Uses of Class
com.google.ortools.pdlp.ConvergenceInformation.Builder

Packages that use ConvergenceInformation.Builder

Package	Description
com.google.ortools.pdlp

Uses of ConvergenceInformation.Builder in com.google.ortools.pdlp

Methods in com.google.ortools.pdlp that return ConvergenceInformation.Builder

Modifier and Type	Method and Description
ConvergenceInformation.Builder	IterationStats.Builder.addConvergenceInformationBuilder() A set of statistics measuring how close a point is to establishing primal and dual feasibility and optimality.
ConvergenceInformation.Builder	IterationStats.Builder.addConvergenceInformationBuilder(int index) A set of statistics measuring how close a point is to establishing primal and dual feasibility and optimality.
ConvergenceInformation.Builder	ConvergenceInformation.Builder.clear()
ConvergenceInformation.Builder	ConvergenceInformation.Builder.clearCandidateType() Type of the candidate point described by this ConvergenceInformation.
ConvergenceInformation.Builder	ConvergenceInformation.Builder.clearCorrectedDualObjective() If possible (e.g., when all primal variables have lower and upper bounds), a correct dual bound.
ConvergenceInformation.Builder	ConvergenceInformation.Builder.clearDualObjective() The dual objective.
ConvergenceInformation.Builder	ConvergenceInformation.Builder.clearL2DualResidual() The l_2 norm of the violations of dual constraints.
ConvergenceInformation.Builder	ConvergenceInformation.Builder.clearL2DualVariable() The l_2 norm of the dual variables.
ConvergenceInformation.Builder	ConvergenceInformation.Builder.clearL2PrimalResidual() The l_2 norm of the violations of primal constraints.
ConvergenceInformation.Builder	ConvergenceInformation.Builder.clearL2PrimalVariable() The l_2 norm of the primal variables.
ConvergenceInformation.Builder	ConvergenceInformation.Builder.clearLInfComponentwiseDualResidual() The maximum relative violation of any dual constraint, with an absolute offset, i.e., the l_∞ norm of [violation / (eps_ratio + |objective|)] where eps_ratio = eps_optimal_dual_residual_absolute / eps_optimal_dual_residual_relative optional double l_inf_componentwise_dual_residual = 25;
ConvergenceInformation.Builder	ConvergenceInformation.Builder.clearLInfComponentwisePrimalResidual() The maximum relative violation of any primal constraint, with an absolute offset, i.e., the l_∞ norm of [violation / (eps_ratio + |bound|)] where eps_ratio = eps_optimal_primal_residual_absolute / eps_optimal_primal_residual_relative and bound is the violated bound.
ConvergenceInformation.Builder	ConvergenceInformation.Builder.clearLInfDualResidual() The maximum violation of any dual constraint, i.e., the l_∞ norm of the violations.
ConvergenceInformation.Builder	ConvergenceInformation.Builder.clearLInfDualVariable() The maximum absolute value of the dual variables, i.e., the l_∞ norm.
ConvergenceInformation.Builder	ConvergenceInformation.Builder.clearLInfPrimalResidual() The maximum violation of any primal constraint, i.e., the l_∞ norm of the violations.
ConvergenceInformation.Builder	ConvergenceInformation.Builder.clearLInfPrimalVariable() The maximum absolute value of the primal variables, i.e., the l_∞ norm.
ConvergenceInformation.Builder	ConvergenceInformation.Builder.clearPrimalObjective() The primal objective.
ConvergenceInformation.Builder	IterationStats.Builder.getConvergenceInformationBuilder(int index) A set of statistics measuring how close a point is to establishing primal and dual feasibility and optimality.
ConvergenceInformation.Builder	ConvergenceInformation.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ConvergenceInformation.Builder	ConvergenceInformation.Builder.mergeFrom(ConvergenceInformation other)
ConvergenceInformation.Builder	ConvergenceInformation.Builder.mergeFrom(com.google.protobuf.Message other)
static ConvergenceInformation.Builder	ConvergenceInformation.newBuilder()
static ConvergenceInformation.Builder	ConvergenceInformation.newBuilder(ConvergenceInformation prototype)
ConvergenceInformation.Builder	ConvergenceInformation.newBuilderForType()
protected ConvergenceInformation.Builder	ConvergenceInformation.newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent)
ConvergenceInformation.Builder	ConvergenceInformation.Builder.setCandidateType(PointType value) Type of the candidate point described by this ConvergenceInformation.
ConvergenceInformation.Builder	ConvergenceInformation.Builder.setCorrectedDualObjective(double value) If possible (e.g., when all primal variables have lower and upper bounds), a correct dual bound.
ConvergenceInformation.Builder	ConvergenceInformation.Builder.setDualObjective(double value) The dual objective.
ConvergenceInformation.Builder	ConvergenceInformation.Builder.setL2DualResidual(double value) The l_2 norm of the violations of dual constraints.
ConvergenceInformation.Builder	ConvergenceInformation.Builder.setL2DualVariable(double value) The l_2 norm of the dual variables.
ConvergenceInformation.Builder	ConvergenceInformation.Builder.setL2PrimalResidual(double value) The l_2 norm of the violations of primal constraints.
ConvergenceInformation.Builder	ConvergenceInformation.Builder.setL2PrimalVariable(double value) The l_2 norm of the primal variables.
ConvergenceInformation.Builder	ConvergenceInformation.Builder.setLInfComponentwiseDualResidual(double value) The maximum relative violation of any dual constraint, with an absolute offset, i.e., the l_∞ norm of [violation / (eps_ratio + |objective|)] where eps_ratio = eps_optimal_dual_residual_absolute / eps_optimal_dual_residual_relative optional double l_inf_componentwise_dual_residual = 25;
ConvergenceInformation.Builder	ConvergenceInformation.Builder.setLInfComponentwisePrimalResidual(double value) The maximum relative violation of any primal constraint, with an absolute offset, i.e., the l_∞ norm of [violation / (eps_ratio + |bound|)] where eps_ratio = eps_optimal_primal_residual_absolute / eps_optimal_primal_residual_relative and bound is the violated bound.
ConvergenceInformation.Builder	ConvergenceInformation.Builder.setLInfDualResidual(double value) The maximum violation of any dual constraint, i.e., the l_∞ norm of the violations.
ConvergenceInformation.Builder	ConvergenceInformation.Builder.setLInfDualVariable(double value) The maximum absolute value of the dual variables, i.e., the l_∞ norm.
ConvergenceInformation.Builder	ConvergenceInformation.Builder.setLInfPrimalResidual(double value) The maximum violation of any primal constraint, i.e., the l_∞ norm of the violations.
ConvergenceInformation.Builder	ConvergenceInformation.Builder.setLInfPrimalVariable(double value) The maximum absolute value of the primal variables, i.e., the l_∞ norm.
ConvergenceInformation.Builder	ConvergenceInformation.Builder.setPrimalObjective(double value) The primal objective.
ConvergenceInformation.Builder	ConvergenceInformation.toBuilder()

Methods in com.google.ortools.pdlp that return types with arguments of type ConvergenceInformation.Builder

Modifier and Type	Method and Description
java.util.List<ConvergenceInformation.Builder>	IterationStats.Builder.getConvergenceInformationBuilderList() A set of statistics measuring how close a point is to establishing primal and dual feasibility and optimality.

Methods in com.google.ortools.pdlp with parameters of type ConvergenceInformation.Builder

Modifier and Type	Method and Description
IterationStats.Builder	IterationStats.Builder.addConvergenceInformation(ConvergenceInformation.Builder builderForValue) A set of statistics measuring how close a point is to establishing primal and dual feasibility and optimality.
IterationStats.Builder	IterationStats.Builder.addConvergenceInformation(int index, ConvergenceInformation.Builder builderForValue) A set of statistics measuring how close a point is to establishing primal and dual feasibility and optimality.
IterationStats.Builder	IterationStats.Builder.setConvergenceInformation(int index, ConvergenceInformation.Builder builderForValue) A set of statistics measuring how close a point is to establishing primal and dual feasibility and optimality.