Uses of Class
operations_research.pdlp.SolveLogOuterClass.IterationStats.Builder

Packages that use SolveLogOuterClass.IterationStats.Builder

Package	Description
operations_research.pdlp

Uses of SolveLogOuterClass.IterationStats.Builder in operations_research.pdlp

Methods in operations_research.pdlp that return SolveLogOuterClass.IterationStats.Builder

Modifier and Type	Method	Description
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.addAllConvergenceInformation(java.lang.Iterable<? extends SolveLogOuterClass.ConvergenceInformation> values)	A set of statistics measuring how close a point is to establishing primal and dual feasibility and optimality.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.addAllInfeasibilityInformation(java.lang.Iterable<? extends SolveLogOuterClass.InfeasibilityInformation> values)	A set of statistics measuring how close a point is to establishing primal or dual infeasibility (i.e., has no solution).
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.addAllPointMetadata(java.lang.Iterable<? extends SolveLogOuterClass.PointMetadata> values)	Auxiliary statistics for each type of point.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.addConvergenceInformation(int index, SolveLogOuterClass.ConvergenceInformation value)	A set of statistics measuring how close a point is to establishing primal and dual feasibility and optimality.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.addConvergenceInformation(int index, SolveLogOuterClass.ConvergenceInformation.Builder builderForValue)	A set of statistics measuring how close a point is to establishing primal and dual feasibility and optimality.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.addConvergenceInformation(SolveLogOuterClass.ConvergenceInformation value)	A set of statistics measuring how close a point is to establishing primal and dual feasibility and optimality.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.addConvergenceInformation(SolveLogOuterClass.ConvergenceInformation.Builder builderForValue)	A set of statistics measuring how close a point is to establishing primal and dual feasibility and optimality.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.addInfeasibilityInformation(int index, SolveLogOuterClass.InfeasibilityInformation value)	A set of statistics measuring how close a point is to establishing primal or dual infeasibility (i.e., has no solution).
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.addInfeasibilityInformation(int index, SolveLogOuterClass.InfeasibilityInformation.Builder builderForValue)	A set of statistics measuring how close a point is to establishing primal or dual infeasibility (i.e., has no solution).
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.addInfeasibilityInformation(SolveLogOuterClass.InfeasibilityInformation value)	A set of statistics measuring how close a point is to establishing primal or dual infeasibility (i.e., has no solution).
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.addInfeasibilityInformation(SolveLogOuterClass.InfeasibilityInformation.Builder builderForValue)	A set of statistics measuring how close a point is to establishing primal or dual infeasibility (i.e., has no solution).
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.FeasibilityPolishingDetails.Builder.addIterationStatsBuilder()	repeated .operations_research.pdlp.IterationStats iteration_stats = 9;
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.FeasibilityPolishingDetails.Builder.addIterationStatsBuilder(int index)	repeated .operations_research.pdlp.IterationStats iteration_stats = 9;
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.SolveLog.Builder.addIterationStatsBuilder()	A history of iteration stats for the solve.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.SolveLog.Builder.addIterationStatsBuilder(int index)	A history of iteration stats for the solve.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.addPointMetadata(int index, SolveLogOuterClass.PointMetadata value)	Auxiliary statistics for each type of point.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.addPointMetadata(int index, SolveLogOuterClass.PointMetadata.Builder builderForValue)	Auxiliary statistics for each type of point.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.addPointMetadata(SolveLogOuterClass.PointMetadata value)	Auxiliary statistics for each type of point.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.addPointMetadata(SolveLogOuterClass.PointMetadata.Builder builderForValue)	Auxiliary statistics for each type of point.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value)
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.clear()
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.clearConvergenceInformation()	A set of statistics measuring how close a point is to establishing primal and dual feasibility and optimality.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.clearCumulativeKktMatrixPasses()	The cumulative number of passes through the KKT matrix since the start of the solve.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.clearCumulativeRejectedSteps()	The total number of rejected steps (e.g., within a line search procedure) since the start of the solve.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.clearCumulativeTimeSec()	The amount of time passed since we started solving the problem (see solver log `solve_time_sec` which records total time).
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.clearInfeasibilityInformation()	A set of statistics measuring how close a point is to establishing primal or dual infeasibility (i.e., has no solution).
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.clearIterationNumber()	The iteration number at which these stats were recorded.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.clearPointMetadata()	Auxiliary statistics for each type of point.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.clearPrimalWeight()	Primal weight controlling the relation between primal and dual step sizes.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.clearRestartUsed()	The kind of restart that occurred at this iteration, or NO_RESTART if a restart did not occur.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.clearStepSize()	Step size used at this iteration.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.clone()
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.FeasibilityPolishingDetails.Builder.getIterationStatsBuilder(int index)	repeated .operations_research.pdlp.IterationStats iteration_stats = 9;
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.SolveLog.Builder.getIterationStatsBuilder(int index)	A history of iteration stats for the solve.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.FeasibilityPolishingDetails.Builder.getSolutionStatsBuilder()	optional .operations_research.pdlp.IterationStats solution_stats = 7;
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.SolveLog.Builder.getSolutionStatsBuilder()	The `IterationStats` for the final iteration of the solver.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.mergeFrom(com.google.protobuf.Message other)
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.mergeFrom(SolveLogOuterClass.IterationStats other)
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
static SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.newBuilder()
static SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.newBuilder(SolveLogOuterClass.IterationStats prototype)
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.newBuilderForType()
protected SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.removeConvergenceInformation(int index)	A set of statistics measuring how close a point is to establishing primal and dual feasibility and optimality.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.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).
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.removePointMetadata(int index)	Auxiliary statistics for each type of point.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.setConvergenceInformation(int index, SolveLogOuterClass.ConvergenceInformation value)	A set of statistics measuring how close a point is to establishing primal and dual feasibility and optimality.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.setConvergenceInformation(int index, SolveLogOuterClass.ConvergenceInformation.Builder builderForValue)	A set of statistics measuring how close a point is to establishing primal and dual feasibility and optimality.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.setCumulativeKktMatrixPasses(double value)	The cumulative number of passes through the KKT matrix since the start of the solve.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.setCumulativeRejectedSteps(int value)	The total number of rejected steps (e.g., within a line search procedure) since the start of the solve.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.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).
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.setField(com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value)
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.setInfeasibilityInformation(int index, SolveLogOuterClass.InfeasibilityInformation value)	A set of statistics measuring how close a point is to establishing primal or dual infeasibility (i.e., has no solution).
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.setInfeasibilityInformation(int index, SolveLogOuterClass.InfeasibilityInformation.Builder builderForValue)	A set of statistics measuring how close a point is to establishing primal or dual infeasibility (i.e., has no solution).
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.setIterationNumber(int value)	The iteration number at which these stats were recorded.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.setPointMetadata(int index, SolveLogOuterClass.PointMetadata value)	Auxiliary statistics for each type of point.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.setPointMetadata(int index, SolveLogOuterClass.PointMetadata.Builder builderForValue)	Auxiliary statistics for each type of point.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.setPrimalWeight(double value)	Primal weight controlling the relation between primal and dual step sizes.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value)
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.setRestartUsed(SolveLogOuterClass.RestartChoice value)	The kind of restart that occurred at this iteration, or NO_RESTART if a restart did not occur.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.setStepSize(double value)	Step size used at this iteration.
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.Builder.setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
SolveLogOuterClass.IterationStats.Builder	SolveLogOuterClass.IterationStats.toBuilder()

Methods in operations_research.pdlp that return types with arguments of type SolveLogOuterClass.IterationStats.Builder

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

Methods in operations_research.pdlp with parameters of type SolveLogOuterClass.IterationStats.Builder

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