Parameters.java

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// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: ortools/glop/parameters.proto
// Protobuf Java Version: 4.26.1
 
package com.google.ortools.glop;
 
public final class Parameters {
  private Parameters() {}
  static {
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      /* major= */ 4,
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      /* suffix= */ "",
      Parameters.class.getName());
  }
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  static final com.google.protobuf.Descriptors.Descriptor
    internal_static_operations_research_glop_GlopParameters_descriptor;
  static final 
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      internal_static_operations_research_glop_GlopParameters_fieldAccessorTable;
 
  public static com.google.protobuf.Descriptors.FileDescriptor
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  static {
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      "\n\035ortools/glop/parameters.proto\022\030operati" +
      "ons_research.glop\"\320\030\n\016GlopParameters\022`\n\016" +
      "scaling_method\0309 \001(\01629.operations_resear" +
      "ch.glop.GlopParameters.ScalingAlgorithm:" +
      "\rEQUILIBRATION\022]\n\020feasibility_rule\030\001 \001(\016" +
      "24.operations_research.glop.GlopParamete" +
      "rs.PricingRule:\rSTEEPEST_EDGE\022^\n\021optimiz" +
      "ation_rule\030\002 \001(\01624.operations_research.g" +
      "lop.GlopParameters.PricingRule:\rSTEEPEST" +
      "_EDGE\022(\n\031refactorization_threshold\030\006 \001(\001" +
      ":\0051e-09\0220\n!recompute_reduced_costs_thres" +
      "hold\030\010 \001(\001:\0051e-08\022+\n\036recompute_edges_nor" +
      "m_threshold\030\t \001(\001:\003100\022+\n\034primal_feasibi" +
      "lity_tolerance\030\n \001(\001:\0051e-08\022)\n\032dual_feas" +
      "ibility_tolerance\030\013 \001(\001:\0051e-08\022(\n\031ratio_" +
      "test_zero_threshold\030\014 \001(\001:\0051e-09\022#\n\026harr" +
      "is_tolerance_ratio\030\r \001(\001:\0030.5\022$\n\025small_p" +
      "ivot_threshold\030\016 \001(\001:\0051e-06\022\'\n\030minimum_a" +
      "cceptable_pivot\030\017 \001(\001:\0051e-06\022\035\n\016drop_tol" +
      "erance\0304 \001(\001:\0051e-14\022\031\n\013use_scaling\030\020 \001(\010" +
      ":\004true\022m\n\014cost_scaling\030< \001(\0162=.operation" +
      "s_research.glop.GlopParameters.CostScali" +
      "ngAlgorithm:\030CONTAIN_ONE_COST_SCALING\022a\n" +
      "\rinitial_basis\030\021 \001(\0162>.operations_resear" +
      "ch.glop.GlopParameters.InitialBasisHeuri" +
      "stic:\nTRIANGULAR\022#\n\025use_transposed_matri" +
      "x\030\022 \001(\010:\004true\022(\n\034basis_refactorization_p" +
      "eriod\030\023 \001(\005:\00264\0227\n)dynamically_adjust_re" +
      "factorization_period\030? \001(\010:\004true\022f\n\022solv" +
      "e_dual_problem\030\024 \001(\01627.operations_resear" +
      "ch.glop.GlopParameters.SolverBehavior:\021L" +
      "ET_SOLVER_DECIDE\022\037\n\022dualizer_threshold\030\025" +
      " \001(\001:\0031.5\022-\n\036solution_feasibility_tolera" +
      "nce\030\026 \001(\001:\0051e-06\022.\n provide_strong_optim" +
      "al_guarantee\030\030 \001(\010:\004true\022(\n\032change_statu" +
      "s_to_imprecise\030: \001(\010:\004true\022)\n\035max_number" +
      "_of_reoptimizations\0308 \001(\001:\00240\022.\n lu_fact" +
      "orization_pivot_threshold\030\031 \001(\001:\0040.01\022 \n" +
      "\023max_time_in_seconds\030\032 \001(\001:\003inf\022#\n\026max_d" +
      "eterministic_time\030- \001(\001:\003inf\022$\n\030max_numb" +
      "er_of_iterations\030\033 \001(\003:\002-1\022%\n\032markowitz_" +
      "zlatev_parameter\030\035 \001(\005:\0013\022.\n\037markowitz_s" +
      "ingularity_threshold\030\036 \001(\001:\0051e-15\022\037\n\020use" +
      "_dual_simplex\030\037 \001(\010:\005false\022-\n\036allow_simp" +
      "lex_algorithm_change\030  \001(\010:\005false\022\'\n\032dev" +
      "ex_weights_reset_period\030! \001(\005:\003150\022\037\n\021us" +
      "e_preprocessing\030\" \001(\010:\004true\022,\n\036use_middl" +
      "e_product_form_update\030# \001(\010:\004true\0220\n\"ini" +
      "tialize_devex_with_column_norms\030$ \001(\010:\004t" +
      "rue\0227\n)exploit_singleton_column_in_initi" +
      "al_basis\030% \001(\010:\004true\022*\n\032dual_small_pivot" +
      "_threshold\030& \001(\001:\0060.0001\022*\n\033preprocessor" +
      "_zero_tolerance\030\' \001(\001:\0051e-09\022#\n\025objectiv" +
      "e_lower_limit\030( \001(\001:\004-inf\022\"\n\025objective_u" +
      "pper_limit\030) \001(\001:\003inf\022(\n\032degenerate_mini" +
      "step_factor\030* \001(\001:\0040.01\022\026\n\013random_seed\030+" +
      " \001(\005:\0011\022\032\n\017num_omp_threads\030, \001(\005:\0011\022,\n\035p" +
      "erturb_costs_in_dual_simplex\0305 \001(\010:\005fals" +
      "e\0226\n(use_dedicated_dual_feasibility_algo" +
      "rithm\030> \001(\010:\004true\022)\n\032relative_cost_pertu" +
      "rbation\0306 \001(\001:\0051e-05\022-\n\036relative_max_cos" +
      "t_perturbation\0307 \001(\001:\0051e-07\0221\n\"initial_c" +
      "ondition_number_threshold\030; \001(\001:\0051e+50\022\"" +
      "\n\023log_search_progress\030= \001(\010:\005false\022\033\n\rlo" +
      "g_to_stdout\030B \001(\010:\004true\022.\n!crossover_bou" +
      "nd_snapping_distance\030@ \001(\001:\003inf\022\034\n\016push_" +
      "to_vertex\030A \001(\010:\004true\022+\n\035use_implied_fre" +
      "e_preprocessor\030C \001(\010:\004true\022\"\n\023max_valid_" +
      "magnitude\030F \001(\001:\0051e+30\022\035\n\016drop_magnitude" +
      "\030G \001(\001:\0051e-30\022)\n\032dual_price_prioritize_n" +
      "orm\030E \001(\010:\005false\"F\n\020ScalingAlgorithm\022\013\n\007" +
      "DEFAULT\020\000\022\021\n\rEQUILIBRATION\020\001\022\022\n\016LINEAR_P" +
      "ROGRAM\020\002\"D\n\016SolverBehavior\022\r\n\tALWAYS_DO\020" +
      "\000\022\014\n\010NEVER_DO\020\001\022\025\n\021LET_SOLVER_DECIDE\020\002\"8" +
      "\n\013PricingRule\022\013\n\007DANTZIG\020\000\022\021\n\rSTEEPEST_E" +
      "DGE\020\001\022\t\n\005DEVEX\020\002\"G\n\025InitialBasisHeuristi" +
      "c\022\010\n\004NONE\020\000\022\t\n\005BIXBY\020\001\022\016\n\nTRIANGULAR\020\002\022\t" +
      "\n\005MAROS\020\003\"y\n\024CostScalingAlgorithm\022\023\n\017NO_" +
      "COST_SCALING\020\000\022\034\n\030CONTAIN_ONE_COST_SCALI" +
      "NG\020\001\022\025\n\021MEAN_COST_SCALING\020\002\022\027\n\023MEDIAN_CO" +
      "ST_SCALING\020\003B1\n\027com.google.ortools.glopP" +
      "\001\252\002\023Google.OrTools.Glop"
    };
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    internal_static_operations_research_glop_GlopParameters_fieldAccessorTable = new
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        internal_static_operations_research_glop_GlopParameters_descriptor,
        new java.lang.String[] { "ScalingMethod", "FeasibilityRule", "OptimizationRule", "RefactorizationThreshold", "RecomputeReducedCostsThreshold", "RecomputeEdgesNormThreshold", "PrimalFeasibilityTolerance", "DualFeasibilityTolerance", "RatioTestZeroThreshold", "HarrisToleranceRatio", "SmallPivotThreshold", "MinimumAcceptablePivot", "DropTolerance", "UseScaling", "CostScaling", "InitialBasis", "UseTransposedMatrix", "BasisRefactorizationPeriod", "DynamicallyAdjustRefactorizationPeriod", "SolveDualProblem", "DualizerThreshold", "SolutionFeasibilityTolerance", "ProvideStrongOptimalGuarantee", "ChangeStatusToImprecise", "MaxNumberOfReoptimizations", "LuFactorizationPivotThreshold", "MaxTimeInSeconds", "MaxDeterministicTime", "MaxNumberOfIterations", "MarkowitzZlatevParameter", "MarkowitzSingularityThreshold", "UseDualSimplex", "AllowSimplexAlgorithmChange", "DevexWeightsResetPeriod", "UsePreprocessing", "UseMiddleProductFormUpdate", "InitializeDevexWithColumnNorms", "ExploitSingletonColumnInInitialBasis", "DualSmallPivotThreshold", "PreprocessorZeroTolerance", "ObjectiveLowerLimit", "ObjectiveUpperLimit", "DegenerateMinistepFactor", "RandomSeed", "NumOmpThreads", "PerturbCostsInDualSimplex", "UseDedicatedDualFeasibilityAlgorithm", "RelativeCostPerturbation", "RelativeMaxCostPerturbation", "InitialConditionNumberThreshold", "LogSearchProgress", "LogToStdout", "CrossoverBoundSnappingDistance", "PushToVertex", "UseImpliedFreePreprocessor", "MaxValidMagnitude", "DropMagnitude", "DualPricePrioritizeNorm", });
    descriptor.resolveAllFeaturesImmutable();
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  // @@protoc_insertion_point(outer_class_scope)
}