Uses of Interface
operations_research.pdlp.SolveLogOuterClass.ConvergenceInformationOrBuilder
Packages that use SolveLogOuterClass.ConvergenceInformationOrBuilder
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Uses of SolveLogOuterClass.ConvergenceInformationOrBuilder in operations_research.pdlp
Classes in operations_research.pdlp that implement SolveLogOuterClass.ConvergenceInformationOrBuilderModifier and TypeClassDescriptionstatic final classInformation measuring how close a candidate is to establishing feasibility and optimality; see also TerminationCriteria.static final classInformation measuring how close a candidate is to establishing feasibility and optimality; see also TerminationCriteria.Methods in operations_research.pdlp that return SolveLogOuterClass.ConvergenceInformationOrBuilderModifier and TypeMethodDescriptionSolveLogOuterClass.IterationStats.Builder.getConvergenceInformationOrBuilder(int index) A set of statistics measuring how close a point is to establishing primal and dual feasibility and optimality.SolveLogOuterClass.IterationStats.getConvergenceInformationOrBuilder(int index) A set of statistics measuring how close a point is to establishing primal and dual feasibility and optimality.SolveLogOuterClass.IterationStatsOrBuilder.getConvergenceInformationOrBuilder(int index) A set of statistics measuring how close a point is to establishing primal and dual feasibility and optimality.Methods in operations_research.pdlp that return types with arguments of type SolveLogOuterClass.ConvergenceInformationOrBuilderModifier and TypeMethodDescriptionSolveLogOuterClass.IterationStats.Builder.getConvergenceInformationOrBuilderList()A set of statistics measuring how close a point is to establishing primal and dual feasibility and optimality.SolveLogOuterClass.IterationStats.getConvergenceInformationOrBuilderList()A set of statistics measuring how close a point is to establishing primal and dual feasibility and optimality.SolveLogOuterClass.IterationStatsOrBuilder.getConvergenceInformationOrBuilderList()A set of statistics measuring how close a point is to establishing primal and dual feasibility and optimality.