno" > 113< / span > < span class = "comment" > // propagate the bounds in between. If none of the rounded values fall in< / span > < / div >
< div class = "line" > < a id = "l00114" name = "l00114" > < / a > < span class = "lineno" > 114< / span > < span class = "comment" > // the continuous domain specified by lower and upper bound, we use the< / span > < / div >
< div class = "line" > < a id = "l00115" name = "l00115" > < / a > < span class = "lineno" > 115< / span > < span class = "comment" > // current lower/upper bound (whichever one is closest) instead of rounding< / span > < / div >
< div class = "line" > < a id = "l00116" name = "l00116" > < / a > < span class = "lineno" > 116< / span > < span class = "comment" > // the fractional lp solution value. If both the rounded values are in the< / span > < / div >
< div class = "line" > < a id = "l00117" name = "l00117" > < / a > < span class = "lineno" > 117< / span > < span class = "comment" > // domain, we round to nearest integer. This idea was presented in the paper< / span > < / div >
< div class = "line" > < a id = "l00118" name = "l00118" > < / a > < span class = "lineno" > 118< / span > < span class = "comment" > // " Feasibility pump 2.0" (2009) by Matteo Fischetti, Domenico Salvagnin.< / span > < / div >
< div class = "line" > < a id = "l00119" name = "l00119" > < / a > < span class = "lineno" > 119< / span > < span class = "comment" > //< / span > < / div >
< div class = "line" > < a id = "l00120" name = "l00120" > < / a > < span class = "lineno" > 120< / span > < span class = "comment" > // This rounding might not finish either because the time limit is reached or< / span > < / div >
< div class = "line" > < a id = "l00121" name = "l00121" > < / a > < span class = "lineno" > 121< / span > < span class = "comment" > // the model is detected to be unsat. Returns false in those cases.< / span > < / div >
< div class = "line" > < a id = "l00122" name = "l00122" > < / a > < span class = "lineno" > 122< / span > < span class = "keywordtype" > bool< / span > PropagationRounding();< / div >
< div class = "line" > < a id = "l00123" name = "l00123" > < / a > < span class = "lineno" > 123< / span > < / div >
< div class = "line" > < a id = "l00124" name = "l00124" > < / a > < span class = "lineno" > 124< / span > < span class = "keywordtype" > void< / span > FillIntegerSolutionStats();< / div >
< div class = "line" > < a id = "l00125" name = "l00125" > < / a > < span class = "lineno" > 125< / span > < / div >
< div class = "line" > < a id = "l00126" name = "l00126" > < / a > < span class = "lineno" > 126< / span > < span class = "comment" > // Loads the lp_data_.< / span > < / div >
< div class = "line" > < a id = "l00127" name = "l00127" > < / a > < span class = "lineno" > 127< / span > < span class = "keywordtype" > void< / span > InitializeWorkingLP();< / div >
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< div class = "line" > < a id = "l00128" name = "l00128" > < / a > < span class = "lineno" > 128< / span > < / div >
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< div class = "line" > < a id = "l00129" name = "l00129" > < / a > < span class = "lineno" > 129< / span > < span class = "comment" > // Changes the LP objective and bounds of the norm constraints so the new< / span > < / div >
< div class = "line" > < a id = "l00130" name = "l00130" > < / a > < span class = "lineno" > 130< / span > < span class = "comment" > // objective also tries to minimize the distance to the rounded solution.< / span > < / div >
< div class = "line" > < a id = "l00131" name = "l00131" > < / a > < span class = "lineno" > 131< / span > < span class = "keywordtype" > void< / span > L1DistanceMinimize();< / div >
< div class = "line" > < a id = "l00132" name = "l00132" > < / a > < span class = "lineno" > 132< / span > < / div >
< div class = "line" > < a id = "l00133" name = "l00133" > < / a > < span class = "lineno" > 133< / span > < span class = "comment" > // Stores the solutions in the shared repository. Stores LP solution if it is< / span > < / div >
< div class = "line" > < a id = "l00134" name = "l00134" > < / a > < span class = "lineno" > 134< / span > < span class = "comment" > // integer and stores the integer solution if it is feasible.< / span > < / div >
< div class = "line" > < a id = "l00135" name = "l00135" > < / a > < span class = "lineno" > 135< / span > < span class = "keywordtype" > void< / span > MaybePushToRepo();< / div >
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< div class = "line" > < a id = "l00136" name = "l00136" > < / a > < span class = "lineno" > 136< / span > < / div >
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< div class = "line" > < a id = "l00137" name = "l00137" > < / a > < span class = "lineno" > 137< / span > < span class = "keywordtype" > void< / span > PrintStats();< / div >
< div class = "line" > < a id = "l00138" name = "l00138" > < / a > < span class = "lineno" > 138< / span > < / div >
< div class = "line" > < a id = "l00139" name = "l00139" > < / a > < span class = "lineno" > 139< / span > < span class = "comment" > // Returns the variable value on the same scale as the CP variable value.< / span > < / div >
< div class = "line" > < a id = "l00140" name = "l00140" > < / a > < span class = "lineno" > 140< / span > < span class = "keywordtype" > double< / span > GetVariableValueAtCpScale(glop::ColIndex < a class = "code hl_variable" href = "expr__array_8cc.html#a472a99923cbe11ae7b5a5d157d9ad465" > var< / a > );< / div >
< div class = "line" > < a id = "l00141" name = "l00141" > < / a > < span class = "lineno" > 141< / span > < / div >
< div class = "line" > < a id = "l00142" name = "l00142" > < / a > < span class = "lineno" > 142< / span > < span class = "comment" > // Shortcut for an integer linear expression type.< / span > < / div >
< div class = "line" > < a id = "l00143" name = "l00143" > < / a > < span class = "lineno" > 143< / span > < span class = "keyword" > using< / span > < a class = "code hl_struct" href = "structoperations__research_1_1sat_1_1_linear_expression.html" > LinearExpression< / a > = std::vector< std::pair< glop::ColIndex, IntegerValue> > ;< / div >
< div class = "line" > < a id = "l00144" name = "l00144" > < / a > < span class = "lineno" > 144< / span > < / div >
< div class = "line" > < a id = "l00145" name = "l00145" > < / a > < span class = "lineno" > 145< / span > < span class = "comment" > // Gets or creates an LP variable that mirrors a model variable.< / span > < / div >
< div class = "line" > < a id = "l00146" name = "l00146" > < / a > < span class = "lineno" > 146< / span > < span class = "comment" > // The variable should be a positive reference.< / span > < / div >
< div class = "line" > < a id = "l00147" name = "l00147" > < / a > < span class = "lineno" > 147< / span > glop::ColIndex GetOrCreateMirrorVariable(IntegerVariable positive_variable);< / div >
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< div class = "line" > < a id = "l00148" name = "l00148" > < / a > < span class = "lineno" > 148< / span > < / div >
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< div class = "line" > < a id = "l00149" name = "l00149" > < / a > < span class = "lineno" > 149< / span > < span class = "comment" > // Updates the bounds of the LP variables from the CP bounds.< / span > < / div >
< div class = "line" > < a id = "l00150" name = "l00150" > < / a > < span class = "lineno" > 150< / span > < span class = "keywordtype" > void< / span > UpdateBoundsOfLpVariables();< / div >
< div class = "line" > < a id = "l00151" name = "l00151" > < / a > < span class = "lineno" > 151< / span > < / div >
< div class = "line" > < a id = "l00152" name = "l00152" > < / a > < span class = "lineno" > 152< / span > < span class = "comment" > // This epsilon is related to the precision of the value returned by the LP< / span > < / div >
< div class = "line" > < a id = "l00153" name = "l00153" > < / a > < span class = "lineno" > 153< / span > < span class = "comment" > // once they have been scaled back into the CP domain. So for large domain or< / span > < / div >
< div class = "line" > < a id = "l00154" name = "l00154" > < / a > < span class = "lineno" > 154< / span > < span class = "comment" > // cost coefficient, we may have some issues.< / span > < / div >
< div class = "line" > < a id = "l00155" name = "l00155" > < / a > < span class = "lineno" > 155< / span > < span class = "keyword" > static< / span > < span class = "keyword" > const< / span > < span class = "keywordtype" > double< / span > kCpEpsilon;< / div >
< div class = "line" > < a id = "l00156" name = "l00156" > < / a > < span class = "lineno" > 156< / span > < / div >
< div class = "line" > < a id = "l00157" name = "l00157" > < / a > < span class = "lineno" > 157< / span > < span class = "comment" > // Initial problem in integer form.< / span > < / div >
< div class = "line" > < a id = "l00158" name = "l00158" > < / a > < span class = "lineno" > 158< / span > < span class = "comment" > // We always sort the inner vectors by increasing glop::ColIndex.< / span > < / div >
< div class = "line" > < a id = "l00159" name = "l00159" > < / a > < span class = "lineno" > 159< / span > < span class = "keyword" > struct < / span > LinearConstraintInternal {< / div >
< div class = "line" > < a id = "l00160" name = "l00160" > < / a > < span class = "lineno" > 160< / span > IntegerValue lb;< / div >
< div class = "line" > < a id = "l00161" name = "l00161" > < / a > < span class = "lineno" > 161< / span > IntegerValue ub;< / div >
< div class = "line" > < a id = "l00162" name = "l00162" > < / a > < span class = "lineno" > 162< / span > < a class = "code hl_struct" href = "structoperations__research_1_1sat_1_1_linear_expression.html" > LinearExpression< / a > terms;< / div >
< div class = "line" > < a id = "l00163" name = "l00163" > < / a > < span class = "lineno" > 163< / span > };< / div >
< div class = "line" > < a id = "l00164" name = "l00164" > < / a > < span class = "lineno" > 164< / span > LinearExpression integer_objective_;< / div >
< div class = "line" > < a id = "l00165" name = "l00165" > < / a > < span class = "lineno" > 165< / span > IntegerValue objective_infinity_norm_ = IntegerValue(0);< / div >
< div class = "line" > < a id = "l00166" name = "l00166" > < / a > < span class = "lineno" > 166< / span > < span class = "keywordtype" > double< / span > objective_normalization_factor_ = 0.0;< / div >
< div class = "line" > < a id = "l00167" name = "l00167" > < / a > < span class = "lineno" > 167< / span > < span class = "keywordtype" > double< / span > mixing_factor_ = 1.0;< / div >
< div class = "line" > < a id = "l00168" name = "l00168" > < / a > < span class = "lineno" > 168< / span > < / div >
< div class = "line" > < a id = "l00169" name = "l00169" > < / a > < span class = "lineno" > 169< / span > < a class = "code hl_class" href = "classabsl_1_1_strong_vector.html" > absl::StrongVector< glop::RowIndex, LinearConstraintInternal> < / a > integer_lp_;< / div >
< div class = "line" > < a id = "l00170" name = "l00170" > < / a > < span class = "lineno" > 170< / span > < span class = "keywordtype" > int< / span > model_vars_size_ = 0;< / div >
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< div class = "line" > < a id = "l00171" name = "l00171" > < / a > < span class = "lineno" > 171< / span > < / div >
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< div class = "line" > < a id = "l00172" name = "l00172" > < / a > < span class = "lineno" > 172< / span > < span class = "comment" > // Underlying LP solver API.< / span > < / div >
< div class = "line" > < a id = "l00173" name = "l00173" > < / a > < span class = "lineno" > 173< / span > < a class = "code hl_class" href = "classoperations__research_1_1glop_1_1_linear_program.html" > glop::LinearProgram< / a > lp_data_;< / div >
< div class = "line" > < a id = "l00174" name = "l00174" > < / a > < span class = "lineno" > 174< / span > < a class = "code hl_class" href = "classoperations__research_1_1glop_1_1_revised_simplex.html" > glop::RevisedSimplex< / a > simplex_;< / div >
< div class = "line" > < a id = "l00175" name = "l00175" > < / a > < span class = "lineno" > 175< / span > < / div >
< div class = "line" > < a id = "l00176" name = "l00176" > < / a > < span class = "lineno" > 176< / span > < a class = "code hl_class" href = "classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html" > glop::ColMapping< / a > norm_variables_;< / div >
< div class = "line" > < a id = "l00177" name = "l00177" > < / a > < span class = "lineno" > 177< / span > < a class = "code hl_class" href = "classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html" > glop::ColToRowMapping< / a > norm_lhs_constraints_;< / div >
< div class = "line" > < a id = "l00178" name = "l00178" > < / a > < span class = "lineno" > 178< / span > < a class = "code hl_class" href = "classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html" > glop::ColToRowMapping< / a > norm_rhs_constraints_;< / div >
< div class = "line" > < a id = "l00179" name = "l00179" > < / a > < span class = "lineno" > 179< / span > < / div >
< div class = "line" > < a id = "l00180" name = "l00180" > < / a > < span class = "lineno" > 180< / span > < span class = "comment" > // For the scaling.< / span > < / div >
< div class = "line" > < a id = "l00181" name = "l00181" > < / a > < span class = "lineno" > 181< / span > < a class = "code hl_class" href = "classoperations__research_1_1glop_1_1_lp_scaling_helper.html" > glop::LpScalingHelper< / a > scaler_;< / div >
< div class = "line" > < a id = "l00182" name = "l00182" > < / a > < span class = "lineno" > 182< / span > < / div >
< div class = "line" > < a id = "l00183" name = "l00183" > < / a > < span class = "lineno" > 183< / span > < span class = "comment" > // Structures used for mirroring IntegerVariables inside the underlying LP< / span > < / div >
< div class = "line" > < a id = "l00184" name = "l00184" > < / a > < span class = "lineno" > 184< / span > < span class = "comment" > // solver: an integer variable var is mirrored by mirror_lp_variable_[var].< / span > < / div >
< div class = "line" > < a id = "l00185" name = "l00185" > < / a > < span class = "lineno" > 185< / span > < span class = "comment" > // Note that these indices are dense in [0, mirror_lp_variable_.size()] so< / span > < / div >
< div class = "line" > < a id = "l00186" name = "l00186" > < / a > < span class = "lineno" > 186< / span > < span class = "comment" > // they can be used as vector indices.< / span > < / div >
< div class = "line" > < a id = "l00187" name = "l00187" > < / a > < span class = "lineno" > 187< / span > std::vector< IntegerVariable> integer_variables_;< / div >
< div class = "line" > < a id = "l00188" name = "l00188" > < / a > < span class = "lineno" > 188< / span > absl::flat_hash_map< IntegerVariable, glop::ColIndex> mirror_lp_variable_;< / div >
< div class = "line" > < a id = "l00189" name = "l00189" > < / a > < span class = "lineno" > 189< / span > < / div >
< div class = "line" > < a id = "l00190" name = "l00190" > < / a > < span class = "lineno" > 190< / span > < span class = "comment" > // True if the variable was binary before we apply scaling.< / span > < / div >
< div class = "line" > < a id = "l00191" name = "l00191" > < / a > < span class = "lineno" > 191< / span > std::vector< bool> var_is_binary_;< / div >
< div class = "line" > < a id = "l00192" name = "l00192" > < / a > < span class = "lineno" > 192< / span > < / div >
< div class = "line" > < a id = "l00193" name = "l00193" > < / a > < span class = "lineno" > 193< / span > < span class = "comment" > // The following lock information is computed only once.< / span > < / div >
< div class = "line" > < a id = "l00194" name = "l00194" > < / a > < span class = "lineno" > 194< / span > < span class = "comment" > // Number of constraints restricting variable to take higher (resp. lower)< / span > < / div >
< div class = "line" > < a id = "l00195" name = "l00195" > < / a > < span class = "lineno" > 195< / span > < span class = "comment" > // values.< / span > < / div >
< div class = "line" > < a id = "l00196" name = "l00196" > < / a > < span class = "lineno" > 196< / span > std::vector< int> var_up_locks_;< / div >
< div class = "line" > < a id = "l00197" name = "l00197" > < / a > < span class = "lineno" > 197< / span > std::vector< int> var_down_locks_;< / div >
< div class = "line" > < a id = "l00198" name = "l00198" > < / a > < span class = "lineno" > 198< / span > < / div >
< div class = "line" > < a id = "l00199" name = "l00199" > < / a > < span class = "lineno" > 199< / span > < span class = "comment" > // We need to remember what to optimize if an objective is given, because< / span > < / div >
< div class = "line" > < a id = "l00200" name = "l00200" > < / a > < span class = "lineno" > 200< / span > < span class = "comment" > // then we will switch the objective between feasibility and optimization.< / span > < / div >
< div class = "line" > < a id = "l00201" name = "l00201" > < / a > < span class = "lineno" > 201< / span > < span class = "keywordtype" > bool< / span > objective_is_defined_ = < span class = "keyword" > false< / span > ;< / div >
< div class = "line" > < a id = "l00202" name = "l00202" > < / a > < span class = "lineno" > 202< / span > < / div >
< div class = "line" > < a id = "l00203" name = "l00203" > < / a > < span class = "lineno" > 203< / span > < span class = "comment" > // Singletons from Model.< / span > < / div >
< div class = "line" > < a id = "l00204" name = "l00204" > < / a > < span class = "lineno" > 204< / span > < span class = "keyword" > const< / span > SatParameters& sat_parameters_;< / div >
< div class = "line" > < a id = "l00205" name = "l00205" > < / a > < span class = "lineno" > 205< / span > < a class = "code hl_class" href = "classoperations__research_1_1_time_limit.html" > TimeLimit< / a > * time_limit_;< / div >
< div class = "line" > < a id = "l00206" name = "l00206" > < / a > < span class = "lineno" > 206< / span > IntegerTrail* integer_trail_;< / div >
< div class = "line" > < a id = "l00207" name = "l00207" > < / a > < span class = "lineno" > 207< / span > < a class = "code hl_struct" href = "structoperations__research_1_1_trail.html" > Trail< / a > * trail_;< / div >
< div class = "line" > < a id = "l00208" name = "l00208" > < / a > < span class = "lineno" > 208< / span > IntegerEncoder* integer_encoder_;< / div >
< div class = "line" > < a id = "l00209" name = "l00209" > < / a > < span class = "lineno" > 209< / span > SharedIncompleteSolutionManager* incomplete_solutions_;< / div >
< div class = "line" > < a id = "l00210" name = "l00210" > < / a > < span class = "lineno" > 210< / span > SatSolver* sat_solver_;< / div >
< div class = "line" > < a id = "l00211" name = "l00211" > < / a > < span class = "lineno" > 211< / span > IntegerDomains* domains_;< / div >
< div class = "line" > < a id = "l00212" name = "l00212" > < / a > < span class = "lineno" > 212< / span > < span class = "keyword" > const< / span > CpModelMapping* mapping_;< / div >
< div class = "line" > < a id = "l00213" name = "l00213" > < / a > < span class = "lineno" > 213< / span > < / div >
< div class = "line" > < a id = "l00214" name = "l00214" > < / a > < span class = "lineno" > 214< / span > < span class = "comment" > // Last OPTIMAL/Feasible solution found by a call to the underlying LP solver.< / span > < / div >
< div class = "line" > < a id = "l00215" name = "l00215" > < / a > < span class = "lineno" > 215< / span > < span class = "keywordtype" > bool< / span > lp_solution_is_set_ = < span class = "keyword" > false< / span > ;< / div >
< div class = "line" > < a id = "l00216" name = "l00216" > < / a > < span class = "lineno" > 216< / span > < span class = "keywordtype" > bool< / span > lp_solution_is_integer_ = < span class = "keyword" > false< / span > ;< / div >
< div class = "line" > < a id = "l00217" name = "l00217" > < / a > < span class = "lineno" > 217< / span > < span class = "keywordtype" > double< / span > lp_objective_;< / div >
< div class = "line" > < a id = "l00218" name = "l00218" > < / a > < span class = "lineno" > 218< / span > std::vector< double> lp_solution_;< / div >
< div class = "line" > < a id = "l00219" name = "l00219" > < / a > < span class = "lineno" > 219< / span > std::vector< double> best_lp_solution_;< / div >
< div class = "line" > < a id = "l00220" name = "l00220" > < / a > < span class = "lineno" > 220< / span > < span class = "comment" > // We use max fractionality of all variables.< / span > < / div >
< div class = "line" > < a id = "l00221" name = "l00221" > < / a > < span class = "lineno" > 221< / span > < span class = "keywordtype" > double< / span > lp_solution_fractionality_;< / div >
< div class = "line" > < a id = "l00222" name = "l00222" > < / a > < span class = "lineno" > 222< / span > < / div >
< div class = "line" > < a id = "l00223" name = "l00223" > < / a > < span class = "lineno" > 223< / span > < span class = "comment" > // Rounded Integer solution. This might not be feasible.< / span > < / div >
< div class = "line" > < a id = "l00224" name = "l00224" > < / a > < span class = "lineno" > 224< / span > < span class = "keywordtype" > bool< / span > integer_solution_is_set_ = < span class = "keyword" > false< / span > ;< / div >
< div class = "line" > < a id = "l00225" name = "l00225" > < / a > < span class = "lineno" > 225< / span > < span class = "keywordtype" > bool< / span > integer_solution_is_feasible_ = < span class = "keyword" > false< / span > ;< / div >
< div class = "line" > < a id = "l00226" name = "l00226" > < / a > < span class = "lineno" > 226< / span > int64_t integer_solution_objective_;< / div >
< div class = "line" > < a id = "l00227" name = "l00227" > < / a > < span class = "lineno" > 227< / span > std::vector< int64_t> integer_solution_;< / div >
< div class = "line" > < a id = "l00228" name = "l00228" > < / a > < span class = "lineno" > 228< / span > std::vector< int64_t> best_integer_solution_;< / div >
< div class = "line" > < a id = "l00229" name = "l00229" > < / a > < span class = "lineno" > 229< / span > < span class = "keywordtype" > int< / span > num_infeasible_constraints_;< / div >
< div class = "line" > < a id = "l00230" name = "l00230" > < / a > < span class = "lineno" > 230< / span > < span class = "comment" > // We use max infeasibility of all constraints.< / span > < / div >
< div class = "line" > < a id = "l00231" name = "l00231" > < / a > < span class = "lineno" > 231< / span > int64_t integer_solution_infeasibility_;< / div >
< div class = "line" > < a id = "l00232" name = "l00232" > < / a > < span class = "lineno" > 232< / span > < / div >
< div class = "line" > < a id = "l00233" name = "l00233" > < / a > < span class = "lineno" > 233< / span > < span class = "comment" > // Sum of all simplex iterations performed by this class. This is useful to< / span > < / div >
< div class = "line" > < a id = "l00234" name = "l00234" > < / a > < span class = "lineno" > 234< / span > < span class = "comment" > // test the incrementality and compare to other solvers.< / span > < / div >
< div class = "line" > < a id = "l00235" name = "l00235" > < / a > < span class = "lineno" > 235< / span > int64_t total_num_simplex_iterations_ = 0;< / div >
< div class = "line" > < a id = "l00236" name = "l00236" > < / a > < span class = "lineno" > 236< / span > < / div >
< div class = "line" > < a id = "l00237" name = "l00237" > < / a > < span class = "lineno" > 237< / span > < span class = "comment" > // TODO(user): Tune default value. Expose as parameter.< / span > < / div >
< div class = "line" > < a id = "l00238" name = "l00238" > < / a > < span class = "lineno" > 238< / span > < span class = "keywordtype" > int< / span > max_fp_iterations_ = 20;< / div >
< div class = "line" > < a id = "l00239" name = "l00239" > < / a > < span class = "lineno" > 239< / span > < / div >
< div class = "line" > < a id = "l00240" name = "l00240" > < / a > < span class = "lineno" > 240< / span > < span class = "keywordtype" > bool< / span > model_is_unsat_ = < span class = "keyword" > false< / span > ;< / div >
< div class = "line" > < a id = "l00241" name = "l00241" > < / a > < span class = "lineno" > 241< / span > };< / div >
< div class = "line" > < a id = "l00242" name = "l00242" > < / a > < span class = "lineno" > 242< / span > < / div >
< div class = "line" > < a id = "l00243" name = "l00243" > < / a > < span class = "lineno" > 243< / span > } < span class = "comment" > // namespace sat< / span > < / div >
< div class = "line" > < a id = "l00244" name = "l00244" > < / a > < span class = "lineno" > 244< / span > } < span class = "comment" > // namespace operations_research< / span > < / div >
< div class = "line" > < a id = "l00245" name = "l00245" > < / a > < span class = "lineno" > 245< / span > < / div >
< div class = "line" > < a id = "l00246" name = "l00246" > < / a > < span class = "lineno" > 246< / span > < span class = "preprocessor" > #endif < / span > < span class = "comment" > // OR_TOOLS_SAT_FEASIBILITY_PUMP_H_< / span > < / div >
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< div class = "ttc" id = "aalldiff__cst_8cc_html_a26e6db9bcc64b584051ecc28171ed11f" > < div class = "ttname" > < a href = "alldiff__cst_8cc.html#a26e6db9bcc64b584051ecc28171ed11f" > max< / a > < / div > < div class = "ttdeci" > int64_t max< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "alldiff__cst_8cc_source.html#l00140" > alldiff_cst.cc:140< / a > < / div > < / div >
< div class = "ttc" id = "aclassabsl_1_1_strong_vector_html" > < div class = "ttname" > < a href = "classabsl_1_1_strong_vector.html" > absl::StrongVector< glop::RowIndex, LinearConstraintInternal > < / 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#l00106" > time_limit.h:106< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1glop_1_1_linear_program_html" > < div class = "ttname" > < a href = "classoperations__research_1_1glop_1_1_linear_program.html" > operations_research::glop::LinearProgram< / a > < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "lp__data_8h_source.html#l00055" > lp_data.h:55< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1glop_1_1_lp_scaling_helper_html" > < div class = "ttname" > < a href = "classoperations__research_1_1glop_1_1_lp_scaling_helper.html" > operations_research::glop::LpScalingHelper< / a > < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "lp__data__utils_8h_source.html#l00051" > lp_data_utils.h:51< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1glop_1_1_revised_simplex_html" > < div class = "ttname" > < a href = "classoperations__research_1_1glop_1_1_revised_simplex.html" > operations_research::glop::RevisedSimplex< / a > < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "revised__simplex_8h_source.html#l00125" > revised_simplex.h:125< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1glop_1_1_strict_i_t_i_vector_html" > < div class = "ttname" > < a href = "classoperations__research_1_1glop_1_1_strict_i_t_i_vector.html" > operations_research::glop::StrictITIVector< ColIndex, ColIndex > < / a > < / div > < / div >
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< div class = "ttc" id = "aclassoperations__research_1_1sat_1_1_feasibility_pump_html" > < div class = "ttname" > < a href = "classoperations__research_1_1sat_1_1_feasibility_pump.html" > operations_research::sat::FeasibilityPump< / a > < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "feasibility__pump_8h_source.html#l00042" > feasibility_pump.h:42< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1sat_1_1_feasibility_pump_html_a0b2361c77d5402a7050af6a2538a09ae" > < div class = "ttname" > < a href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#a0b2361c77d5402a7050af6a2538a09ae" > operations_research::sat::FeasibilityPump::HasIntegerSolution< / a > < / div > < div class = "ttdeci" > bool HasIntegerSolution() const< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "feasibility__pump_8h_source.html#l00073" > feasibility_pump.h:73< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1sat_1_1_feasibility_pump_html_a18206039e9f0c76f2b35907a4f6ea812" > < div class = "ttname" > < a href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#a18206039e9f0c76f2b35907a4f6ea812" > operations_research::sat::FeasibilityPump::~FeasibilityPump< / a > < / div > < div class = "ttdeci" > ~FeasibilityPump()< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "feasibility__pump_8cc_source.html#l00081" > feasibility_pump.cc:81< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1sat_1_1_feasibility_pump_html_a3139c5212b639a866499d0cfb2a28e4f" > < div class = "ttname" > < a href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#a3139c5212b639a866499d0cfb2a28e4f" > operations_research::sat::FeasibilityPump::LPSolutionFractionality< / a > < / div > < div class = "ttdeci" > double LPSolutionFractionality() const< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "feasibility__pump_8h_source.html#l00068" > feasibility_pump.h:68< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1sat_1_1_feasibility_pump_html_a3f83024f314fe4c509e75b691c5513d0" > < div class = "ttname" > < a href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#a3f83024f314fe4c509e75b691c5513d0" > operations_research::sat::FeasibilityPump::SetMaxFPIterations< / a > < / div > < div class = "ttdeci" > void SetMaxFPIterations(int max_iter)< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "feasibility__pump_8h_source.html#l00049" > feasibility_pump.h:49< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1sat_1_1_feasibility_pump_html_a477d40d2455543bdf702f13fa36f4ddd" > < div class = "ttname" > < a href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#a477d40d2455543bdf702f13fa36f4ddd" > operations_research::sat::FeasibilityPump::FeasibilityPump< / a > < / div > < div class = "ttdeci" > FeasibilityPump(Model *model)< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "feasibility__pump_8cc_source.html#l00059" > feasibility_pump.cc:59< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1sat_1_1_feasibility_pump_html_a4a4bc5eab93d6df24cea56b6a29c78ed" > < div class = "ttname" > < a href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#a4a4bc5eab93d6df24cea56b6a29c78ed" > operations_research::sat::FeasibilityPump::LPSolutionObjectiveValue< / a > < / div > < div class = "ttdeci" > double LPSolutionObjectiveValue() const< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "feasibility__pump_8h_source.html#l00065" > feasibility_pump.h:65< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1sat_1_1_feasibility_pump_html_a5faf3bc77eadb1b687efe379820b7aea" > < div class = "ttname" > < a href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#a5faf3bc77eadb1b687efe379820b7aea" > operations_research::sat::FeasibilityPump::IntegerSolutionObjectiveValue< / a > < / div > < div class = "ttdeci" > int64_t IntegerSolutionObjectiveValue() const< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "feasibility__pump_8h_source.html#l00074" > feasibility_pump.h:74< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1sat_1_1_feasibility_pump_html_a67a7327915e66c0514cfa465a0475be1" > < div class = "ttname" > < a href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#a67a7327915e66c0514cfa465a0475be1" > operations_research::sat::FeasibilityPump::ConstraintIndex< / a > < / div > < div class = "ttdeci" > glop::RowIndex ConstraintIndex< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "feasibility__pump_8h_source.html#l00047" > feasibility_pump.h:47< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1sat_1_1_feasibility_pump_html_a680158afc869b1a617ca173fa0033202" > < div class = "ttname" > < a href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#a680158afc869b1a617ca173fa0033202" > operations_research::sat::FeasibilityPump::GetLPSolutionValue< / a > < / div > < div class = "ttdeci" > double GetLPSolutionValue(IntegerVariable variable) const< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "feasibility__pump_8cc_source.html#l00438" > feasibility_pump.cc:438< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1sat_1_1_feasibility_pump_html_a942f29030f08426e7e318204e987e2f7" > < div class = "ttname" > < a href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#a942f29030f08426e7e318204e987e2f7" > operations_research::sat::FeasibilityPump::Solve< / a > < / div > < div class = "ttdeci" > bool Solve()< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "feasibility__pump_8cc_source.html#l00165" > feasibility_pump.cc:165< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1sat_1_1_feasibility_pump_html_a9ad847669329f6fbccf8e4553adc7dee" > < div class = "ttname" > < a href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#a9ad847669329f6fbccf8e4553adc7dee" > operations_research::sat::FeasibilityPump::GetIntegerSolutionValue< / a > < / div > < div class = "ttdeci" > int64_t GetIntegerSolutionValue(IntegerVariable variable) const< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "feasibility__pump_8cc_source.html#l00450" > feasibility_pump.cc:450< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1sat_1_1_feasibility_pump_html_aaac2d8dee4d7fc8d5e9a1b1cfc3021bc" > < div class = "ttname" > < a href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#aaac2d8dee4d7fc8d5e9a1b1cfc3021bc" > operations_research::sat::FeasibilityPump::AddLinearConstraint< / a > < / div > < div class = "ttdeci" > void AddLinearConstraint(const LinearConstraint & ct)< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "feasibility__pump_8cc_source.html#l00086" > feasibility_pump.cc:86< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1sat_1_1_feasibility_pump_html_acad222fde6e09601cc9d1a7b2481507e" > < div class = "ttname" > < a href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#acad222fde6e09601cc9d1a7b2481507e" > operations_research::sat::FeasibilityPump::IntegerSolutionIsFeasible< / a > < / div > < div class = "ttdeci" > bool IntegerSolutionIsFeasible() const< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "feasibility__pump_8h_source.html#l00077" > feasibility_pump.h:77< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1sat_1_1_feasibility_pump_html_ad271ccd28f3680abba2d189a7b78d86c" > < div class = "ttname" > < a href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#ad271ccd28f3680abba2d189a7b78d86c" > operations_research::sat::FeasibilityPump::HasLPSolution< / a > < / div > < div class = "ttdeci" > bool HasLPSolution() const< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "feasibility__pump_8h_source.html#l00064" > feasibility_pump.h:64< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1sat_1_1_feasibility_pump_html_ae384be06329c4c8f8fd62af7335dae2e" > < div class = "ttname" > < a href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#ae384be06329c4c8f8fd62af7335dae2e" > operations_research::sat::FeasibilityPump::SetObjectiveCoefficient< / a > < / div > < div class = "ttdeci" > void SetObjectiveCoefficient(IntegerVariable ivar, IntegerValue coeff)< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "feasibility__pump_8cc_source.html#l00112" > feasibility_pump.cc:112< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1sat_1_1_feasibility_pump_html_af8f352bb9045be8c9f938118111e2e2e" > < div class = "ttname" > < a href = "classoperations__research_1_1sat_1_1_feasibility_pump.html#af8f352bb9045be8c9f938118111e2e2e" > operations_research::sat::FeasibilityPump::LPSolutionIsInteger< / a > < / div > < div class = "ttdeci" > bool LPSolutionIsInteger() const< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "feasibility__pump_8h_source.html#l00067" > feasibility_pump.h:67< / a > < / div > < / div >
< div class = "ttc" id = "aclassoperations__research_1_1sat_1_1_model_html" > < div class = "ttname" > < a href = "classoperations__research_1_1sat_1_1_model.html" > operations_research::sat::Model< / a > < / div > < div class = "ttdoc" > Class that owns everything related to a particular optimization model.< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "sat_2model_8h_source.html#l00042" > sat/model.h:42< / a > < / div > < / div >
2022-01-17 21:42:14 +01:00
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2022-03-04 00:11:33 +01:00
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< div class = "ttc" id = "astructoperations__research_1_1_trail_html" > < div class = "ttname" > < a href = "structoperations__research_1_1_trail.html" > operations_research::Trail< / a > < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "constraint__solver_8cc_source.html#l00727" > constraint_solver.cc:727< / a > < / div > < / div >
2022-03-04 00:11:33 +01:00
< div class = "ttc" id = "astructoperations__research_1_1sat_1_1_linear_constraint_html" > < div class = "ttname" > < a href = "structoperations__research_1_1sat_1_1_linear_constraint.html" > operations_research::sat::LinearConstraint< / a > < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "sat_2linear__constraint_8h_source.html#l00041" > sat/linear_constraint.h:41< / a > < / div > < / div >
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2022-01-17 21:42:14 +01:00
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