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

Packages that use IterationStats.Builder

Package	Description
com.google.ortools.pdlp

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

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

Modifier and Type	Method and Description
IterationStats.Builder	IterationStats.Builder.addAllConvergenceInformation(java.lang.Iterable<? extends ConvergenceInformation> values) A set of statistics measuring how close a point is to establishing primal and dual feasibility and optimality.
IterationStats.Builder	IterationStats.Builder.addAllInfeasibilityInformation(java.lang.Iterable<? extends InfeasibilityInformation> values) A set of statistics measuring how close a point is to establishing primal or dual infeasibility (i.e., has no solution).
IterationStats.Builder	IterationStats.Builder.addAllPointMetadata(java.lang.Iterable<? extends PointMetadata> values) Auxiliary statistics for each type of point.
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(ConvergenceInformation value) 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.addConvergenceInformation(int index, ConvergenceInformation value) A set of statistics measuring how close a point is to establishing primal and dual feasibility and optimality.
IterationStats.Builder	IterationStats.Builder.addInfeasibilityInformation(InfeasibilityInformation.Builder builderForValue) A set of statistics measuring how close a point is to establishing primal or dual infeasibility (i.e., has no solution).
IterationStats.Builder	IterationStats.Builder.addInfeasibilityInformation(InfeasibilityInformation value) A set of statistics measuring how close a point is to establishing primal or dual infeasibility (i.e., has no solution).
IterationStats.Builder	IterationStats.Builder.addInfeasibilityInformation(int index, InfeasibilityInformation.Builder builderForValue) A set of statistics measuring how close a point is to establishing primal or dual infeasibility (i.e., has no solution).
IterationStats.Builder	IterationStats.Builder.addInfeasibilityInformation(int index, InfeasibilityInformation value) A set of statistics measuring how close a point is to establishing primal or dual infeasibility (i.e., has no solution).
IterationStats.Builder	SolveLog.Builder.addIterationStatsBuilder() A history of iteration stats for the solve.
IterationStats.Builder	FeasibilityPolishingDetails.Builder.addIterationStatsBuilder() repeated .operations_research.pdlp.IterationStats iteration_stats = 9;
IterationStats.Builder	SolveLog.Builder.addIterationStatsBuilder(int index) A history of iteration stats for the solve.
IterationStats.Builder	FeasibilityPolishingDetails.Builder.addIterationStatsBuilder(int index) repeated .operations_research.pdlp.IterationStats iteration_stats = 9;
IterationStats.Builder	IterationStats.Builder.addPointMetadata(int index, PointMetadata.Builder builderForValue) Auxiliary statistics for each type of point.
IterationStats.Builder	IterationStats.Builder.addPointMetadata(int index, PointMetadata value) Auxiliary statistics for each type of point.
IterationStats.Builder	IterationStats.Builder.addPointMetadata(PointMetadata.Builder builderForValue) Auxiliary statistics for each type of point.
IterationStats.Builder	IterationStats.Builder.addPointMetadata(PointMetadata value) Auxiliary statistics for each type of point.
IterationStats.Builder	IterationStats.Builder.clear()
IterationStats.Builder	IterationStats.Builder.clearConvergenceInformation() A set of statistics measuring how close a point is to establishing primal and dual feasibility and optimality.
IterationStats.Builder	IterationStats.Builder.clearCumulativeKktMatrixPasses() The cumulative number of passes through the KKT matrix since the start of the solve.
IterationStats.Builder	IterationStats.Builder.clearCumulativeRejectedSteps() The total number of rejected steps (e.g., within a line search procedure) since the start of the solve.
IterationStats.Builder	IterationStats.Builder.clearCumulativeTimeSec() The amount of time passed since we started solving the problem (see solver log `solve_time_sec` which records total time).
IterationStats.Builder	IterationStats.Builder.clearInfeasibilityInformation() A set of statistics measuring how close a point is to establishing primal or dual infeasibility (i.e., has no solution).
IterationStats.Builder	IterationStats.Builder.clearIterationNumber() The iteration number at which these stats were recorded.
IterationStats.Builder	IterationStats.Builder.clearPointMetadata() Auxiliary statistics for each type of point.
IterationStats.Builder	IterationStats.Builder.clearPrimalWeight() Primal weight controlling the relation between primal and dual step sizes.
IterationStats.Builder	IterationStats.Builder.clearRestartUsed() The kind of restart that occurred at this iteration, or NO_RESTART if a restart did not occur.
IterationStats.Builder	IterationStats.Builder.clearStepSize() Step size used at this iteration.
IterationStats.Builder	SolveLog.Builder.getIterationStatsBuilder(int index) A history of iteration stats for the solve.
IterationStats.Builder	FeasibilityPolishingDetails.Builder.getIterationStatsBuilder(int index) repeated .operations_research.pdlp.IterationStats iteration_stats = 9;
IterationStats.Builder	SolveLog.Builder.getSolutionStatsBuilder() The `IterationStats` for the final iteration of the solver.
IterationStats.Builder	FeasibilityPolishingDetails.Builder.getSolutionStatsBuilder() optional .operations_research.pdlp.IterationStats solution_stats = 7;
IterationStats.Builder	IterationStats.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
IterationStats.Builder	IterationStats.Builder.mergeFrom(IterationStats other)
IterationStats.Builder	IterationStats.Builder.mergeFrom(com.google.protobuf.Message other)
static IterationStats.Builder	IterationStats.newBuilder()
static IterationStats.Builder	IterationStats.newBuilder(IterationStats prototype)
IterationStats.Builder	IterationStats.newBuilderForType()
protected IterationStats.Builder	IterationStats.newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent)
IterationStats.Builder	IterationStats.Builder.removeConvergenceInformation(int index) A set of statistics measuring how close a point is to establishing primal and dual feasibility and optimality.
IterationStats.Builder	IterationStats.Builder.removeInfeasibilityInformation(int index) A set of statistics measuring how close a point is to establishing primal or dual infeasibility (i.e., has no solution).
IterationStats.Builder	IterationStats.Builder.removePointMetadata(int index) Auxiliary statistics for each type of point.
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.
IterationStats.Builder	IterationStats.Builder.setConvergenceInformation(int index, ConvergenceInformation value) A set of statistics measuring how close a point is to establishing primal and dual feasibility and optimality.
IterationStats.Builder	IterationStats.Builder.setCumulativeKktMatrixPasses(double value) The cumulative number of passes through the KKT matrix since the start of the solve.
IterationStats.Builder	IterationStats.Builder.setCumulativeRejectedSteps(int value) The total number of rejected steps (e.g., within a line search procedure) since the start of the solve.
IterationStats.Builder	IterationStats.Builder.setCumulativeTimeSec(double value) The amount of time passed since we started solving the problem (see solver log `solve_time_sec` which records total time).
IterationStats.Builder	IterationStats.Builder.setInfeasibilityInformation(int index, InfeasibilityInformation.Builder builderForValue) A set of statistics measuring how close a point is to establishing primal or dual infeasibility (i.e., has no solution).
IterationStats.Builder	IterationStats.Builder.setInfeasibilityInformation(int index, InfeasibilityInformation value) A set of statistics measuring how close a point is to establishing primal or dual infeasibility (i.e., has no solution).
IterationStats.Builder	IterationStats.Builder.setIterationNumber(int value) The iteration number at which these stats were recorded.
IterationStats.Builder	IterationStats.Builder.setPointMetadata(int index, PointMetadata.Builder builderForValue) Auxiliary statistics for each type of point.
IterationStats.Builder	IterationStats.Builder.setPointMetadata(int index, PointMetadata value) Auxiliary statistics for each type of point.
IterationStats.Builder	IterationStats.Builder.setPrimalWeight(double value) Primal weight controlling the relation between primal and dual step sizes.
IterationStats.Builder	IterationStats.Builder.setRestartUsed(RestartChoice value) The kind of restart that occurred at this iteration, or NO_RESTART if a restart did not occur.
IterationStats.Builder	IterationStats.Builder.setStepSize(double value) Step size used at this iteration.
IterationStats.Builder	IterationStats.toBuilder()

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

Modifier and Type	Method and Description
java.util.List<IterationStats.Builder>	SolveLog.Builder.getIterationStatsBuilderList() A history of iteration stats for the solve.
java.util.List<IterationStats.Builder>	FeasibilityPolishingDetails.Builder.getIterationStatsBuilderList() repeated .operations_research.pdlp.IterationStats iteration_stats = 9;

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

Modifier and Type	Method and Description
SolveLog.Builder	SolveLog.Builder.addIterationStats(int index, IterationStats.Builder builderForValue) A history of iteration stats for the solve.
FeasibilityPolishingDetails.Builder	FeasibilityPolishingDetails.Builder.addIterationStats(int index, IterationStats.Builder builderForValue) repeated .operations_research.pdlp.IterationStats iteration_stats = 9;
SolveLog.Builder	SolveLog.Builder.addIterationStats(IterationStats.Builder builderForValue) A history of iteration stats for the solve.
FeasibilityPolishingDetails.Builder	FeasibilityPolishingDetails.Builder.addIterationStats(IterationStats.Builder builderForValue) repeated .operations_research.pdlp.IterationStats iteration_stats = 9;
SolveLog.Builder	SolveLog.Builder.setIterationStats(int index, IterationStats.Builder builderForValue) A history of iteration stats for the solve.
FeasibilityPolishingDetails.Builder	FeasibilityPolishingDetails.Builder.setIterationStats(int index, IterationStats.Builder builderForValue) repeated .operations_research.pdlp.IterationStats iteration_stats = 9;
SolveLog.Builder	SolveLog.Builder.setSolutionStats(IterationStats.Builder builderForValue) The `IterationStats` for the final iteration of the solver.
FeasibilityPolishingDetails.Builder	FeasibilityPolishingDetails.Builder.setSolutionStats(IterationStats.Builder builderForValue) optional .operations_research.pdlp.IterationStats solution_stats = 7;