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Inheritance diagram for Google.OrTools.Glop.GlopParameters:

Classes
class	Types
	Container for nested types declared in the GlopParameters message type. More...

Public Member Functions
	GlopParameters ()
	GlopParameters (GlopParameters other)
GlopParameters	Clone ()
void	ClearScalingMethod ()
	Clears the value of the "scaling_method" field.
void	ClearFeasibilityRule ()
	Clears the value of the "feasibility_rule" field.
void	ClearOptimizationRule ()
	Clears the value of the "optimization_rule" field.
void	ClearRefactorizationThreshold ()
	Clears the value of the "refactorization_threshold" field.
void	ClearRecomputeReducedCostsThreshold ()
	Clears the value of the "recompute_reduced_costs_threshold" field.
void	ClearRecomputeEdgesNormThreshold ()
	Clears the value of the "recompute_edges_norm_threshold" field.
void	ClearPrimalFeasibilityTolerance ()
	Clears the value of the "primal_feasibility_tolerance" field.
void	ClearDualFeasibilityTolerance ()
	Clears the value of the "dual_feasibility_tolerance" field.
void	ClearRatioTestZeroThreshold ()
	Clears the value of the "ratio_test_zero_threshold" field.
void	ClearHarrisToleranceRatio ()
	Clears the value of the "harris_tolerance_ratio" field.
void	ClearSmallPivotThreshold ()
	Clears the value of the "small_pivot_threshold" field.
void	ClearMinimumAcceptablePivot ()
	Clears the value of the "minimum_acceptable_pivot" field.
void	ClearDropTolerance ()
	Clears the value of the "drop_tolerance" field.
void	ClearUseScaling ()
	Clears the value of the "use_scaling" field.
void	ClearCostScaling ()
	Clears the value of the "cost_scaling" field.
void	ClearInitialBasis ()
	Clears the value of the "initial_basis" field.
void	ClearUseTransposedMatrix ()
	Clears the value of the "use_transposed_matrix" field.
void	ClearBasisRefactorizationPeriod ()
	Clears the value of the "basis_refactorization_period" field.
void	ClearDynamicallyAdjustRefactorizationPeriod ()
	Clears the value of the "dynamically_adjust_refactorization_period" field.
void	ClearSolveDualProblem ()
	Clears the value of the "solve_dual_problem" field.
void	ClearDualizerThreshold ()
	Clears the value of the "dualizer_threshold" field.
void	ClearSolutionFeasibilityTolerance ()
	Clears the value of the "solution_feasibility_tolerance" field.
void	ClearProvideStrongOptimalGuarantee ()
	Clears the value of the "provide_strong_optimal_guarantee" field.
void	ClearChangeStatusToImprecise ()
	Clears the value of the "change_status_to_imprecise" field.
void	ClearMaxNumberOfReoptimizations ()
	Clears the value of the "max_number_of_reoptimizations" field.
void	ClearLuFactorizationPivotThreshold ()
	Clears the value of the "lu_factorization_pivot_threshold" field.
void	ClearMaxTimeInSeconds ()
	Clears the value of the "max_time_in_seconds" field.
void	ClearMaxDeterministicTime ()
	Clears the value of the "max_deterministic_time" field.
void	ClearMaxNumberOfIterations ()
	Clears the value of the "max_number_of_iterations" field.
void	ClearMarkowitzZlatevParameter ()
	Clears the value of the "markowitz_zlatev_parameter" field.
void	ClearMarkowitzSingularityThreshold ()
	Clears the value of the "markowitz_singularity_threshold" field.
void	ClearUseDualSimplex ()
	Clears the value of the "use_dual_simplex" field.
void	ClearAllowSimplexAlgorithmChange ()
	Clears the value of the "allow_simplex_algorithm_change" field.
void	ClearDevexWeightsResetPeriod ()
	Clears the value of the "devex_weights_reset_period" field.
void	ClearUsePreprocessing ()
	Clears the value of the "use_preprocessing" field.
void	ClearUseMiddleProductFormUpdate ()
	Clears the value of the "use_middle_product_form_update" field.
void	ClearInitializeDevexWithColumnNorms ()
	Clears the value of the "initialize_devex_with_column_norms" field.
void	ClearExploitSingletonColumnInInitialBasis ()
	Clears the value of the "exploit_singleton_column_in_initial_basis" field.
void	ClearDualSmallPivotThreshold ()
	Clears the value of the "dual_small_pivot_threshold" field.
void	ClearPreprocessorZeroTolerance ()
	Clears the value of the "preprocessor_zero_tolerance" field.
void	ClearObjectiveLowerLimit ()
	Clears the value of the "objective_lower_limit" field.
void	ClearObjectiveUpperLimit ()
	Clears the value of the "objective_upper_limit" field.
void	ClearDegenerateMinistepFactor ()
	Clears the value of the "degenerate_ministep_factor" field.
void	ClearRandomSeed ()
	Clears the value of the "random_seed" field.
void	ClearUseAbslRandom ()
	Clears the value of the "use_absl_random" field.
void	ClearNumOmpThreads ()
	Clears the value of the "num_omp_threads" field.
void	ClearPerturbCostsInDualSimplex ()
	Clears the value of the "perturb_costs_in_dual_simplex" field.
void	ClearUseDedicatedDualFeasibilityAlgorithm ()
	Clears the value of the "use_dedicated_dual_feasibility_algorithm" field.
void	ClearRelativeCostPerturbation ()
	Clears the value of the "relative_cost_perturbation" field.
void	ClearRelativeMaxCostPerturbation ()
	Clears the value of the "relative_max_cost_perturbation" field.
void	ClearInitialConditionNumberThreshold ()
	Clears the value of the "initial_condition_number_threshold" field.
void	ClearLogSearchProgress ()
	Clears the value of the "log_search_progress" field.
void	ClearLogToStdout ()
	Clears the value of the "log_to_stdout" field.
void	ClearCrossoverBoundSnappingDistance ()
	Clears the value of the "crossover_bound_snapping_distance" field.
void	ClearPushToVertex ()
	Clears the value of the "push_to_vertex" field.
void	ClearUseImpliedFreePreprocessor ()
	Clears the value of the "use_implied_free_preprocessor" field.
void	ClearMaxValidMagnitude ()
	Clears the value of the "max_valid_magnitude" field.
void	ClearDropMagnitude ()
	Clears the value of the "drop_magnitude" field.
void	ClearDualPricePrioritizeNorm ()
	Clears the value of the "dual_price_prioritize_norm" field.
override bool	Equals (object other)
bool	Equals (GlopParameters other)
override int	GetHashCode ()
override string	ToString ()
void	WriteTo (pb::CodedOutputStream output)
int	CalculateSize ()
void	MergeFrom (GlopParameters other)
void	MergeFrom (pb::CodedInputStream input)

Static Public Attributes
const int	ScalingMethodFieldNumber = 57
	Field number for the "scaling_method" field.
const int	FeasibilityRuleFieldNumber = 1
	Field number for the "feasibility_rule" field.
const int	OptimizationRuleFieldNumber = 2
	Field number for the "optimization_rule" field.
const int	RefactorizationThresholdFieldNumber = 6
	Field number for the "refactorization_threshold" field.
const int	RecomputeReducedCostsThresholdFieldNumber = 8
	Field number for the "recompute_reduced_costs_threshold" field.
const int	RecomputeEdgesNormThresholdFieldNumber = 9
	Field number for the "recompute_edges_norm_threshold" field.
const int	PrimalFeasibilityToleranceFieldNumber = 10
	Field number for the "primal_feasibility_tolerance" field.
const int	DualFeasibilityToleranceFieldNumber = 11
	Field number for the "dual_feasibility_tolerance" field.
const int	RatioTestZeroThresholdFieldNumber = 12
	Field number for the "ratio_test_zero_threshold" field.
const int	HarrisToleranceRatioFieldNumber = 13
	Field number for the "harris_tolerance_ratio" field.
const int	SmallPivotThresholdFieldNumber = 14
	Field number for the "small_pivot_threshold" field.
const int	MinimumAcceptablePivotFieldNumber = 15
	Field number for the "minimum_acceptable_pivot" field.
const int	DropToleranceFieldNumber = 52
	Field number for the "drop_tolerance" field.
const int	UseScalingFieldNumber = 16
	Field number for the "use_scaling" field.
const int	CostScalingFieldNumber = 60
	Field number for the "cost_scaling" field.
const int	InitialBasisFieldNumber = 17
	Field number for the "initial_basis" field.
const int	UseTransposedMatrixFieldNumber = 18
	Field number for the "use_transposed_matrix" field.
const int	BasisRefactorizationPeriodFieldNumber = 19
	Field number for the "basis_refactorization_period" field.
const int	DynamicallyAdjustRefactorizationPeriodFieldNumber = 63
	Field number for the "dynamically_adjust_refactorization_period" field.
const int	SolveDualProblemFieldNumber = 20
	Field number for the "solve_dual_problem" field.
const int	DualizerThresholdFieldNumber = 21
	Field number for the "dualizer_threshold" field.
const int	SolutionFeasibilityToleranceFieldNumber = 22
	Field number for the "solution_feasibility_tolerance" field.
const int	ProvideStrongOptimalGuaranteeFieldNumber = 24
	Field number for the "provide_strong_optimal_guarantee" field.
const int	ChangeStatusToImpreciseFieldNumber = 58
	Field number for the "change_status_to_imprecise" field.
const int	MaxNumberOfReoptimizationsFieldNumber = 56
	Field number for the "max_number_of_reoptimizations" field.
const int	LuFactorizationPivotThresholdFieldNumber = 25
	Field number for the "lu_factorization_pivot_threshold" field.
const int	MaxTimeInSecondsFieldNumber = 26
	Field number for the "max_time_in_seconds" field.
const int	MaxDeterministicTimeFieldNumber = 45
	Field number for the "max_deterministic_time" field.
const int	MaxNumberOfIterationsFieldNumber = 27
	Field number for the "max_number_of_iterations" field.
const int	MarkowitzZlatevParameterFieldNumber = 29
	Field number for the "markowitz_zlatev_parameter" field.
const int	MarkowitzSingularityThresholdFieldNumber = 30
	Field number for the "markowitz_singularity_threshold" field.
const int	UseDualSimplexFieldNumber = 31
	Field number for the "use_dual_simplex" field.
const int	AllowSimplexAlgorithmChangeFieldNumber = 32
	Field number for the "allow_simplex_algorithm_change" field.
const int	DevexWeightsResetPeriodFieldNumber = 33
	Field number for the "devex_weights_reset_period" field.
const int	UsePreprocessingFieldNumber = 34
	Field number for the "use_preprocessing" field.
const int	UseMiddleProductFormUpdateFieldNumber = 35
	Field number for the "use_middle_product_form_update" field.
const int	InitializeDevexWithColumnNormsFieldNumber = 36
	Field number for the "initialize_devex_with_column_norms" field.
const int	ExploitSingletonColumnInInitialBasisFieldNumber = 37
	Field number for the "exploit_singleton_column_in_initial_basis" field.
const int	DualSmallPivotThresholdFieldNumber = 38
	Field number for the "dual_small_pivot_threshold" field.
const int	PreprocessorZeroToleranceFieldNumber = 39
	Field number for the "preprocessor_zero_tolerance" field.
const int	ObjectiveLowerLimitFieldNumber = 40
	Field number for the "objective_lower_limit" field.
const int	ObjectiveUpperLimitFieldNumber = 41
	Field number for the "objective_upper_limit" field.
const int	DegenerateMinistepFactorFieldNumber = 42
	Field number for the "degenerate_ministep_factor" field.
const int	RandomSeedFieldNumber = 43
	Field number for the "random_seed" field.
const int	UseAbslRandomFieldNumber = 72
	Field number for the "use_absl_random" field.
const int	NumOmpThreadsFieldNumber = 44
	Field number for the "num_omp_threads" field.
const int	PerturbCostsInDualSimplexFieldNumber = 53
	Field number for the "perturb_costs_in_dual_simplex" field.
const int	UseDedicatedDualFeasibilityAlgorithmFieldNumber = 62
	Field number for the "use_dedicated_dual_feasibility_algorithm" field.
const int	RelativeCostPerturbationFieldNumber = 54
	Field number for the "relative_cost_perturbation" field.
const int	RelativeMaxCostPerturbationFieldNumber = 55
	Field number for the "relative_max_cost_perturbation" field.
const int	InitialConditionNumberThresholdFieldNumber = 59
	Field number for the "initial_condition_number_threshold" field.
const int	LogSearchProgressFieldNumber = 61
	Field number for the "log_search_progress" field.
const int	LogToStdoutFieldNumber = 66
	Field number for the "log_to_stdout" field.
const int	CrossoverBoundSnappingDistanceFieldNumber = 64
	Field number for the "crossover_bound_snapping_distance" field.
const int	PushToVertexFieldNumber = 65
	Field number for the "push_to_vertex" field.
const int	UseImpliedFreePreprocessorFieldNumber = 67
	Field number for the "use_implied_free_preprocessor" field.
const int	MaxValidMagnitudeFieldNumber = 70
	Field number for the "max_valid_magnitude" field.
const int	DropMagnitudeFieldNumber = 71
	Field number for the "drop_magnitude" field.
const int	DualPricePrioritizeNormFieldNumber = 69
	Field number for the "dual_price_prioritize_norm" field.

Properties
static pb::MessageParser< GlopParameters >	Parser `[get]`
static pbr::MessageDescriptor	Descriptor `[get]`
global::Google.OrTools.Glop.GlopParameters.Types.ScalingAlgorithm	ScalingMethod `[get, set]`
bool	HasScalingMethod `[get]`
	Gets whether the "scaling_method" field is set.
global::Google.OrTools.Glop.GlopParameters.Types.PricingRule	FeasibilityRule `[get, set]`
	PricingRule to use during the feasibility phase.
bool	HasFeasibilityRule `[get]`
	Gets whether the "feasibility_rule" field is set.
global::Google.OrTools.Glop.GlopParameters.Types.PricingRule	OptimizationRule `[get, set]`
	PricingRule to use during the optimization phase.
bool	HasOptimizationRule `[get]`
	Gets whether the "optimization_rule" field is set.
double	RefactorizationThreshold `[get, set]`
	We estimate the factorization accuracy of B during each pivot by using the fact that we can compute the pivot coefficient in two ways:
bool	HasRefactorizationThreshold `[get]`
	Gets whether the "refactorization_threshold" field is set.
double	RecomputeReducedCostsThreshold `[get, set]`
	We estimate the accuracy of the iteratively computed reduced costs. If it falls below this threshold, we reinitialize them from scratch. Note that such an operation is pretty fast, so we can use a low threshold. It is important to have a good accuracy here (better than the dual_feasibility_tolerance below) to be sure of the sign of such a cost.
bool	HasRecomputeReducedCostsThreshold `[get]`
	Gets whether the "recompute_reduced_costs_threshold" field is set.
double	RecomputeEdgesNormThreshold `[get, set]`
bool	HasRecomputeEdgesNormThreshold `[get]`
	Gets whether the "recompute_edges_norm_threshold" field is set.
double	PrimalFeasibilityTolerance `[get, set]`
	This tolerance indicates by how much we allow the variable values to go out of bounds and still consider the current solution primal-feasible. We also use the same tolerance for the error A.x - b. Note that the two errors are closely related if A is scaled in such a way that the greatest coefficient magnitude on each column is 1.0.
bool	HasPrimalFeasibilityTolerance `[get]`
	Gets whether the "primal_feasibility_tolerance" field is set.
double	DualFeasibilityTolerance `[get, set]`
	Variables whose reduced costs have an absolute value smaller than this tolerance are not considered as entering candidates. That is they do not take part in deciding whether a solution is dual-feasible or not.
bool	HasDualFeasibilityTolerance `[get]`
	Gets whether the "dual_feasibility_tolerance" field is set.
double	RatioTestZeroThreshold `[get, set]`
	During the primal simplex (resp. dual simplex), the coefficients of the direction (resp. update row) with a magnitude lower than this threshold are not considered during the ratio test. This tolerance is related to the precision at which a Solve() involving the basis matrix can be performed.
bool	HasRatioTestZeroThreshold `[get]`
	Gets whether the "ratio_test_zero_threshold" field is set.
double	HarrisToleranceRatio `[get, set]`
	This impacts the ratio test and indicates by how much we allow a basic variable value that we move to go out of bounds. The value should be in [0.0, 1.0) and should be interpreted as a ratio of the primal_feasibility_tolerance. Setting this to 0.0 basically disables the Harris ratio test while setting this too close to 1.0 will make it difficult to keep the variable values inside their bounds modulo the primal_feasibility_tolerance.
bool	HasHarrisToleranceRatio `[get]`
	Gets whether the "harris_tolerance_ratio" field is set.
double	SmallPivotThreshold `[get, set]`
	When we choose the leaving variable, we want to avoid small pivot because they are the less precise and may cause numerical instabilities. For a pivot under this threshold times the infinity norm of the direction, we try various countermeasures in order to avoid using it.
bool	HasSmallPivotThreshold `[get]`
	Gets whether the "small_pivot_threshold" field is set.
double	MinimumAcceptablePivot `[get, set]`
	We never follow a basis change with a pivot under this threshold.
bool	HasMinimumAcceptablePivot `[get]`
	Gets whether the "minimum_acceptable_pivot" field is set.
double	DropTolerance `[get, set]`
	In order to increase the sparsity of the manipulated vectors, floating point values with a magnitude smaller than this parameter are set to zero (only in some places). This parameter should be positive or zero.
bool	HasDropTolerance `[get]`
	Gets whether the "drop_tolerance" field is set.
bool	UseScaling `[get, set]`
	Whether or not we scale the matrix A so that the maximum coefficient on each line and each column is 1.0.
bool	HasUseScaling `[get]`
	Gets whether the "use_scaling" field is set.
global::Google.OrTools.Glop.GlopParameters.Types.CostScalingAlgorithm	CostScaling `[get, set]`
bool	HasCostScaling `[get]`
	Gets whether the "cost_scaling" field is set.
global::Google.OrTools.Glop.GlopParameters.Types.InitialBasisHeuristic	InitialBasis `[get, set]`
	What heuristic is used to try to replace the fixed slack columns in the initial basis of the primal simplex.
bool	HasInitialBasis `[get]`
	Gets whether the "initial_basis" field is set.
bool	UseTransposedMatrix `[get, set]`
	Whether or not we keep a transposed version of the matrix A to speed-up the pricing at the cost of extra memory and the initial tranposition computation.
bool	HasUseTransposedMatrix `[get]`
	Gets whether the "use_transposed_matrix" field is set.
int	BasisRefactorizationPeriod `[get, set]`
	Number of iterations between two basis refactorizations. Note that various conditions in the algorithm may trigger a refactorization before this period is reached. Set this to 0 if you want to refactorize at each step.
bool	HasBasisRefactorizationPeriod `[get]`
	Gets whether the "basis_refactorization_period" field is set.
bool	DynamicallyAdjustRefactorizationPeriod `[get, set]`
	If this is true, then basis_refactorization_period becomes a lower bound on the number of iterations between two refactorization (provided there is no numerical accuracy issues). Depending on the estimated time to refactorize vs the extra time spend in each solves because of the LU update, we try to balance the two times.
bool	HasDynamicallyAdjustRefactorizationPeriod `[get]`
	Gets whether the "dynamically_adjust_refactorization_period" field is set.
global::Google.OrTools.Glop.GlopParameters.Types.SolverBehavior	SolveDualProblem `[get, set]`
	Whether or not we solve the dual of the given problem. With a value of auto, the algorithm decide which approach is probably the fastest depending on the problem dimensions (see dualizer_threshold).
bool	HasSolveDualProblem `[get]`
	Gets whether the "solve_dual_problem" field is set.
double	DualizerThreshold `[get, set]`
	When solve_dual_problem is LET_SOLVER_DECIDE, take the dual if the number of constraints of the problem is more than this threshold times the number of variables.
bool	HasDualizerThreshold `[get]`
	Gets whether the "dualizer_threshold" field is set.
double	SolutionFeasibilityTolerance `[get, set]`
	When the problem status is OPTIMAL, we check the optimality using this relative tolerance and change the status to IMPRECISE if an issue is detected.
bool	HasSolutionFeasibilityTolerance `[get]`
	Gets whether the "solution_feasibility_tolerance" field is set.
bool	ProvideStrongOptimalGuarantee `[get, set]`
	If true, then when the solver returns a solution with an OPTIMAL status, we can guarantee that:
bool	HasProvideStrongOptimalGuarantee `[get]`
	Gets whether the "provide_strong_optimal_guarantee" field is set.
bool	ChangeStatusToImprecise `[get, set]`
	If true, the internal API will change the return status to imprecise if the solution does not respect the internal tolerances.
bool	HasChangeStatusToImprecise `[get]`
	Gets whether the "change_status_to_imprecise" field is set.
double	MaxNumberOfReoptimizations `[get, set]`
	When the solution of phase II is imprecise, we re-run the phase II with the opposite algorithm from that imprecise solution (i.e., if primal or dual simplex was used, we use dual or primal simplex, respectively). We repeat such re-optimization until the solution is precise, or we hit this limit.
bool	HasMaxNumberOfReoptimizations `[get]`
	Gets whether the "max_number_of_reoptimizations" field is set.
double	LuFactorizationPivotThreshold `[get, set]`
	Threshold for LU-factorization: for stability reasons, the magnitude of the chosen pivot at a given step is guaranteed to be greater than this threshold times the maximum magnitude of all the possible pivot choices in the same column. The value must be in [0,1].
bool	HasLuFactorizationPivotThreshold `[get]`
	Gets whether the "lu_factorization_pivot_threshold" field is set.
double	MaxTimeInSeconds `[get, set]`
	Maximum time allowed in seconds to solve a problem.
bool	HasMaxTimeInSeconds `[get]`
	Gets whether the "max_time_in_seconds" field is set.
double	MaxDeterministicTime `[get, set]`
	Maximum deterministic time allowed to solve a problem. The deterministic time is more or less correlated to the running time, and its unit should be around the second (at least on a Xeon(R) CPU E5-1650 v2 @ 3.50GHz).
bool	HasMaxDeterministicTime `[get]`
	Gets whether the "max_deterministic_time" field is set.
long	MaxNumberOfIterations `[get, set]`
	Maximum number of simplex iterations to solve a problem. A value of -1 means no limit.
bool	HasMaxNumberOfIterations `[get]`
	Gets whether the "max_number_of_iterations" field is set.
int	MarkowitzZlatevParameter `[get, set]`
	How many columns do we look at in the Markowitz pivoting rule to find a good pivot. See markowitz.h.
bool	HasMarkowitzZlatevParameter `[get]`
	Gets whether the "markowitz_zlatev_parameter" field is set.
double	MarkowitzSingularityThreshold `[get, set]`
	If a pivot magnitude is smaller than this during the Markowitz LU factorization, then the matrix is assumed to be singular. Note that this is an absolute threshold and is not relative to the other possible pivots on the same column (see lu_factorization_pivot_threshold).
bool	HasMarkowitzSingularityThreshold `[get]`
	Gets whether the "markowitz_singularity_threshold" field is set.
bool	UseDualSimplex `[get, set]`
	Whether or not we use the dual simplex algorithm instead of the primal.
bool	HasUseDualSimplex `[get]`
	Gets whether the "use_dual_simplex" field is set.
bool	AllowSimplexAlgorithmChange `[get, set]`
	During incremental solve, let the solver decide if it use the primal or dual simplex algorithm depending on the current solution and on the new problem. Note that even if this is true, the value of use_dual_simplex still indicates the default algorithm that the solver will use.
bool	HasAllowSimplexAlgorithmChange `[get]`
	Gets whether the "allow_simplex_algorithm_change" field is set.
int	DevexWeightsResetPeriod `[get, set]`
	Devex weights will be reset to 1.0 after that number of updates.
bool	HasDevexWeightsResetPeriod `[get]`
	Gets whether the "devex_weights_reset_period" field is set.
bool	UsePreprocessing `[get, set]`
	Whether or not we use advanced preprocessing techniques.
bool	HasUsePreprocessing `[get]`
	Gets whether the "use_preprocessing" field is set.
bool	UseMiddleProductFormUpdate `[get, set]`
	Whether or not to use the middle product form update rather than the standard eta LU update. The middle form product update should be a lot more efficient (close to the Forrest-Tomlin update, a bit slower but easier to implement). See for more details: Qi Huangfu, J. A. Julian Hall, "Novel update techniques for the revised simplex method", 28 january 2013, Technical Report ERGO-13-0001 http://www.maths.ed.ac.uk/hall/HuHa12/ERGO-13-001.pdf.
bool	HasUseMiddleProductFormUpdate `[get]`
	Gets whether the "use_middle_product_form_update" field is set.
bool	InitializeDevexWithColumnNorms `[get, set]`
	Whether we initialize devex weights to 1.0 or to the norms of the matrix columns.
bool	HasInitializeDevexWithColumnNorms `[get]`
	Gets whether the "initialize_devex_with_column_norms" field is set.
bool	ExploitSingletonColumnInInitialBasis `[get, set]`
	Whether or not we exploit the singleton columns already present in the problem when we create the initial basis.
bool	HasExploitSingletonColumnInInitialBasis `[get]`
	Gets whether the "exploit_singleton_column_in_initial_basis" field is set.
double	DualSmallPivotThreshold `[get, set]`
	Like small_pivot_threshold but for the dual simplex. This is needed because the dual algorithm does not interpret this value in the same way.
bool	HasDualSmallPivotThreshold `[get]`
	Gets whether the "dual_small_pivot_threshold" field is set.
double	PreprocessorZeroTolerance `[get, set]`
	A floating point tolerance used by the preprocessors. This is used for things like detecting if two columns/rows are proportional or if an interval is empty.
bool	HasPreprocessorZeroTolerance `[get]`
	Gets whether the "preprocessor_zero_tolerance" field is set.
double	ObjectiveLowerLimit `[get, set]`
	The solver will stop as soon as it has proven that the objective is smaller than objective_lower_limit or greater than objective_upper_limit. Depending on the simplex algorithm (primal or dual) and the optimization direction,.
bool	HasObjectiveLowerLimit `[get]`
	Gets whether the "objective_lower_limit" field is set.
double	ObjectiveUpperLimit `[get, set]`
bool	HasObjectiveUpperLimit `[get]`
	Gets whether the "objective_upper_limit" field is set.
double	DegenerateMinistepFactor `[get, set]`
	During a degenerate iteration, the more conservative approach is to do a step of length zero (while shifting the bound of the leaving variable). That is, the variable values are unchanged for the primal simplex or the reduced cost are unchanged for the dual simplex. However, instead of doing a step of length zero, it seems to be better on degenerate problems to do a small positive step. This is what is recommended in the EXPAND procedure described in: P. E. Gill, W. Murray, M. A. Saunders, and M. H. Wright. "A practical anti- cycling procedure for linearly constrained optimization". Mathematical Programming, 45:437\u2013474, 1989.
bool	HasDegenerateMinistepFactor `[get]`
	Gets whether the "degenerate_ministep_factor" field is set.
int	RandomSeed `[get, set]`
	At the beginning of each solve, the random number generator used in some part of the solver is reinitialized to this seed. If you change the random seed, the solver may make different choices during the solving process.
bool	HasRandomSeed `[get]`
	Gets whether the "random_seed" field is set.
bool	UseAbslRandom `[get, set]`
	Whether to use absl::BitGen instead of MTRandom.
bool	HasUseAbslRandom `[get]`
	Gets whether the "use_absl_random" field is set.
int	NumOmpThreads `[get, set]`
	Number of threads in the OMP parallel sections. If left to 1, the code will not create any OMP threads and will remain single-threaded.
bool	HasNumOmpThreads `[get]`
	Gets whether the "num_omp_threads" field is set.
bool	PerturbCostsInDualSimplex `[get, set]`
	When this is true, then the costs are randomly perturbed before the dual simplex is even started. This has been shown to improve the dual simplex performance. For a good reference, see Huangfu Q (2013) "High performance simplex solver", Ph.D, dissertation, University of Edinburgh.
bool	HasPerturbCostsInDualSimplex `[get]`
	Gets whether the "perturb_costs_in_dual_simplex" field is set.
bool	UseDedicatedDualFeasibilityAlgorithm `[get, set]`
	We have two possible dual phase I algorithms. Both work on an LP that minimize the sum of dual infeasiblities. One use dedicated code (when this param is true), the other one use exactly the same code as the dual phase II but on an auxiliary problem where the variable bounds of the original problem are changed.
bool	HasUseDedicatedDualFeasibilityAlgorithm `[get]`
	Gets whether the "use_dedicated_dual_feasibility_algorithm" field is set.
double	RelativeCostPerturbation `[get, set]`
	The magnitude of the cost perturbation is given by RandomIn(1.0, 2.0) * ( relative_cost_perturbation * cost.
bool	HasRelativeCostPerturbation `[get]`
	Gets whether the "relative_cost_perturbation" field is set.
double	RelativeMaxCostPerturbation `[get, set]`
bool	HasRelativeMaxCostPerturbation `[get]`
	Gets whether the "relative_max_cost_perturbation" field is set.
double	InitialConditionNumberThreshold `[get, set]`
	If our upper bound on the condition number of the initial basis (from our heurisitic or a warm start) is above this threshold, we revert to an all slack basis.
bool	HasInitialConditionNumberThreshold `[get]`
	Gets whether the "initial_condition_number_threshold" field is set.
bool	LogSearchProgress `[get, set]`
	If true, logs the progress of a solve to LOG(INFO). Note that the same messages can also be turned on by displaying logs at level 1 for the relevant files.
bool	HasLogSearchProgress `[get]`
	Gets whether the "log_search_progress" field is set.
bool	LogToStdout `[get, set]`
	If true, logs will be displayed to stdout instead of using Google log info.
bool	HasLogToStdout `[get]`
	Gets whether the "log_to_stdout" field is set.
double	CrossoverBoundSnappingDistance `[get, set]`
	If the starting basis contains FREE variable with bounds, we will move any such variable to their closer bounds if the distance is smaller than this parameter.
bool	HasCrossoverBoundSnappingDistance `[get]`
	Gets whether the "crossover_bound_snapping_distance" field is set.
bool	PushToVertex `[get, set]`
	If the optimization phases finishes with super-basic variables (i.e., variables that either 1) have bounds but are FREE in the basis, or 2) have no bounds and are FREE in the basis at a nonzero value), then run a "push" phase to push these variables to bounds, obtaining a vertex solution. Note this situation can happen only if a starting value was specified via SetStartingVariableValuesForNextSolve().
bool	HasPushToVertex `[get]`
	Gets whether the "push_to_vertex" field is set.
bool	UseImpliedFreePreprocessor `[get, set]`
	If presolve runs, include the pass that detects implied free variables.
bool	HasUseImpliedFreePreprocessor `[get]`
	Gets whether the "use_implied_free_preprocessor" field is set.
double	MaxValidMagnitude `[get, set]`
	Any finite values in the input LP must be below this threshold, otherwise the model will be reported invalid. This is needed to avoid floating point overflow when evaluating bounds * coeff for instance. In practice, users shouldn't use super large values in an LP. With the default threshold, even evaluating large constraint with variables at their bound shouldn't cause any overflow.
bool	HasMaxValidMagnitude `[get]`
	Gets whether the "max_valid_magnitude" field is set.
double	DropMagnitude `[get, set]`
	Value in the input LP lower than this will be ignored. This is similar to drop_tolerance but more aggressive as this is used before scaling. This is mainly here to avoid underflow and have simpler invariant in the code, like a * b == 0 iff a or b is zero and things like this.
bool	HasDropMagnitude `[get]`
	Gets whether the "drop_magnitude" field is set.
bool	DualPricePrioritizeNorm `[get, set]`
	On some problem like stp3d or pds-100 this makes a huge difference in speed and number of iterations of the dual simplex.
bool	HasDualPricePrioritizeNorm `[get]`
	Gets whether the "dual_price_prioritize_norm" field is set.

Detailed Description

next id = 73

Definition at line 115 of file Parameters.pb.cs.

Constructor & Destructor Documentation

◆ GlopParameters() [1/2]

Google.OrTools.Glop.GlopParameters.GlopParameters ( )

inline

Definition at line 142 of file Parameters.pb.cs.

◆ GlopParameters() [2/2]

Google.OrTools.Glop.GlopParameters.GlopParameters ( GlopParameters other )

inline

Definition at line 150 of file Parameters.pb.cs.

Member Function Documentation

◆ CalculateSize()

int Google.OrTools.Glop.GlopParameters.CalculateSize ( )

inline

Definition at line 2852 of file Parameters.pb.cs.

◆ ClearAllowSimplexAlgorithmChange()

void Google.OrTools.Glop.GlopParameters.ClearAllowSimplexAlgorithmChange ( )

inline

Clears the value of the "allow_simplex_algorithm_change" field.

Definition at line 1316 of file Parameters.pb.cs.

◆ ClearBasisRefactorizationPeriod()

void Google.OrTools.Glop.GlopParameters.ClearBasisRefactorizationPeriod ( )

inline

Clears the value of the "basis_refactorization_period" field.

Definition at line 811 of file Parameters.pb.cs.

◆ ClearChangeStatusToImprecise()

void Google.OrTools.Glop.GlopParameters.ClearChangeStatusToImprecise ( )

inline

Clears the value of the "change_status_to_imprecise" field.

Definition at line 1027 of file Parameters.pb.cs.

◆ ClearCostScaling()

void Google.OrTools.Glop.GlopParameters.ClearCostScaling ( )

inline

Clears the value of the "cost_scaling" field.

Definition at line 716 of file Parameters.pb.cs.

◆ ClearCrossoverBoundSnappingDistance()

void Google.OrTools.Glop.GlopParameters.ClearCrossoverBoundSnappingDistance ( )

inline

Clears the value of the "crossover_bound_snapping_distance" field.

Definition at line 2036 of file Parameters.pb.cs.

◆ ClearDegenerateMinistepFactor()

void Google.OrTools.Glop.GlopParameters.ClearDegenerateMinistepFactor ( )

inline

Clears the value of the "degenerate_ministep_factor" field.

Definition at line 1657 of file Parameters.pb.cs.

◆ ClearDevexWeightsResetPeriod()

void Google.OrTools.Glop.GlopParameters.ClearDevexWeightsResetPeriod ( )

inline

Clears the value of the "devex_weights_reset_period" field.

Definition at line 1346 of file Parameters.pb.cs.

◆ ClearDropMagnitude()

void Google.OrTools.Glop.GlopParameters.ClearDropMagnitude ( )

inline

Clears the value of the "drop_magnitude" field.

Definition at line 2169 of file Parameters.pb.cs.

◆ ClearDropTolerance()

void Google.OrTools.Glop.GlopParameters.ClearDropTolerance ( )

inline

Clears the value of the "drop_tolerance" field.

Definition at line 658 of file Parameters.pb.cs.

◆ ClearDualFeasibilityTolerance()

void Google.OrTools.Glop.GlopParameters.ClearDualFeasibilityTolerance ( )

inline

Clears the value of the "dual_feasibility_tolerance" field.

Definition at line 485 of file Parameters.pb.cs.

◆ ClearDualizerThreshold()

void Google.OrTools.Glop.GlopParameters.ClearDualizerThreshold ( )

inline

Clears the value of the "dualizer_threshold" field.

Definition at line 909 of file Parameters.pb.cs.

◆ ClearDualPricePrioritizeNorm()

void Google.OrTools.Glop.GlopParameters.ClearDualPricePrioritizeNorm ( )

inline

Clears the value of the "dual_price_prioritize_norm" field.

Definition at line 2200 of file Parameters.pb.cs.

◆ ClearDualSmallPivotThreshold()

void Google.OrTools.Glop.GlopParameters.ClearDualSmallPivotThreshold ( )

inline

Clears the value of the "dual_small_pivot_threshold" field.

Definition at line 1506 of file Parameters.pb.cs.

◆ ClearDynamicallyAdjustRefactorizationPeriod()

void Google.OrTools.Glop.GlopParameters.ClearDynamicallyAdjustRefactorizationPeriod ( )

inline

Clears the value of the "dynamically_adjust_refactorization_period" field.

Definition at line 845 of file Parameters.pb.cs.

◆ ClearExploitSingletonColumnInInitialBasis()

void Google.OrTools.Glop.GlopParameters.ClearExploitSingletonColumnInInitialBasis ( )

inline

Clears the value of the "exploit_singleton_column_in_initial_basis" field.

Definition at line 1474 of file Parameters.pb.cs.

◆ ClearFeasibilityRule()

void Google.OrTools.Glop.GlopParameters.ClearFeasibilityRule ( )

inline

Clears the value of the "feasibility_rule" field.

Definition at line 274 of file Parameters.pb.cs.

◆ ClearHarrisToleranceRatio()

void Google.OrTools.Glop.GlopParameters.ClearHarrisToleranceRatio ( )

inline

Clears the value of the "harris_tolerance_ratio" field.

Definition at line 563 of file Parameters.pb.cs.

◆ ClearInitialBasis()

void Google.OrTools.Glop.GlopParameters.ClearInitialBasis ( )

inline

Clears the value of the "initial_basis" field.

Definition at line 747 of file Parameters.pb.cs.

◆ ClearInitialConditionNumberThreshold()

void Google.OrTools.Glop.GlopParameters.ClearInitialConditionNumberThreshold ( )

inline

Clears the value of the "initial_condition_number_threshold" field.

Definition at line 1927 of file Parameters.pb.cs.

◆ ClearInitializeDevexWithColumnNorms()

void Google.OrTools.Glop.GlopParameters.ClearInitializeDevexWithColumnNorms ( )

inline

Clears the value of the "initialize_devex_with_column_norms" field.

Definition at line 1443 of file Parameters.pb.cs.

◆ ClearLogSearchProgress()

void Google.OrTools.Glop.GlopParameters.ClearLogSearchProgress ( )

inline

Clears the value of the "log_search_progress" field.

Definition at line 1959 of file Parameters.pb.cs.

◆ ClearLogToStdout()

void Google.OrTools.Glop.GlopParameters.ClearLogToStdout ( )

inline

Clears the value of the "log_to_stdout" field.

Definition at line 1989 of file Parameters.pb.cs.

◆ ClearLuFactorizationPivotThreshold()

void Google.OrTools.Glop.GlopParameters.ClearLuFactorizationPivotThreshold ( )

inline

Clears the value of the "lu_factorization_pivot_threshold" field.

Definition at line 1093 of file Parameters.pb.cs.

◆ ClearMarkowitzSingularityThreshold()

void Google.OrTools.Glop.GlopParameters.ClearMarkowitzSingularityThreshold ( )

inline

Clears the value of the "markowitz_singularity_threshold" field.

Definition at line 1253 of file Parameters.pb.cs.

◆ ClearMarkowitzZlatevParameter()

void Google.OrTools.Glop.GlopParameters.ClearMarkowitzZlatevParameter ( )

inline

Clears the value of the "markowitz_zlatev_parameter" field.

Definition at line 1220 of file Parameters.pb.cs.

◆ ClearMaxDeterministicTime()

void Google.OrTools.Glop.GlopParameters.ClearMaxDeterministicTime ( )

inline

Clears the value of the "max_deterministic_time" field.

Definition at line 1158 of file Parameters.pb.cs.

◆ ClearMaxNumberOfIterations()

void Google.OrTools.Glop.GlopParameters.ClearMaxNumberOfIterations ( )

inline

Clears the value of the "max_number_of_iterations" field.

Definition at line 1189 of file Parameters.pb.cs.

◆ ClearMaxNumberOfReoptimizations()

void Google.OrTools.Glop.GlopParameters.ClearMaxNumberOfReoptimizations ( )

inline

Clears the value of the "max_number_of_reoptimizations" field.

Definition at line 1060 of file Parameters.pb.cs.

◆ ClearMaxTimeInSeconds()

void Google.OrTools.Glop.GlopParameters.ClearMaxTimeInSeconds ( )

inline

Clears the value of the "max_time_in_seconds" field.

Definition at line 1123 of file Parameters.pb.cs.

◆ ClearMaxValidMagnitude()

void Google.OrTools.Glop.GlopParameters.ClearMaxValidMagnitude ( )

inline

Clears the value of the "max_valid_magnitude" field.

Definition at line 2136 of file Parameters.pb.cs.

◆ ClearMinimumAcceptablePivot()

void Google.OrTools.Glop.GlopParameters.ClearMinimumAcceptablePivot ( )

inline

Clears the value of the "minimum_acceptable_pivot" field.

Definition at line 626 of file Parameters.pb.cs.

◆ ClearNumOmpThreads()

void Google.OrTools.Glop.GlopParameters.ClearNumOmpThreads ( )

inline

Clears the value of the "num_omp_threads" field.

Definition at line 1764 of file Parameters.pb.cs.

◆ ClearObjectiveLowerLimit()

void Google.OrTools.Glop.GlopParameters.ClearObjectiveLowerLimit ( )

inline

Clears the value of the "objective_lower_limit" field.

Definition at line 1581 of file Parameters.pb.cs.

◆ ClearObjectiveUpperLimit()

void Google.OrTools.Glop.GlopParameters.ClearObjectiveUpperLimit ( )

inline

Clears the value of the "objective_upper_limit" field.

Definition at line 1608 of file Parameters.pb.cs.

◆ ClearOptimizationRule()

void Google.OrTools.Glop.GlopParameters.ClearOptimizationRule ( )

inline

Clears the value of the "optimization_rule" field.

Definition at line 304 of file Parameters.pb.cs.

◆ ClearPerturbCostsInDualSimplex()

void Google.OrTools.Glop.GlopParameters.ClearPerturbCostsInDualSimplex ( )

inline

Clears the value of the "perturb_costs_in_dual_simplex" field.

Definition at line 1797 of file Parameters.pb.cs.

◆ ClearPreprocessorZeroTolerance()

void Google.OrTools.Glop.GlopParameters.ClearPreprocessorZeroTolerance ( )

inline

Clears the value of the "preprocessor_zero_tolerance" field.

Definition at line 1542 of file Parameters.pb.cs.

◆ ClearPrimalFeasibilityTolerance()

void Google.OrTools.Glop.GlopParameters.ClearPrimalFeasibilityTolerance ( )

inline

Clears the value of the "primal_feasibility_tolerance" field.

Definition at line 444 of file Parameters.pb.cs.

◆ ClearProvideStrongOptimalGuarantee()

void Google.OrTools.Glop.GlopParameters.ClearProvideStrongOptimalGuarantee ( )

inline

Clears the value of the "provide_strong_optimal_guarantee" field.

Definition at line 996 of file Parameters.pb.cs.

◆ ClearPushToVertex()

void Google.OrTools.Glop.GlopParameters.ClearPushToVertex ( )

inline

Clears the value of the "push_to_vertex" field.

Definition at line 2071 of file Parameters.pb.cs.

◆ ClearRandomSeed()

void Google.OrTools.Glop.GlopParameters.ClearRandomSeed ( )

inline

Clears the value of the "random_seed" field.

Definition at line 1703 of file Parameters.pb.cs.

◆ ClearRatioTestZeroThreshold()

void Google.OrTools.Glop.GlopParameters.ClearRatioTestZeroThreshold ( )

inline

Clears the value of the "ratio_test_zero_threshold" field.

Definition at line 522 of file Parameters.pb.cs.

◆ ClearRecomputeEdgesNormThreshold()

void Google.OrTools.Glop.GlopParameters.ClearRecomputeEdgesNormThreshold ( )

inline

Clears the value of the "recompute_edges_norm_threshold" field.

Definition at line 407 of file Parameters.pb.cs.

◆ ClearRecomputeReducedCostsThreshold()

void Google.OrTools.Glop.GlopParameters.ClearRecomputeReducedCostsThreshold ( )

inline

Clears the value of the "recompute_reduced_costs_threshold" field.

Definition at line 373 of file Parameters.pb.cs.

◆ ClearRefactorizationThreshold()

void Google.OrTools.Glop.GlopParameters.ClearRefactorizationThreshold ( )

inline

Clears the value of the "refactorization_threshold" field.

Definition at line 339 of file Parameters.pb.cs.

◆ ClearRelativeCostPerturbation()

void Google.OrTools.Glop.GlopParameters.ClearRelativeCostPerturbation ( )

inline

Clears the value of the "relative_cost_perturbation" field.

Definition at line 1868 of file Parameters.pb.cs.

◆ ClearRelativeMaxCostPerturbation()

void Google.OrTools.Glop.GlopParameters.ClearRelativeMaxCostPerturbation ( )

inline

Clears the value of the "relative_max_cost_perturbation" field.

Definition at line 1895 of file Parameters.pb.cs.

◆ ClearScalingMethod()

void Google.OrTools.Glop.GlopParameters.ClearScalingMethod ( )

inline

Clears the value of the "scaling_method" field.

Definition at line 244 of file Parameters.pb.cs.

◆ ClearSmallPivotThreshold()

void Google.OrTools.Glop.GlopParameters.ClearSmallPivotThreshold ( )

inline

Clears the value of the "small_pivot_threshold" field.

Definition at line 596 of file Parameters.pb.cs.

◆ ClearSolutionFeasibilityTolerance()

void Google.OrTools.Glop.GlopParameters.ClearSolutionFeasibilityTolerance ( )

inline

Clears the value of the "solution_feasibility_tolerance" field.

Definition at line 947 of file Parameters.pb.cs.

◆ ClearSolveDualProblem()

void Google.OrTools.Glop.GlopParameters.ClearSolveDualProblem ( )

inline

Clears the value of the "solve_dual_problem" field.

Definition at line 877 of file Parameters.pb.cs.

◆ ClearUseAbslRandom()

void Google.OrTools.Glop.GlopParameters.ClearUseAbslRandom ( )

inline

Clears the value of the "use_absl_random" field.

Definition at line 1733 of file Parameters.pb.cs.

◆ ClearUseDedicatedDualFeasibilityAlgorithm()

void Google.OrTools.Glop.GlopParameters.ClearUseDedicatedDualFeasibilityAlgorithm ( )

inline

Clears the value of the "use_dedicated_dual_feasibility_algorithm" field.

Definition at line 1835 of file Parameters.pb.cs.

◆ ClearUseDualSimplex()

void Google.OrTools.Glop.GlopParameters.ClearUseDualSimplex ( )

inline

Clears the value of the "use_dual_simplex" field.

Definition at line 1283 of file Parameters.pb.cs.

◆ ClearUseImpliedFreePreprocessor()

void Google.OrTools.Glop.GlopParameters.ClearUseImpliedFreePreprocessor ( )

inline

Clears the value of the "use_implied_free_preprocessor" field.

Definition at line 2101 of file Parameters.pb.cs.

◆ ClearUseMiddleProductFormUpdate()

void Google.OrTools.Glop.GlopParameters.ClearUseMiddleProductFormUpdate ( )

inline

Clears the value of the "use_middle_product_form_update" field.

Definition at line 1412 of file Parameters.pb.cs.

◆ ClearUsePreprocessing()

void Google.OrTools.Glop.GlopParameters.ClearUsePreprocessing ( )

inline

Clears the value of the "use_preprocessing" field.

Definition at line 1376 of file Parameters.pb.cs.

◆ ClearUseScaling()

void Google.OrTools.Glop.GlopParameters.ClearUseScaling ( )

inline

Clears the value of the "use_scaling" field.

Definition at line 689 of file Parameters.pb.cs.

◆ ClearUseTransposedMatrix()

void Google.OrTools.Glop.GlopParameters.ClearUseTransposedMatrix ( )

inline

Clears the value of the "use_transposed_matrix" field.

Definition at line 779 of file Parameters.pb.cs.

◆ Clone()

GlopParameters Google.OrTools.Glop.GlopParameters.Clone ( )

inline

Definition at line 217 of file Parameters.pb.cs.

◆ Equals() [1/2]

bool Google.OrTools.Glop.GlopParameters.Equals ( GlopParameters other )

inline

Definition at line 2212 of file Parameters.pb.cs.

◆ Equals() [2/2]

override bool Google.OrTools.Glop.GlopParameters.Equals ( object other )

inline

Definition at line 2206 of file Parameters.pb.cs.

◆ GetHashCode()

override int Google.OrTools.Glop.GlopParameters.GetHashCode ( )

inline

Definition at line 2283 of file Parameters.pb.cs.

◆ MergeFrom() [1/2]

void Google.OrTools.Glop.GlopParameters.MergeFrom ( GlopParameters other )

inline

Definition at line 3039 of file Parameters.pb.cs.

◆ MergeFrom() [2/2]

void Google.OrTools.Glop.GlopParameters.MergeFrom ( pb.CodedInputStream input )

inline

Definition at line 3225 of file Parameters.pb.cs.

◆ ToString()

override string Google.OrTools.Glop.GlopParameters.ToString ( )

inline

Definition at line 2352 of file Parameters.pb.cs.

◆ WriteTo()

void Google.OrTools.Glop.GlopParameters.WriteTo ( pb.CodedOutputStream output )

inline

Definition at line 2358 of file Parameters.pb.cs.

Member Data Documentation

◆ AllowSimplexAlgorithmChangeFieldNumber

const int Google.OrTools.Glop.GlopParameters.AllowSimplexAlgorithmChangeFieldNumber = 32

static

Field number for the "allow_simplex_algorithm_change" field.

Definition at line 1288 of file Parameters.pb.cs.

◆ BasisRefactorizationPeriodFieldNumber

const int Google.OrTools.Glop.GlopParameters.BasisRefactorizationPeriodFieldNumber = 19

static

Field number for the "basis_refactorization_period" field.

Definition at line 784 of file Parameters.pb.cs.

◆ ChangeStatusToImpreciseFieldNumber

const int Google.OrTools.Glop.GlopParameters.ChangeStatusToImpreciseFieldNumber = 58

static

Field number for the "change_status_to_imprecise" field.

Definition at line 1001 of file Parameters.pb.cs.

◆ CostScalingFieldNumber

const int Google.OrTools.Glop.GlopParameters.CostScalingFieldNumber = 60

static

Field number for the "cost_scaling" field.

Definition at line 694 of file Parameters.pb.cs.

◆ CrossoverBoundSnappingDistanceFieldNumber

const int Google.OrTools.Glop.GlopParameters.CrossoverBoundSnappingDistanceFieldNumber = 64

static

Field number for the "crossover_bound_snapping_distance" field.

Definition at line 1994 of file Parameters.pb.cs.

◆ DegenerateMinistepFactorFieldNumber

const int Google.OrTools.Glop.GlopParameters.DegenerateMinistepFactorFieldNumber = 42

static

Field number for the "degenerate_ministep_factor" field.

Definition at line 1613 of file Parameters.pb.cs.

◆ DevexWeightsResetPeriodFieldNumber

const int Google.OrTools.Glop.GlopParameters.DevexWeightsResetPeriodFieldNumber = 33

static

Field number for the "devex_weights_reset_period" field.

Definition at line 1321 of file Parameters.pb.cs.

◆ DropMagnitudeFieldNumber

const int Google.OrTools.Glop.GlopParameters.DropMagnitudeFieldNumber = 71

static

Field number for the "drop_magnitude" field.

Definition at line 2141 of file Parameters.pb.cs.

◆ DropToleranceFieldNumber

const int Google.OrTools.Glop.GlopParameters.DropToleranceFieldNumber = 52

static

Field number for the "drop_tolerance" field.

Definition at line 631 of file Parameters.pb.cs.

◆ DualFeasibilityToleranceFieldNumber

const int Google.OrTools.Glop.GlopParameters.DualFeasibilityToleranceFieldNumber = 11

static

Field number for the "dual_feasibility_tolerance" field.

Definition at line 449 of file Parameters.pb.cs.

◆ DualizerThresholdFieldNumber

const int Google.OrTools.Glop.GlopParameters.DualizerThresholdFieldNumber = 21

static

Field number for the "dualizer_threshold" field.

Definition at line 882 of file Parameters.pb.cs.

◆ DualPricePrioritizeNormFieldNumber

const int Google.OrTools.Glop.GlopParameters.DualPricePrioritizeNormFieldNumber = 69

static

Field number for the "dual_price_prioritize_norm" field.

Definition at line 2174 of file Parameters.pb.cs.

◆ DualSmallPivotThresholdFieldNumber

const int Google.OrTools.Glop.GlopParameters.DualSmallPivotThresholdFieldNumber = 38

static

Field number for the "dual_small_pivot_threshold" field.

Definition at line 1479 of file Parameters.pb.cs.

◆ DynamicallyAdjustRefactorizationPeriodFieldNumber

const int Google.OrTools.Glop.GlopParameters.DynamicallyAdjustRefactorizationPeriodFieldNumber = 63

static

Field number for the "dynamically_adjust_refactorization_period" field.

Definition at line 816 of file Parameters.pb.cs.

◆ ExploitSingletonColumnInInitialBasisFieldNumber

const int Google.OrTools.Glop.GlopParameters.ExploitSingletonColumnInInitialBasisFieldNumber = 37

static

Field number for the "exploit_singleton_column_in_initial_basis" field.

Definition at line 1448 of file Parameters.pb.cs.

◆ FeasibilityRuleFieldNumber

const int Google.OrTools.Glop.GlopParameters.FeasibilityRuleFieldNumber = 1

static

Field number for the "feasibility_rule" field.

Definition at line 249 of file Parameters.pb.cs.

◆ HarrisToleranceRatioFieldNumber

const int Google.OrTools.Glop.GlopParameters.HarrisToleranceRatioFieldNumber = 13

static

Field number for the "harris_tolerance_ratio" field.

Definition at line 527 of file Parameters.pb.cs.

◆ InitialBasisFieldNumber

const int Google.OrTools.Glop.GlopParameters.InitialBasisFieldNumber = 17

static

Field number for the "initial_basis" field.

Definition at line 721 of file Parameters.pb.cs.

◆ InitialConditionNumberThresholdFieldNumber

const int Google.OrTools.Glop.GlopParameters.InitialConditionNumberThresholdFieldNumber = 59

static

Field number for the "initial_condition_number_threshold" field.

Definition at line 1900 of file Parameters.pb.cs.

◆ InitializeDevexWithColumnNormsFieldNumber

const int Google.OrTools.Glop.GlopParameters.InitializeDevexWithColumnNormsFieldNumber = 36

static

Field number for the "initialize_devex_with_column_norms" field.

Definition at line 1417 of file Parameters.pb.cs.

◆ LogSearchProgressFieldNumber

const int Google.OrTools.Glop.GlopParameters.LogSearchProgressFieldNumber = 61

static

Field number for the "log_search_progress" field.

Definition at line 1932 of file Parameters.pb.cs.

◆ LogToStdoutFieldNumber

const int Google.OrTools.Glop.GlopParameters.LogToStdoutFieldNumber = 66

static

Field number for the "log_to_stdout" field.

Definition at line 1964 of file Parameters.pb.cs.

◆ LuFactorizationPivotThresholdFieldNumber

const int Google.OrTools.Glop.GlopParameters.LuFactorizationPivotThresholdFieldNumber = 25

static

Field number for the "lu_factorization_pivot_threshold" field.

Definition at line 1065 of file Parameters.pb.cs.

◆ MarkowitzSingularityThresholdFieldNumber

const int Google.OrTools.Glop.GlopParameters.MarkowitzSingularityThresholdFieldNumber = 30

static

Field number for the "markowitz_singularity_threshold" field.

Definition at line 1225 of file Parameters.pb.cs.

◆ MarkowitzZlatevParameterFieldNumber

const int Google.OrTools.Glop.GlopParameters.MarkowitzZlatevParameterFieldNumber = 29

static

Field number for the "markowitz_zlatev_parameter" field.

Definition at line 1194 of file Parameters.pb.cs.

◆ MaxDeterministicTimeFieldNumber

const int Google.OrTools.Glop.GlopParameters.MaxDeterministicTimeFieldNumber = 45

static

Field number for the "max_deterministic_time" field.

Definition at line 1128 of file Parameters.pb.cs.

◆ MaxNumberOfIterationsFieldNumber

const int Google.OrTools.Glop.GlopParameters.MaxNumberOfIterationsFieldNumber = 27

static

Field number for the "max_number_of_iterations" field.

Definition at line 1163 of file Parameters.pb.cs.

◆ MaxNumberOfReoptimizationsFieldNumber

const int Google.OrTools.Glop.GlopParameters.MaxNumberOfReoptimizationsFieldNumber = 56

static

Field number for the "max_number_of_reoptimizations" field.

Definition at line 1032 of file Parameters.pb.cs.

◆ MaxTimeInSecondsFieldNumber

const int Google.OrTools.Glop.GlopParameters.MaxTimeInSecondsFieldNumber = 26

static

Field number for the "max_time_in_seconds" field.

Definition at line 1098 of file Parameters.pb.cs.

◆ MaxValidMagnitudeFieldNumber

const int Google.OrTools.Glop.GlopParameters.MaxValidMagnitudeFieldNumber = 70

static

Field number for the "max_valid_magnitude" field.

Definition at line 2106 of file Parameters.pb.cs.

◆ MinimumAcceptablePivotFieldNumber

const int Google.OrTools.Glop.GlopParameters.MinimumAcceptablePivotFieldNumber = 15

static

Field number for the "minimum_acceptable_pivot" field.

Definition at line 601 of file Parameters.pb.cs.

◆ NumOmpThreadsFieldNumber

const int Google.OrTools.Glop.GlopParameters.NumOmpThreadsFieldNumber = 44

static

Field number for the "num_omp_threads" field.

Definition at line 1738 of file Parameters.pb.cs.

◆ ObjectiveLowerLimitFieldNumber

const int Google.OrTools.Glop.GlopParameters.ObjectiveLowerLimitFieldNumber = 40

static

Field number for the "objective_lower_limit" field.

Definition at line 1547 of file Parameters.pb.cs.

◆ ObjectiveUpperLimitFieldNumber

const int Google.OrTools.Glop.GlopParameters.ObjectiveUpperLimitFieldNumber = 41

static

Field number for the "objective_upper_limit" field.

Definition at line 1586 of file Parameters.pb.cs.

◆ OptimizationRuleFieldNumber

const int Google.OrTools.Glop.GlopParameters.OptimizationRuleFieldNumber = 2

static

Field number for the "optimization_rule" field.

Definition at line 279 of file Parameters.pb.cs.

◆ PerturbCostsInDualSimplexFieldNumber

const int Google.OrTools.Glop.GlopParameters.PerturbCostsInDualSimplexFieldNumber = 53

static

Field number for the "perturb_costs_in_dual_simplex" field.

Definition at line 1769 of file Parameters.pb.cs.

◆ PreprocessorZeroToleranceFieldNumber

const int Google.OrTools.Glop.GlopParameters.PreprocessorZeroToleranceFieldNumber = 39

static

Field number for the "preprocessor_zero_tolerance" field.

Definition at line 1511 of file Parameters.pb.cs.

◆ PrimalFeasibilityToleranceFieldNumber

const int Google.OrTools.Glop.GlopParameters.PrimalFeasibilityToleranceFieldNumber = 10

static

Field number for the "primal_feasibility_tolerance" field.

Definition at line 412 of file Parameters.pb.cs.

◆ ProvideStrongOptimalGuaranteeFieldNumber

const int Google.OrTools.Glop.GlopParameters.ProvideStrongOptimalGuaranteeFieldNumber = 24

static

Field number for the "provide_strong_optimal_guarantee" field.

Definition at line 952 of file Parameters.pb.cs.

◆ PushToVertexFieldNumber

const int Google.OrTools.Glop.GlopParameters.PushToVertexFieldNumber = 65

static

Field number for the "push_to_vertex" field.

Definition at line 2041 of file Parameters.pb.cs.

◆ RandomSeedFieldNumber

const int Google.OrTools.Glop.GlopParameters.RandomSeedFieldNumber = 43

static

Field number for the "random_seed" field.

Definition at line 1662 of file Parameters.pb.cs.

◆ RatioTestZeroThresholdFieldNumber

const int Google.OrTools.Glop.GlopParameters.RatioTestZeroThresholdFieldNumber = 12

static

Field number for the "ratio_test_zero_threshold" field.

Definition at line 490 of file Parameters.pb.cs.

◆ RecomputeEdgesNormThresholdFieldNumber

const int Google.OrTools.Glop.GlopParameters.RecomputeEdgesNormThresholdFieldNumber = 9

static

Field number for the "recompute_edges_norm_threshold" field.

Definition at line 378 of file Parameters.pb.cs.

◆ RecomputeReducedCostsThresholdFieldNumber

const int Google.OrTools.Glop.GlopParameters.RecomputeReducedCostsThresholdFieldNumber = 8

static

Field number for the "recompute_reduced_costs_threshold" field.

Definition at line 344 of file Parameters.pb.cs.

◆ RefactorizationThresholdFieldNumber

const int Google.OrTools.Glop.GlopParameters.RefactorizationThresholdFieldNumber = 6

static

Field number for the "refactorization_threshold" field.

Definition at line 309 of file Parameters.pb.cs.

◆ RelativeCostPerturbationFieldNumber

const int Google.OrTools.Glop.GlopParameters.RelativeCostPerturbationFieldNumber = 54

static

Field number for the "relative_cost_perturbation" field.

Definition at line 1840 of file Parameters.pb.cs.

◆ RelativeMaxCostPerturbationFieldNumber

const int Google.OrTools.Glop.GlopParameters.RelativeMaxCostPerturbationFieldNumber = 55

static

Field number for the "relative_max_cost_perturbation" field.

Definition at line 1873 of file Parameters.pb.cs.

◆ ScalingMethodFieldNumber

const int Google.OrTools.Glop.GlopParameters.ScalingMethodFieldNumber = 57

static

Field number for the "scaling_method" field.

Definition at line 222 of file Parameters.pb.cs.

◆ SmallPivotThresholdFieldNumber

const int Google.OrTools.Glop.GlopParameters.SmallPivotThresholdFieldNumber = 14

static

Field number for the "small_pivot_threshold" field.

Definition at line 568 of file Parameters.pb.cs.

◆ SolutionFeasibilityToleranceFieldNumber

const int Google.OrTools.Glop.GlopParameters.SolutionFeasibilityToleranceFieldNumber = 22

static

Field number for the "solution_feasibility_tolerance" field.

Definition at line 914 of file Parameters.pb.cs.

◆ SolveDualProblemFieldNumber

const int Google.OrTools.Glop.GlopParameters.SolveDualProblemFieldNumber = 20

static

Field number for the "solve_dual_problem" field.

Definition at line 850 of file Parameters.pb.cs.

◆ UseAbslRandomFieldNumber

const int Google.OrTools.Glop.GlopParameters.UseAbslRandomFieldNumber = 72

static

Field number for the "use_absl_random" field.

Definition at line 1708 of file Parameters.pb.cs.

◆ UseDedicatedDualFeasibilityAlgorithmFieldNumber

const int Google.OrTools.Glop.GlopParameters.UseDedicatedDualFeasibilityAlgorithmFieldNumber = 62

static

Field number for the "use_dedicated_dual_feasibility_algorithm" field.

Definition at line 1802 of file Parameters.pb.cs.

◆ UseDualSimplexFieldNumber

const int Google.OrTools.Glop.GlopParameters.UseDualSimplexFieldNumber = 31

static

Field number for the "use_dual_simplex" field.

Definition at line 1258 of file Parameters.pb.cs.

◆ UseImpliedFreePreprocessorFieldNumber

const int Google.OrTools.Glop.GlopParameters.UseImpliedFreePreprocessorFieldNumber = 67

static

Field number for the "use_implied_free_preprocessor" field.

Definition at line 2076 of file Parameters.pb.cs.

◆ UseMiddleProductFormUpdateFieldNumber

const int Google.OrTools.Glop.GlopParameters.UseMiddleProductFormUpdateFieldNumber = 35

static

Field number for the "use_middle_product_form_update" field.

Definition at line 1381 of file Parameters.pb.cs.

◆ UsePreprocessingFieldNumber

const int Google.OrTools.Glop.GlopParameters.UsePreprocessingFieldNumber = 34

static

Field number for the "use_preprocessing" field.

Definition at line 1351 of file Parameters.pb.cs.

◆ UseScalingFieldNumber

const int Google.OrTools.Glop.GlopParameters.UseScalingFieldNumber = 16

static

Field number for the "use_scaling" field.

Definition at line 663 of file Parameters.pb.cs.

◆ UseTransposedMatrixFieldNumber

const int Google.OrTools.Glop.GlopParameters.UseTransposedMatrixFieldNumber = 18

static

Field number for the "use_transposed_matrix" field.

Definition at line 752 of file Parameters.pb.cs.

Property Documentation

◆ AllowSimplexAlgorithmChange

bool Google.OrTools.Glop.GlopParameters.AllowSimplexAlgorithmChange

getset

During incremental solve, let the solver decide if it use the primal or dual simplex algorithm depending on the current solution and on the new problem. Note that even if this is true, the value of use_dual_simplex still indicates the default algorithm that the solver will use.

Definition at line 1300 of file Parameters.pb.cs.

◆ BasisRefactorizationPeriod

int Google.OrTools.Glop.GlopParameters.BasisRefactorizationPeriod

getset

Number of iterations between two basis refactorizations. Note that various conditions in the algorithm may trigger a refactorization before this period is reached. Set this to 0 if you want to refactorize at each step.

Definition at line 795 of file Parameters.pb.cs.

◆ ChangeStatusToImprecise

bool Google.OrTools.Glop.GlopParameters.ChangeStatusToImprecise

getset

If true, the internal API will change the return status to imprecise if the solution does not respect the internal tolerances.

Definition at line 1011 of file Parameters.pb.cs.

◆ CostScaling

global.Google.OrTools.Glop.GlopParameters.Types.CostScalingAlgorithm Google.OrTools.Glop.GlopParameters.CostScaling

getset

Definition at line 700 of file Parameters.pb.cs.

◆ CrossoverBoundSnappingDistance

double Google.OrTools.Glop.GlopParameters.CrossoverBoundSnappingDistance

getset

If the starting basis contains FREE variable with bounds, we will move any such variable to their closer bounds if the distance is smaller than this parameter.

The starting statuses can contains FREE variables with bounds, if a user set it like this externally. Also, any variable with an initial BASIC status that was not kept in the initial basis is marked as FREE before this step is applied.

Note: by default a FREE variable is assumed to be zero unless a starting value was specified via SetStartingVariableValuesForNextSolve().; , at the end of the solve, some of these FREE variable with bounds and an interior point value might still be left in the final solution. Enable push_to_vertex to clean these up.

Definition at line 2020 of file Parameters.pb.cs.

◆ DegenerateMinistepFactor

double Google.OrTools.Glop.GlopParameters.DegenerateMinistepFactor

getset

During a degenerate iteration, the more conservative approach is to do a step of length zero (while shifting the bound of the leaving variable). That is, the variable values are unchanged for the primal simplex or the reduced cost are unchanged for the dual simplex. However, instead of doing a step of length zero, it seems to be better on degenerate problems to do a small positive step. This is what is recommended in the EXPAND procedure described in: P. E. Gill, W. Murray, M. A. Saunders, and M. H. Wright. "A practical anti- cycling procedure for linearly constrained optimization". Mathematical Programming, 45:437\u2013474, 1989.

Here, during a degenerate iteration we do a small positive step of this factor times the primal (resp. dual) tolerance. In the primal simplex, this may effectively push variable values (very slightly) further out of their bounds (resp. reduced costs for the dual simplex). Setting this to zero reverts to the more conservative approach of a zero step during degenerate iterations.

Definition at line 1641 of file Parameters.pb.cs.

◆ Descriptor

pbr.MessageDescriptor Google.OrTools.Glop.GlopParameters.Descriptor

staticget

Definition at line 130 of file Parameters.pb.cs.

◆ DevexWeightsResetPeriod

int Google.OrTools.Glop.GlopParameters.DevexWeightsResetPeriod

getset

Devex weights will be reset to 1.0 after that number of updates.

Definition at line 1330 of file Parameters.pb.cs.

◆ DropMagnitude

double Google.OrTools.Glop.GlopParameters.DropMagnitude

getset

Value in the input LP lower than this will be ignored. This is similar to drop_tolerance but more aggressive as this is used before scaling. This is mainly here to avoid underflow and have simpler invariant in the code, like a * b == 0 iff a or b is zero and things like this.

Definition at line 2153 of file Parameters.pb.cs.

◆ DropTolerance

double Google.OrTools.Glop.GlopParameters.DropTolerance

getset

In order to increase the sparsity of the manipulated vectors, floating point values with a magnitude smaller than this parameter are set to zero (only in some places). This parameter should be positive or zero.

Definition at line 642 of file Parameters.pb.cs.

◆ DualFeasibilityTolerance

double Google.OrTools.Glop.GlopParameters.DualFeasibilityTolerance

getset

Variables whose reduced costs have an absolute value smaller than this tolerance are not considered as entering candidates. That is they do not take part in deciding whether a solution is dual-feasible or not.

Note: this value can temporarily increase during the execution of the algorithm if the estimated precision of the reduced costs is higher than this tolerance. Note also that we scale the costs (in the presolve step) so that the cost magnitude range contains one. This is also known as the optimality tolerance in other solvers.

Definition at line 469 of file Parameters.pb.cs.

◆ DualizerThreshold

double Google.OrTools.Glop.GlopParameters.DualizerThreshold

getset

When solve_dual_problem is LET_SOLVER_DECIDE, take the dual if the number of constraints of the problem is more than this threshold times the number of variables.

Definition at line 893 of file Parameters.pb.cs.

◆ DualPricePrioritizeNorm

bool Google.OrTools.Glop.GlopParameters.DualPricePrioritizeNorm

getset

On some problem like stp3d or pds-100 this makes a huge difference in speed and number of iterations of the dual simplex.

Definition at line 2184 of file Parameters.pb.cs.

◆ DualSmallPivotThreshold

double Google.OrTools.Glop.GlopParameters.DualSmallPivotThreshold

getset

Like small_pivot_threshold but for the dual simplex. This is needed because the dual algorithm does not interpret this value in the same way.

Todo: (user): Clean this up and use the same small pivot detection.

Definition at line 1490 of file Parameters.pb.cs.

◆ DynamicallyAdjustRefactorizationPeriod

bool Google.OrTools.Glop.GlopParameters.DynamicallyAdjustRefactorizationPeriod

getset

If this is true, then basis_refactorization_period becomes a lower bound on the number of iterations between two refactorization (provided there is no numerical accuracy issues). Depending on the estimated time to refactorize vs the extra time spend in each solves because of the LU update, we try to balance the two times.

Definition at line 829 of file Parameters.pb.cs.

◆ ExploitSingletonColumnInInitialBasis

bool Google.OrTools.Glop.GlopParameters.ExploitSingletonColumnInInitialBasis

getset

Whether or not we exploit the singleton columns already present in the problem when we create the initial basis.

Definition at line 1458 of file Parameters.pb.cs.

◆ FeasibilityRule

global.Google.OrTools.Glop.GlopParameters.Types.PricingRule Google.OrTools.Glop.GlopParameters.FeasibilityRule

getset

PricingRule to use during the feasibility phase.

Definition at line 258 of file Parameters.pb.cs.

◆ HarrisToleranceRatio

double Google.OrTools.Glop.GlopParameters.HarrisToleranceRatio

getset

This impacts the ratio test and indicates by how much we allow a basic variable value that we move to go out of bounds. The value should be in [0.0, 1.0) and should be interpreted as a ratio of the primal_feasibility_tolerance. Setting this to 0.0 basically disables the Harris ratio test while setting this too close to 1.0 will make it difficult to keep the variable values inside their bounds modulo the primal_feasibility_tolerance.

Note: the same comment applies to the dual simplex ratio test. There, we allow the reduced costs to be of an infeasible sign by as much as this ratio times the dual_feasibility_tolerance.

Definition at line 547 of file Parameters.pb.cs.

◆ HasAllowSimplexAlgorithmChange

bool Google.OrTools.Glop.GlopParameters.HasAllowSimplexAlgorithmChange

get

Gets whether the "allow_simplex_algorithm_change" field is set.

Definition at line 1310 of file Parameters.pb.cs.

◆ HasBasisRefactorizationPeriod

bool Google.OrTools.Glop.GlopParameters.HasBasisRefactorizationPeriod

get

Gets whether the "basis_refactorization_period" field is set.

Definition at line 805 of file Parameters.pb.cs.

◆ HasChangeStatusToImprecise

bool Google.OrTools.Glop.GlopParameters.HasChangeStatusToImprecise

get

Gets whether the "change_status_to_imprecise" field is set.

Definition at line 1021 of file Parameters.pb.cs.

◆ HasCostScaling

bool Google.OrTools.Glop.GlopParameters.HasCostScaling

get

Gets whether the "cost_scaling" field is set.

Definition at line 710 of file Parameters.pb.cs.

◆ HasCrossoverBoundSnappingDistance

bool Google.OrTools.Glop.GlopParameters.HasCrossoverBoundSnappingDistance

get

Gets whether the "crossover_bound_snapping_distance" field is set.

Definition at line 2030 of file Parameters.pb.cs.

◆ HasDegenerateMinistepFactor

bool Google.OrTools.Glop.GlopParameters.HasDegenerateMinistepFactor

get

Gets whether the "degenerate_ministep_factor" field is set.

Definition at line 1651 of file Parameters.pb.cs.

◆ HasDevexWeightsResetPeriod

bool Google.OrTools.Glop.GlopParameters.HasDevexWeightsResetPeriod

get

Gets whether the "devex_weights_reset_period" field is set.

Definition at line 1340 of file Parameters.pb.cs.

◆ HasDropMagnitude

bool Google.OrTools.Glop.GlopParameters.HasDropMagnitude

get

Gets whether the "drop_magnitude" field is set.

Definition at line 2163 of file Parameters.pb.cs.

◆ HasDropTolerance

bool Google.OrTools.Glop.GlopParameters.HasDropTolerance

get

Gets whether the "drop_tolerance" field is set.

Definition at line 652 of file Parameters.pb.cs.

◆ HasDualFeasibilityTolerance

bool Google.OrTools.Glop.GlopParameters.HasDualFeasibilityTolerance

get

Gets whether the "dual_feasibility_tolerance" field is set.

Definition at line 479 of file Parameters.pb.cs.

◆ HasDualizerThreshold

bool Google.OrTools.Glop.GlopParameters.HasDualizerThreshold

get

Gets whether the "dualizer_threshold" field is set.

Definition at line 903 of file Parameters.pb.cs.

◆ HasDualPricePrioritizeNorm

bool Google.OrTools.Glop.GlopParameters.HasDualPricePrioritizeNorm

get

Gets whether the "dual_price_prioritize_norm" field is set.

Definition at line 2194 of file Parameters.pb.cs.

◆ HasDualSmallPivotThreshold

bool Google.OrTools.Glop.GlopParameters.HasDualSmallPivotThreshold

get

Gets whether the "dual_small_pivot_threshold" field is set.

Definition at line 1500 of file Parameters.pb.cs.

◆ HasDynamicallyAdjustRefactorizationPeriod

bool Google.OrTools.Glop.GlopParameters.HasDynamicallyAdjustRefactorizationPeriod

get

Gets whether the "dynamically_adjust_refactorization_period" field is set.

Definition at line 839 of file Parameters.pb.cs.

◆ HasExploitSingletonColumnInInitialBasis

bool Google.OrTools.Glop.GlopParameters.HasExploitSingletonColumnInInitialBasis

get

Gets whether the "exploit_singleton_column_in_initial_basis" field is set.

Definition at line 1468 of file Parameters.pb.cs.

◆ HasFeasibilityRule

bool Google.OrTools.Glop.GlopParameters.HasFeasibilityRule

get

Gets whether the "feasibility_rule" field is set.

Definition at line 268 of file Parameters.pb.cs.

◆ HasHarrisToleranceRatio

bool Google.OrTools.Glop.GlopParameters.HasHarrisToleranceRatio

get

Gets whether the "harris_tolerance_ratio" field is set.

Definition at line 557 of file Parameters.pb.cs.

◆ HasInitialBasis

bool Google.OrTools.Glop.GlopParameters.HasInitialBasis

get

Gets whether the "initial_basis" field is set.

Definition at line 741 of file Parameters.pb.cs.

◆ HasInitialConditionNumberThreshold

bool Google.OrTools.Glop.GlopParameters.HasInitialConditionNumberThreshold

get

Gets whether the "initial_condition_number_threshold" field is set.

Definition at line 1921 of file Parameters.pb.cs.

◆ HasInitializeDevexWithColumnNorms

bool Google.OrTools.Glop.GlopParameters.HasInitializeDevexWithColumnNorms

get

Gets whether the "initialize_devex_with_column_norms" field is set.

Definition at line 1437 of file Parameters.pb.cs.

◆ HasLogSearchProgress

bool Google.OrTools.Glop.GlopParameters.HasLogSearchProgress

get

Gets whether the "log_search_progress" field is set.

Definition at line 1953 of file Parameters.pb.cs.

◆ HasLogToStdout

bool Google.OrTools.Glop.GlopParameters.HasLogToStdout

get

Gets whether the "log_to_stdout" field is set.

Definition at line 1983 of file Parameters.pb.cs.

◆ HasLuFactorizationPivotThreshold

bool Google.OrTools.Glop.GlopParameters.HasLuFactorizationPivotThreshold

get

Gets whether the "lu_factorization_pivot_threshold" field is set.

Definition at line 1087 of file Parameters.pb.cs.

◆ HasMarkowitzSingularityThreshold

bool Google.OrTools.Glop.GlopParameters.HasMarkowitzSingularityThreshold

get

Gets whether the "markowitz_singularity_threshold" field is set.

Definition at line 1247 of file Parameters.pb.cs.

◆ HasMarkowitzZlatevParameter

bool Google.OrTools.Glop.GlopParameters.HasMarkowitzZlatevParameter

get

Gets whether the "markowitz_zlatev_parameter" field is set.

Definition at line 1214 of file Parameters.pb.cs.

◆ HasMaxDeterministicTime

bool Google.OrTools.Glop.GlopParameters.HasMaxDeterministicTime

get

Gets whether the "max_deterministic_time" field is set.

Definition at line 1152 of file Parameters.pb.cs.

◆ HasMaxNumberOfIterations

bool Google.OrTools.Glop.GlopParameters.HasMaxNumberOfIterations

get

Gets whether the "max_number_of_iterations" field is set.

Definition at line 1183 of file Parameters.pb.cs.

◆ HasMaxNumberOfReoptimizations

bool Google.OrTools.Glop.GlopParameters.HasMaxNumberOfReoptimizations

get

Gets whether the "max_number_of_reoptimizations" field is set.

Definition at line 1054 of file Parameters.pb.cs.

◆ HasMaxTimeInSeconds

bool Google.OrTools.Glop.GlopParameters.HasMaxTimeInSeconds

get

Gets whether the "max_time_in_seconds" field is set.

Definition at line 1117 of file Parameters.pb.cs.

◆ HasMaxValidMagnitude

bool Google.OrTools.Glop.GlopParameters.HasMaxValidMagnitude

get

Gets whether the "max_valid_magnitude" field is set.

Definition at line 2130 of file Parameters.pb.cs.

◆ HasMinimumAcceptablePivot

bool Google.OrTools.Glop.GlopParameters.HasMinimumAcceptablePivot

get

Gets whether the "minimum_acceptable_pivot" field is set.

Definition at line 620 of file Parameters.pb.cs.

◆ HasNumOmpThreads

bool Google.OrTools.Glop.GlopParameters.HasNumOmpThreads

get

Gets whether the "num_omp_threads" field is set.

Definition at line 1758 of file Parameters.pb.cs.

◆ HasObjectiveLowerLimit

bool Google.OrTools.Glop.GlopParameters.HasObjectiveLowerLimit

get

Gets whether the "objective_lower_limit" field is set.

Definition at line 1575 of file Parameters.pb.cs.

◆ HasObjectiveUpperLimit

bool Google.OrTools.Glop.GlopParameters.HasObjectiveUpperLimit

get

Gets whether the "objective_upper_limit" field is set.

Definition at line 1602 of file Parameters.pb.cs.

◆ HasOptimizationRule

bool Google.OrTools.Glop.GlopParameters.HasOptimizationRule

get

Gets whether the "optimization_rule" field is set.

Definition at line 298 of file Parameters.pb.cs.

◆ HasPerturbCostsInDualSimplex

bool Google.OrTools.Glop.GlopParameters.HasPerturbCostsInDualSimplex

get

Gets whether the "perturb_costs_in_dual_simplex" field is set.

Definition at line 1791 of file Parameters.pb.cs.

◆ HasPreprocessorZeroTolerance

bool Google.OrTools.Glop.GlopParameters.HasPreprocessorZeroTolerance

get

Gets whether the "preprocessor_zero_tolerance" field is set.

Definition at line 1536 of file Parameters.pb.cs.

◆ HasPrimalFeasibilityTolerance

bool Google.OrTools.Glop.GlopParameters.HasPrimalFeasibilityTolerance

get

Gets whether the "primal_feasibility_tolerance" field is set.

Definition at line 438 of file Parameters.pb.cs.

◆ HasProvideStrongOptimalGuarantee

bool Google.OrTools.Glop.GlopParameters.HasProvideStrongOptimalGuarantee

get

Gets whether the "provide_strong_optimal_guarantee" field is set.

Definition at line 990 of file Parameters.pb.cs.

◆ HasPushToVertex

bool Google.OrTools.Glop.GlopParameters.HasPushToVertex

get

Gets whether the "push_to_vertex" field is set.

Definition at line 2065 of file Parameters.pb.cs.

◆ HasRandomSeed

bool Google.OrTools.Glop.GlopParameters.HasRandomSeed

get

Gets whether the "random_seed" field is set.

Definition at line 1697 of file Parameters.pb.cs.

◆ HasRatioTestZeroThreshold

bool Google.OrTools.Glop.GlopParameters.HasRatioTestZeroThreshold

get

Gets whether the "ratio_test_zero_threshold" field is set.

Definition at line 516 of file Parameters.pb.cs.

◆ HasRecomputeEdgesNormThreshold

bool Google.OrTools.Glop.GlopParameters.HasRecomputeEdgesNormThreshold

get

Gets whether the "recompute_edges_norm_threshold" field is set.

Definition at line 401 of file Parameters.pb.cs.

◆ HasRecomputeReducedCostsThreshold

bool Google.OrTools.Glop.GlopParameters.HasRecomputeReducedCostsThreshold

get

Gets whether the "recompute_reduced_costs_threshold" field is set.

Definition at line 367 of file Parameters.pb.cs.

◆ HasRefactorizationThreshold

bool Google.OrTools.Glop.GlopParameters.HasRefactorizationThreshold

get

Gets whether the "refactorization_threshold" field is set.

Definition at line 333 of file Parameters.pb.cs.

◆ HasRelativeCostPerturbation

bool Google.OrTools.Glop.GlopParameters.HasRelativeCostPerturbation

get

Gets whether the "relative_cost_perturbation" field is set.

Definition at line 1862 of file Parameters.pb.cs.

◆ HasRelativeMaxCostPerturbation

bool Google.OrTools.Glop.GlopParameters.HasRelativeMaxCostPerturbation

get

Gets whether the "relative_max_cost_perturbation" field is set.

Definition at line 1889 of file Parameters.pb.cs.

◆ HasScalingMethod

bool Google.OrTools.Glop.GlopParameters.HasScalingMethod

get

Gets whether the "scaling_method" field is set.

Definition at line 238 of file Parameters.pb.cs.

◆ HasSmallPivotThreshold

bool Google.OrTools.Glop.GlopParameters.HasSmallPivotThreshold

get

Gets whether the "small_pivot_threshold" field is set.

Definition at line 590 of file Parameters.pb.cs.

◆ HasSolutionFeasibilityTolerance

bool Google.OrTools.Glop.GlopParameters.HasSolutionFeasibilityTolerance

get

Gets whether the "solution_feasibility_tolerance" field is set.

Definition at line 941 of file Parameters.pb.cs.

◆ HasSolveDualProblem

bool Google.OrTools.Glop.GlopParameters.HasSolveDualProblem

get

Gets whether the "solve_dual_problem" field is set.

Definition at line 871 of file Parameters.pb.cs.

◆ HasUseAbslRandom

bool Google.OrTools.Glop.GlopParameters.HasUseAbslRandom

get

Gets whether the "use_absl_random" field is set.

Definition at line 1727 of file Parameters.pb.cs.

◆ HasUseDedicatedDualFeasibilityAlgorithm

bool Google.OrTools.Glop.GlopParameters.HasUseDedicatedDualFeasibilityAlgorithm

get

Gets whether the "use_dedicated_dual_feasibility_algorithm" field is set.

Definition at line 1829 of file Parameters.pb.cs.

◆ HasUseDualSimplex

bool Google.OrTools.Glop.GlopParameters.HasUseDualSimplex

get

Gets whether the "use_dual_simplex" field is set.

Definition at line 1277 of file Parameters.pb.cs.

◆ HasUseImpliedFreePreprocessor

bool Google.OrTools.Glop.GlopParameters.HasUseImpliedFreePreprocessor

get

Gets whether the "use_implied_free_preprocessor" field is set.

Definition at line 2095 of file Parameters.pb.cs.

◆ HasUseMiddleProductFormUpdate

bool Google.OrTools.Glop.GlopParameters.HasUseMiddleProductFormUpdate

get

Gets whether the "use_middle_product_form_update" field is set.

Definition at line 1406 of file Parameters.pb.cs.

◆ HasUsePreprocessing

bool Google.OrTools.Glop.GlopParameters.HasUsePreprocessing

get

Gets whether the "use_preprocessing" field is set.

Definition at line 1370 of file Parameters.pb.cs.

◆ HasUseScaling

bool Google.OrTools.Glop.GlopParameters.HasUseScaling

get

Gets whether the "use_scaling" field is set.

Definition at line 683 of file Parameters.pb.cs.

◆ HasUseTransposedMatrix

bool Google.OrTools.Glop.GlopParameters.HasUseTransposedMatrix

get

Gets whether the "use_transposed_matrix" field is set.

Definition at line 773 of file Parameters.pb.cs.

◆ InitialBasis

global.Google.OrTools.Glop.GlopParameters.Types.InitialBasisHeuristic Google.OrTools.Glop.GlopParameters.InitialBasis

getset

What heuristic is used to try to replace the fixed slack columns in the initial basis of the primal simplex.

Definition at line 731 of file Parameters.pb.cs.

◆ InitialConditionNumberThreshold

double Google.OrTools.Glop.GlopParameters.InitialConditionNumberThreshold

getset

If our upper bound on the condition number of the initial basis (from our heurisitic or a warm start) is above this threshold, we revert to an all slack basis.

Definition at line 1911 of file Parameters.pb.cs.

◆ InitializeDevexWithColumnNorms

bool Google.OrTools.Glop.GlopParameters.InitializeDevexWithColumnNorms

getset

Whether we initialize devex weights to 1.0 or to the norms of the matrix columns.

Definition at line 1427 of file Parameters.pb.cs.

◆ LogSearchProgress

bool Google.OrTools.Glop.GlopParameters.LogSearchProgress

getset

If true, logs the progress of a solve to LOG(INFO). Note that the same messages can also be turned on by displaying logs at level 1 for the relevant files.

Definition at line 1943 of file Parameters.pb.cs.

◆ LogToStdout

bool Google.OrTools.Glop.GlopParameters.LogToStdout

getset

If true, logs will be displayed to stdout instead of using Google log info.

Definition at line 1973 of file Parameters.pb.cs.

◆ LuFactorizationPivotThreshold

double Google.OrTools.Glop.GlopParameters.LuFactorizationPivotThreshold

getset

Threshold for LU-factorization: for stability reasons, the magnitude of the chosen pivot at a given step is guaranteed to be greater than this threshold times the maximum magnitude of all the possible pivot choices in the same column. The value must be in [0,1].

Definition at line 1077 of file Parameters.pb.cs.

◆ MarkowitzSingularityThreshold

double Google.OrTools.Glop.GlopParameters.MarkowitzSingularityThreshold

getset

If a pivot magnitude is smaller than this during the Markowitz LU factorization, then the matrix is assumed to be singular. Note that this is an absolute threshold and is not relative to the other possible pivots on the same column (see lu_factorization_pivot_threshold).

Definition at line 1237 of file Parameters.pb.cs.

◆ MarkowitzZlatevParameter

int Google.OrTools.Glop.GlopParameters.MarkowitzZlatevParameter

getset

How many columns do we look at in the Markowitz pivoting rule to find a good pivot. See markowitz.h.

Definition at line 1204 of file Parameters.pb.cs.

◆ MaxDeterministicTime

double Google.OrTools.Glop.GlopParameters.MaxDeterministicTime

getset

Maximum deterministic time allowed to solve a problem. The deterministic time is more or less correlated to the running time, and its unit should be around the second (at least on a Xeon(R) CPU E5-1650 v2 @ 3.50GHz).

Todo: (user): Improve the correlation.

Definition at line 1142 of file Parameters.pb.cs.

◆ MaxNumberOfIterations

long Google.OrTools.Glop.GlopParameters.MaxNumberOfIterations

getset

Maximum number of simplex iterations to solve a problem. A value of -1 means no limit.

Definition at line 1173 of file Parameters.pb.cs.

◆ MaxNumberOfReoptimizations

double Google.OrTools.Glop.GlopParameters.MaxNumberOfReoptimizations

getset

When the solution of phase II is imprecise, we re-run the phase II with the opposite algorithm from that imprecise solution (i.e., if primal or dual simplex was used, we use dual or primal simplex, respectively). We repeat such re-optimization until the solution is precise, or we hit this limit.

Definition at line 1044 of file Parameters.pb.cs.

◆ MaxTimeInSeconds

double Google.OrTools.Glop.GlopParameters.MaxTimeInSeconds

getset

Maximum time allowed in seconds to solve a problem.

Definition at line 1107 of file Parameters.pb.cs.

◆ MaxValidMagnitude

double Google.OrTools.Glop.GlopParameters.MaxValidMagnitude

getset

Any finite values in the input LP must be below this threshold, otherwise the model will be reported invalid. This is needed to avoid floating point overflow when evaluating bounds * coeff for instance. In practice, users shouldn't use super large values in an LP. With the default threshold, even evaluating large constraint with variables at their bound shouldn't cause any overflow.

Definition at line 2120 of file Parameters.pb.cs.

◆ MinimumAcceptablePivot

double Google.OrTools.Glop.GlopParameters.MinimumAcceptablePivot

getset

We never follow a basis change with a pivot under this threshold.

Definition at line 610 of file Parameters.pb.cs.

◆ NumOmpThreads

int Google.OrTools.Glop.GlopParameters.NumOmpThreads

getset

Number of threads in the OMP parallel sections. If left to 1, the code will not create any OMP threads and will remain single-threaded.

Definition at line 1748 of file Parameters.pb.cs.

◆ ObjectiveLowerLimit

double Google.OrTools.Glop.GlopParameters.ObjectiveLowerLimit

getset

The solver will stop as soon as it has proven that the objective is smaller than objective_lower_limit or greater than objective_upper_limit. Depending on the simplex algorithm (primal or dual) and the optimization direction,.

Note: only one bound will be used at the time. Important: The solver does not add any tolerances to these values, and as soon as the objective (as computed by the solver, so with some imprecision) crosses one of these bounds (strictly), the search will stop. It is up to the client to add any tolerance if needed.

Definition at line 1565 of file Parameters.pb.cs.

◆ ObjectiveUpperLimit

double Google.OrTools.Glop.GlopParameters.ObjectiveUpperLimit

getset

Definition at line 1592 of file Parameters.pb.cs.

◆ OptimizationRule

global.Google.OrTools.Glop.GlopParameters.Types.PricingRule Google.OrTools.Glop.GlopParameters.OptimizationRule

getset

PricingRule to use during the optimization phase.

Definition at line 288 of file Parameters.pb.cs.

◆ Parser

pb.MessageParser<GlopParameters> Google.OrTools.Glop.GlopParameters.Parser

staticget

Definition at line 126 of file Parameters.pb.cs.

◆ PerturbCostsInDualSimplex

bool Google.OrTools.Glop.GlopParameters.PerturbCostsInDualSimplex

getset

When this is true, then the costs are randomly perturbed before the dual simplex is even started. This has been shown to improve the dual simplex performance. For a good reference, see Huangfu Q (2013) "High performance simplex solver", Ph.D, dissertation, University of Edinburgh.

Definition at line 1781 of file Parameters.pb.cs.

◆ PreprocessorZeroTolerance

double Google.OrTools.Glop.GlopParameters.PreprocessorZeroTolerance

getset

A floating point tolerance used by the preprocessors. This is used for things like detecting if two columns/rows are proportional or if an interval is empty.

Note: the preprocessors also use solution_feasibility_tolerance() to detect if a problem is infeasible.

Definition at line 1526 of file Parameters.pb.cs.

◆ PrimalFeasibilityTolerance

double Google.OrTools.Glop.GlopParameters.PrimalFeasibilityTolerance

getset

This tolerance indicates by how much we allow the variable values to go out of bounds and still consider the current solution primal-feasible. We also use the same tolerance for the error A.x - b. Note that the two errors are closely related if A is scaled in such a way that the greatest coefficient magnitude on each column is 1.0.

This is also simply called feasibility tolerance in other solvers.

Definition at line 428 of file Parameters.pb.cs.

◆ ProvideStrongOptimalGuarantee

bool Google.OrTools.Glop.GlopParameters.ProvideStrongOptimalGuarantee

getset

If true, then when the solver returns a solution with an OPTIMAL status, we can guarantee that:

The primal variable are in their bounds.
The dual variable are in their bounds.
If we modify each component of the right-hand side a bit and each component of the objective function a bit, then the pair (primal values, dual values) is an EXACT optimal solution of the perturbed problem.
The modifications above are smaller than the associated tolerances as defined in the comment for solution_feasibility_tolerance (*). (*): This is the only place where the guarantee is not tight since we compute the upper bounds with scalar product of the primal/dual solution and the initial problem coefficients with only double precision.
Note
whether or not this option is true, we still check the primal/dual infeasibility and objective gap. However if it is false, we don't move the primal/dual values within their bounds and leave them untouched.

Definition at line 980 of file Parameters.pb.cs.

◆ PushToVertex

bool Google.OrTools.Glop.GlopParameters.PushToVertex

getset

If the optimization phases finishes with super-basic variables (i.e., variables that either 1) have bounds but are FREE in the basis, or 2) have no bounds and are FREE in the basis at a nonzero value), then run a "push" phase to push these variables to bounds, obtaining a vertex solution. Note this situation can happen only if a starting value was specified via SetStartingVariableValuesForNextSolve().

Definition at line 2055 of file Parameters.pb.cs.

◆ RandomSeed

int Google.OrTools.Glop.GlopParameters.RandomSeed

getset

At the beginning of each solve, the random number generator used in some part of the solver is reinitialized to this seed. If you change the random seed, the solver may make different choices during the solving process.

Note: this may lead to a different solution, for example a different optimal basis. For some problems, the running time may vary a lot depending on small change in the solving algorithm. Running the solver with different seeds enables to have more robust benchmarks when evaluating new features. Also note that the solver is fully deterministic: two runs of the same binary, on the same machine, on the exact same data and with the same parameters will go through the exact same iterations. If they hit a time limit, they might of course yield different results because one will have advanced farther than the other.

Definition at line 1687 of file Parameters.pb.cs.

◆ RatioTestZeroThreshold

double Google.OrTools.Glop.GlopParameters.RatioTestZeroThreshold

getset

During the primal simplex (resp. dual simplex), the coefficients of the direction (resp. update row) with a magnitude lower than this threshold are not considered during the ratio test. This tolerance is related to the precision at which a Solve() involving the basis matrix can be performed.

Todo: (user): Automatically increase it when we detect that the precision of the Solve() is worse than this.

Definition at line 506 of file Parameters.pb.cs.

◆ RecomputeEdgesNormThreshold

double Google.OrTools.Glop.GlopParameters.RecomputeEdgesNormThreshold

getset

Note: the threshold is a relative error on the actual norm (not the squared one) and that edge norms are always greater than 1. Recomputing norms is a really expensive operation and a large threshold is ok since this doesn't impact directly the solution but just the entering variable choice.

Definition at line 391 of file Parameters.pb.cs.

◆ RecomputeReducedCostsThreshold

double Google.OrTools.Glop.GlopParameters.RecomputeReducedCostsThreshold

getset

We estimate the accuracy of the iteratively computed reduced costs. If it falls below this threshold, we reinitialize them from scratch. Note that such an operation is pretty fast, so we can use a low threshold. It is important to have a good accuracy here (better than the dual_feasibility_tolerance below) to be sure of the sign of such a cost.

Definition at line 357 of file Parameters.pb.cs.

◆ RefactorizationThreshold

double Google.OrTools.Glop.GlopParameters.RefactorizationThreshold

getset

We estimate the factorization accuracy of B during each pivot by using the fact that we can compute the pivot coefficient in two ways:

From direction[leaving_row].
From update_row[entering_column]. If the two values have a relative difference above this threshold, we trigger a refactorization.

Definition at line 323 of file Parameters.pb.cs.

◆ RelativeCostPerturbation

double Google.OrTools.Glop.GlopParameters.RelativeCostPerturbation

getset

The magnitude of the cost perturbation is given by RandomIn(1.0, 2.0) * ( relative_cost_perturbation * cost.

relative_max_cost_perturbation * max_cost);

Definition at line 1852 of file Parameters.pb.cs.

◆ RelativeMaxCostPerturbation

double Google.OrTools.Glop.GlopParameters.RelativeMaxCostPerturbation

getset

Definition at line 1879 of file Parameters.pb.cs.

◆ ScalingMethod

global.Google.OrTools.Glop.GlopParameters.Types.ScalingAlgorithm Google.OrTools.Glop.GlopParameters.ScalingMethod

getset

Definition at line 228 of file Parameters.pb.cs.

◆ SmallPivotThreshold

double Google.OrTools.Glop.GlopParameters.SmallPivotThreshold

getset

When we choose the leaving variable, we want to avoid small pivot because they are the less precise and may cause numerical instabilities. For a pivot under this threshold times the infinity norm of the direction, we try various countermeasures in order to avoid using it.

Definition at line 580 of file Parameters.pb.cs.

◆ SolutionFeasibilityTolerance

double Google.OrTools.Glop.GlopParameters.SolutionFeasibilityTolerance

getset

When the problem status is OPTIMAL, we check the optimality using this relative tolerance and change the status to IMPRECISE if an issue is detected.

The tolerance is "relative" in the sense that our thresholds are:

tolerance * max(1.0, abs(bound)) for crossing a given bound.
tolerance * max(1.0, abs(cost)) for an infeasible reduced cost.
tolerance for an infeasible dual value.

Definition at line 931 of file Parameters.pb.cs.

◆ SolveDualProblem

global.Google.OrTools.Glop.GlopParameters.Types.SolverBehavior Google.OrTools.Glop.GlopParameters.SolveDualProblem

getset

Whether or not we solve the dual of the given problem. With a value of auto, the algorithm decide which approach is probably the fastest depending on the problem dimensions (see dualizer_threshold).

Definition at line 861 of file Parameters.pb.cs.

◆ UseAbslRandom

bool Google.OrTools.Glop.GlopParameters.UseAbslRandom

getset

Whether to use absl::BitGen instead of MTRandom.

Definition at line 1717 of file Parameters.pb.cs.

◆ UseDedicatedDualFeasibilityAlgorithm

bool Google.OrTools.Glop.GlopParameters.UseDedicatedDualFeasibilityAlgorithm

getset

We have two possible dual phase I algorithms. Both work on an LP that minimize the sum of dual infeasiblities. One use dedicated code (when this param is true), the other one use exactly the same code as the dual phase II but on an auxiliary problem where the variable bounds of the original problem are changed.

Todo: (user): For now we have both, but ideally the non-dedicated version will win since it is a lot less code to maintain.

Definition at line 1819 of file Parameters.pb.cs.

◆ UseDualSimplex

bool Google.OrTools.Glop.GlopParameters.UseDualSimplex

getset

Whether or not we use the dual simplex algorithm instead of the primal.

Definition at line 1267 of file Parameters.pb.cs.

◆ UseImpliedFreePreprocessor

bool Google.OrTools.Glop.GlopParameters.UseImpliedFreePreprocessor

getset

If presolve runs, include the pass that detects implied free variables.

Definition at line 2085 of file Parameters.pb.cs.

◆ UseMiddleProductFormUpdate

bool Google.OrTools.Glop.GlopParameters.UseMiddleProductFormUpdate

getset

Whether or not to use the middle product form update rather than the standard eta LU update. The middle form product update should be a lot more efficient (close to the Forrest-Tomlin update, a bit slower but easier to implement). See for more details: Qi Huangfu, J. A. Julian Hall, "Novel update techniques for the revised simplex method", 28 january 2013, Technical Report ERGO-13-0001 http://www.maths.ed.ac.uk/hall/HuHa12/ERGO-13-001.pdf.

Definition at line 1396 of file Parameters.pb.cs.

◆ UsePreprocessing

bool Google.OrTools.Glop.GlopParameters.UsePreprocessing

getset

Whether or not we use advanced preprocessing techniques.

Definition at line 1360 of file Parameters.pb.cs.

◆ UseScaling

bool Google.OrTools.Glop.GlopParameters.UseScaling

getset

Whether or not we scale the matrix A so that the maximum coefficient on each line and each column is 1.0.

Definition at line 673 of file Parameters.pb.cs.

◆ UseTransposedMatrix

bool Google.OrTools.Glop.GlopParameters.UseTransposedMatrix

getset

Whether or not we keep a transposed version of the matrix A to speed-up the pricing at the cost of extra memory and the initial tranposition computation.

Definition at line 763 of file Parameters.pb.cs.

The documentation for this class was generated from the following file:

build/dotnet/Google.OrTools/ortools/glop/Parameters.pb.cs

Classes

Public Member Functions

Static Public Attributes

Properties

Detailed Description

Constructor & Destructor Documentation

◆ GlopParameters() [1/2]

◆ GlopParameters() [2/2]

Member Function Documentation

◆ CalculateSize()

◆ ClearAllowSimplexAlgorithmChange()

◆ ClearBasisRefactorizationPeriod()

◆ ClearChangeStatusToImprecise()

◆ ClearCostScaling()

◆ ClearCrossoverBoundSnappingDistance()

◆ ClearDegenerateMinistepFactor()

◆ ClearDevexWeightsResetPeriod()

◆ ClearDropMagnitude()

◆ ClearDropTolerance()

◆ ClearDualFeasibilityTolerance()

◆ ClearDualizerThreshold()

◆ ClearDualPricePrioritizeNorm()

◆ ClearDualSmallPivotThreshold()

◆ ClearDynamicallyAdjustRefactorizationPeriod()

◆ ClearExploitSingletonColumnInInitialBasis()

◆ ClearFeasibilityRule()

◆ ClearHarrisToleranceRatio()

◆ ClearInitialBasis()

◆ ClearInitialConditionNumberThreshold()

◆ ClearInitializeDevexWithColumnNorms()

◆ ClearLogSearchProgress()

◆ ClearLogToStdout()

◆ ClearLuFactorizationPivotThreshold()

◆ ClearMarkowitzSingularityThreshold()

◆ ClearMarkowitzZlatevParameter()

◆ ClearMaxDeterministicTime()

◆ ClearMaxNumberOfIterations()

◆ ClearMaxNumberOfReoptimizations()

◆ ClearMaxTimeInSeconds()

◆ ClearMaxValidMagnitude()

◆ ClearMinimumAcceptablePivot()

◆ ClearNumOmpThreads()

◆ ClearObjectiveLowerLimit()

◆ ClearObjectiveUpperLimit()

◆ ClearOptimizationRule()

◆ ClearPerturbCostsInDualSimplex()

◆ ClearPreprocessorZeroTolerance()

◆ ClearPrimalFeasibilityTolerance()

◆ ClearProvideStrongOptimalGuarantee()

◆ ClearPushToVertex()

◆ ClearRandomSeed()

◆ ClearRatioTestZeroThreshold()

◆ ClearRecomputeEdgesNormThreshold()

◆ ClearRecomputeReducedCostsThreshold()

◆ ClearRefactorizationThreshold()

◆ ClearRelativeCostPerturbation()

◆ ClearRelativeMaxCostPerturbation()

◆ ClearScalingMethod()

◆ ClearSmallPivotThreshold()

◆ ClearSolutionFeasibilityTolerance()

◆ ClearSolveDualProblem()

◆ ClearUseAbslRandom()

◆ ClearUseDedicatedDualFeasibilityAlgorithm()

◆ ClearUseDualSimplex()

◆ ClearUseImpliedFreePreprocessor()

◆ ClearUseMiddleProductFormUpdate()

◆ ClearUsePreprocessing()

◆ ClearUseScaling()

◆ ClearUseTransposedMatrix()

◆ Clone()

◆ Equals() [1/2]

◆ Equals() [2/2]

◆ GetHashCode()

◆ MergeFrom() [1/2]

◆ MergeFrom() [2/2]

◆ ToString()

◆ WriteTo()

Member Data Documentation

◆ AllowSimplexAlgorithmChangeFieldNumber

◆ BasisRefactorizationPeriodFieldNumber