Package operations_research.pdlp

Class SolveLogOuterClass.IterationStats.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessageV3.Builder<SolveLogOuterClass.IterationStats.Builder>
operations_research.pdlp.SolveLogOuterClass.IterationStats.Builder
All Implemented Interfaces:
com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable, SolveLogOuterClass.IterationStatsOrBuilder
Enclosing class:
SolveLogOuterClass.IterationStats
public static final class SolveLogOuterClass.IterationStats.Builder extends com.google.protobuf.GeneratedMessageV3.Builder<SolveLogOuterClass.IterationStats.Builder> implements SolveLogOuterClass.IterationStatsOrBuilder
 All values in IterationStats assume that the primal quadratic program is a
 minimization problem and the dual is a maximization problem. Problems should
 be transformed to this form if they are not already in this form. The dual
 vector is defined to be the vector of multipliers on the linear constraints,
 that is, excluding dual multipliers on variable bounds (reduced costs).
Protobuf type operations_research.pdlp.IterationStats

  • Method Details

    • getDescriptor

      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

    • internalGetFieldAccessorTable

      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<SolveLogOuterClass.IterationStats.Builder>

    • clear

      public SolveLogOuterClass.IterationStats.Builder clear()
      Specified by:
      clear in interface com.google.protobuf.Message.Builder
      Specified by:
      clear in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      clear in class com.google.protobuf.GeneratedMessageV3.Builder<SolveLogOuterClass.IterationStats.Builder>

    • getDescriptorForType

      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
      Specified by:
      getDescriptorForType in interface com.google.protobuf.Message.Builder
      Specified by:
      getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
      Overrides:
      getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<SolveLogOuterClass.IterationStats.Builder>

    • getDefaultInstanceForType

      public SolveLogOuterClass.IterationStats getDefaultInstanceForType()
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

    • build

      public SolveLogOuterClass.IterationStats build()
      Specified by:
      build in interface com.google.protobuf.Message.Builder
      Specified by:
      build in interface com.google.protobuf.MessageLite.Builder

    • buildPartial

      public SolveLogOuterClass.IterationStats buildPartial()
      Specified by:
      buildPartial in interface com.google.protobuf.Message.Builder
      Specified by:
      buildPartial in interface com.google.protobuf.MessageLite.Builder

    • clone

      public SolveLogOuterClass.IterationStats.Builder clone()
      Specified by:
      clone in interface com.google.protobuf.Message.Builder
      Specified by:
      clone in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      clone in class com.google.protobuf.GeneratedMessageV3.Builder<SolveLogOuterClass.IterationStats.Builder>

    • setField

      public SolveLogOuterClass.IterationStats.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
      Specified by:
      setField in interface com.google.protobuf.Message.Builder
      Overrides:
      setField in class com.google.protobuf.GeneratedMessageV3.Builder<SolveLogOuterClass.IterationStats.Builder>

    • clearField

      public SolveLogOuterClass.IterationStats.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
      Specified by:
      clearField in interface com.google.protobuf.Message.Builder
      Overrides:
      clearField in class com.google.protobuf.GeneratedMessageV3.Builder<SolveLogOuterClass.IterationStats.Builder>

    • clearOneof

      public SolveLogOuterClass.IterationStats.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
      Specified by:
      clearOneof in interface com.google.protobuf.Message.Builder
      Overrides:
      clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<SolveLogOuterClass.IterationStats.Builder>

    • setRepeatedField

      public SolveLogOuterClass.IterationStats.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
      Specified by:
      setRepeatedField in interface com.google.protobuf.Message.Builder
      Overrides:
      setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<SolveLogOuterClass.IterationStats.Builder>

    • addRepeatedField

      public SolveLogOuterClass.IterationStats.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
      Specified by:
      addRepeatedField in interface com.google.protobuf.Message.Builder
      Overrides:
      addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<SolveLogOuterClass.IterationStats.Builder>

    • mergeFrom

      public SolveLogOuterClass.IterationStats.Builder mergeFrom(com.google.protobuf.Message other)
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<SolveLogOuterClass.IterationStats.Builder>

    • mergeFrom

      public SolveLogOuterClass.IterationStats.Builder mergeFrom(SolveLogOuterClass.IterationStats other)

    • isInitialized

      public final boolean isInitialized()
      Specified by:
      isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
      Overrides:
      isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<SolveLogOuterClass.IterationStats.Builder>

    • mergeFrom

      public SolveLogOuterClass.IterationStats.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Specified by:
      mergeFrom in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<SolveLogOuterClass.IterationStats.Builder>
      Throws:
      IOException

    • hasIterationNumber

      public boolean hasIterationNumber()
       The iteration number at which these stats were recorded. By convention,
 iteration counts start at 1, and the stats correspond to the solution
 *after* the iteration. Therefore stats from iteration 0 are the stats at
 the starting point.
      optional int32 iteration_number = 1;
      Specified by:
      hasIterationNumber in interface SolveLogOuterClass.IterationStatsOrBuilder
      Returns:
      Whether the iterationNumber field is set.

    • getIterationNumber

      public int getIterationNumber()
       The iteration number at which these stats were recorded. By convention,
 iteration counts start at 1, and the stats correspond to the solution
 *after* the iteration. Therefore stats from iteration 0 are the stats at
 the starting point.
      optional int32 iteration_number = 1;
      Specified by:
      getIterationNumber in interface SolveLogOuterClass.IterationStatsOrBuilder
      Returns:
      The iterationNumber.

    • setIterationNumber

      public SolveLogOuterClass.IterationStats.Builder setIterationNumber(int value)
       The iteration number at which these stats were recorded. By convention,
 iteration counts start at 1, and the stats correspond to the solution
 *after* the iteration. Therefore stats from iteration 0 are the stats at
 the starting point.
      optional int32 iteration_number = 1;
      Parameters:
      value - The iterationNumber to set.
      Returns:
      This builder for chaining.

    • clearIterationNumber

      public SolveLogOuterClass.IterationStats.Builder clearIterationNumber()
       The iteration number at which these stats were recorded. By convention,
 iteration counts start at 1, and the stats correspond to the solution
 *after* the iteration. Therefore stats from iteration 0 are the stats at
 the starting point.
      optional int32 iteration_number = 1;
      Returns:
      This builder for chaining.

    • getConvergenceInformationList

      public List<SolveLogOuterClass.ConvergenceInformation> getConvergenceInformationList()
       A set of statistics measuring how close a point is to establishing primal
 and dual feasibility and optimality. This field is repeated since there
 might be several different points that are considered.
      repeated .operations_research.pdlp.ConvergenceInformation convergence_information = 2;
      Specified by:
      getConvergenceInformationList in interface SolveLogOuterClass.IterationStatsOrBuilder

    • getConvergenceInformationCount

      public int getConvergenceInformationCount()
       A set of statistics measuring how close a point is to establishing primal
 and dual feasibility and optimality. This field is repeated since there
 might be several different points that are considered.
      repeated .operations_research.pdlp.ConvergenceInformation convergence_information = 2;
      Specified by:
      getConvergenceInformationCount in interface SolveLogOuterClass.IterationStatsOrBuilder

    • getConvergenceInformation

      public SolveLogOuterClass.ConvergenceInformation getConvergenceInformation(int index)
       A set of statistics measuring how close a point is to establishing primal
 and dual feasibility and optimality. This field is repeated since there
 might be several different points that are considered.
      repeated .operations_research.pdlp.ConvergenceInformation convergence_information = 2;
      Specified by:
      getConvergenceInformation in interface SolveLogOuterClass.IterationStatsOrBuilder

    • setConvergenceInformation

      public 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. This field is repeated since there
 might be several different points that are considered.
      repeated .operations_research.pdlp.ConvergenceInformation convergence_information = 2;

    • setConvergenceInformation

      public 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. This field is repeated since there
 might be several different points that are considered.
      repeated .operations_research.pdlp.ConvergenceInformation convergence_information = 2;

    • addConvergenceInformation

      public 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. This field is repeated since there
 might be several different points that are considered.
      repeated .operations_research.pdlp.ConvergenceInformation convergence_information = 2;

    • addConvergenceInformation

      public 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. This field is repeated since there
 might be several different points that are considered.
      repeated .operations_research.pdlp.ConvergenceInformation convergence_information = 2;

    • addConvergenceInformation

      public 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. This field is repeated since there
 might be several different points that are considered.
      repeated .operations_research.pdlp.ConvergenceInformation convergence_information = 2;

    • addConvergenceInformation

      public 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. This field is repeated since there
 might be several different points that are considered.
      repeated .operations_research.pdlp.ConvergenceInformation convergence_information = 2;

    • addAllConvergenceInformation

      public SolveLogOuterClass.IterationStats.Builder addAllConvergenceInformation(Iterable<? extends SolveLogOuterClass.ConvergenceInformation> values)
       A set of statistics measuring how close a point is to establishing primal
 and dual feasibility and optimality. This field is repeated since there
 might be several different points that are considered.
      repeated .operations_research.pdlp.ConvergenceInformation convergence_information = 2;

    • clearConvergenceInformation

      public SolveLogOuterClass.IterationStats.Builder clearConvergenceInformation()
       A set of statistics measuring how close a point is to establishing primal
 and dual feasibility and optimality. This field is repeated since there
 might be several different points that are considered.
      repeated .operations_research.pdlp.ConvergenceInformation convergence_information = 2;

    • removeConvergenceInformation

      public SolveLogOuterClass.IterationStats.Builder removeConvergenceInformation(int index)
       A set of statistics measuring how close a point is to establishing primal
 and dual feasibility and optimality. This field is repeated since there
 might be several different points that are considered.
      repeated .operations_research.pdlp.ConvergenceInformation convergence_information = 2;

    • getConvergenceInformationBuilder

      public SolveLogOuterClass.ConvergenceInformation.Builder getConvergenceInformationBuilder(int index)
       A set of statistics measuring how close a point is to establishing primal
 and dual feasibility and optimality. This field is repeated since there
 might be several different points that are considered.
      repeated .operations_research.pdlp.ConvergenceInformation convergence_information = 2;

    • getConvergenceInformationOrBuilder

      public SolveLogOuterClass.ConvergenceInformationOrBuilder getConvergenceInformationOrBuilder(int index)
       A set of statistics measuring how close a point is to establishing primal
 and dual feasibility and optimality. This field is repeated since there
 might be several different points that are considered.
      repeated .operations_research.pdlp.ConvergenceInformation convergence_information = 2;
      Specified by:
      getConvergenceInformationOrBuilder in interface SolveLogOuterClass.IterationStatsOrBuilder

    • getConvergenceInformationOrBuilderList

      public List<? extends SolveLogOuterClass.ConvergenceInformationOrBuilder> getConvergenceInformationOrBuilderList()
       A set of statistics measuring how close a point is to establishing primal
 and dual feasibility and optimality. This field is repeated since there
 might be several different points that are considered.
      repeated .operations_research.pdlp.ConvergenceInformation convergence_information = 2;
      Specified by:
      getConvergenceInformationOrBuilderList in interface SolveLogOuterClass.IterationStatsOrBuilder

    • addConvergenceInformationBuilder

      public SolveLogOuterClass.ConvergenceInformation.Builder addConvergenceInformationBuilder()
       A set of statistics measuring how close a point is to establishing primal
 and dual feasibility and optimality. This field is repeated since there
 might be several different points that are considered.
      repeated .operations_research.pdlp.ConvergenceInformation convergence_information = 2;

    • addConvergenceInformationBuilder

      public SolveLogOuterClass.ConvergenceInformation.Builder addConvergenceInformationBuilder(int index)
       A set of statistics measuring how close a point is to establishing primal
 and dual feasibility and optimality. This field is repeated since there
 might be several different points that are considered.
      repeated .operations_research.pdlp.ConvergenceInformation convergence_information = 2;

    • getConvergenceInformationBuilderList

      public List<SolveLogOuterClass.ConvergenceInformation.Builder> getConvergenceInformationBuilderList()
       A set of statistics measuring how close a point is to establishing primal
 and dual feasibility and optimality. This field is repeated since there
 might be several different points that are considered.
      repeated .operations_research.pdlp.ConvergenceInformation convergence_information = 2;

    • getInfeasibilityInformationList

      public List<SolveLogOuterClass.InfeasibilityInformation> getInfeasibilityInformationList()
       A set of statistics measuring how close a point is to establishing primal
 or dual infeasibility (i.e., has no solution). This field is repeated since
 there might be several different points that could establish infeasibility.
      repeated .operations_research.pdlp.InfeasibilityInformation infeasibility_information = 3;
      Specified by:
      getInfeasibilityInformationList in interface SolveLogOuterClass.IterationStatsOrBuilder

    • getInfeasibilityInformationCount

      public int getInfeasibilityInformationCount()
       A set of statistics measuring how close a point is to establishing primal
 or dual infeasibility (i.e., has no solution). This field is repeated since
 there might be several different points that could establish infeasibility.
      repeated .operations_research.pdlp.InfeasibilityInformation infeasibility_information = 3;
      Specified by:
      getInfeasibilityInformationCount in interface SolveLogOuterClass.IterationStatsOrBuilder

    • getInfeasibilityInformation

      public SolveLogOuterClass.InfeasibilityInformation getInfeasibilityInformation(int index)
       A set of statistics measuring how close a point is to establishing primal
 or dual infeasibility (i.e., has no solution). This field is repeated since
 there might be several different points that could establish infeasibility.
      repeated .operations_research.pdlp.InfeasibilityInformation infeasibility_information = 3;
      Specified by:
      getInfeasibilityInformation in interface SolveLogOuterClass.IterationStatsOrBuilder

    • setInfeasibilityInformation

      public 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). This field is repeated since
 there might be several different points that could establish infeasibility.
      repeated .operations_research.pdlp.InfeasibilityInformation infeasibility_information = 3;

    • setInfeasibilityInformation

      public 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). This field is repeated since
 there might be several different points that could establish infeasibility.
      repeated .operations_research.pdlp.InfeasibilityInformation infeasibility_information = 3;

    • addInfeasibilityInformation

      public 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). This field is repeated since
 there might be several different points that could establish infeasibility.
      repeated .operations_research.pdlp.InfeasibilityInformation infeasibility_information = 3;

    • addInfeasibilityInformation

      public 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). This field is repeated since
 there might be several different points that could establish infeasibility.
      repeated .operations_research.pdlp.InfeasibilityInformation infeasibility_information = 3;

    • addInfeasibilityInformation

      public 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). This field is repeated since
 there might be several different points that could establish infeasibility.
      repeated .operations_research.pdlp.InfeasibilityInformation infeasibility_information = 3;

    • addInfeasibilityInformation

      public 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). This field is repeated since
 there might be several different points that could establish infeasibility.
      repeated .operations_research.pdlp.InfeasibilityInformation infeasibility_information = 3;

    • addAllInfeasibilityInformation

      public SolveLogOuterClass.IterationStats.Builder addAllInfeasibilityInformation(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). This field is repeated since
 there might be several different points that could establish infeasibility.
      repeated .operations_research.pdlp.InfeasibilityInformation infeasibility_information = 3;

    • clearInfeasibilityInformation

      public 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). This field is repeated since
 there might be several different points that could establish infeasibility.
      repeated .operations_research.pdlp.InfeasibilityInformation infeasibility_information = 3;

    • removeInfeasibilityInformation

      public 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). This field is repeated since
 there might be several different points that could establish infeasibility.
      repeated .operations_research.pdlp.InfeasibilityInformation infeasibility_information = 3;

    • getInfeasibilityInformationBuilder

      public SolveLogOuterClass.InfeasibilityInformation.Builder getInfeasibilityInformationBuilder(int index)
       A set of statistics measuring how close a point is to establishing primal
 or dual infeasibility (i.e., has no solution). This field is repeated since
 there might be several different points that could establish infeasibility.
      repeated .operations_research.pdlp.InfeasibilityInformation infeasibility_information = 3;

    • getInfeasibilityInformationOrBuilder

      public SolveLogOuterClass.InfeasibilityInformationOrBuilder getInfeasibilityInformationOrBuilder(int index)
       A set of statistics measuring how close a point is to establishing primal
 or dual infeasibility (i.e., has no solution). This field is repeated since
 there might be several different points that could establish infeasibility.
      repeated .operations_research.pdlp.InfeasibilityInformation infeasibility_information = 3;
      Specified by:
      getInfeasibilityInformationOrBuilder in interface SolveLogOuterClass.IterationStatsOrBuilder

    • getInfeasibilityInformationOrBuilderList

      public List<? extends SolveLogOuterClass.InfeasibilityInformationOrBuilder> getInfeasibilityInformationOrBuilderList()
       A set of statistics measuring how close a point is to establishing primal
 or dual infeasibility (i.e., has no solution). This field is repeated since
 there might be several different points that could establish infeasibility.
      repeated .operations_research.pdlp.InfeasibilityInformation infeasibility_information = 3;
      Specified by:
      getInfeasibilityInformationOrBuilderList in interface SolveLogOuterClass.IterationStatsOrBuilder

    • addInfeasibilityInformationBuilder

      public SolveLogOuterClass.InfeasibilityInformation.Builder addInfeasibilityInformationBuilder()
       A set of statistics measuring how close a point is to establishing primal
 or dual infeasibility (i.e., has no solution). This field is repeated since
 there might be several different points that could establish infeasibility.
      repeated .operations_research.pdlp.InfeasibilityInformation infeasibility_information = 3;

    • addInfeasibilityInformationBuilder

      public SolveLogOuterClass.InfeasibilityInformation.Builder addInfeasibilityInformationBuilder(int index)
       A set of statistics measuring how close a point is to establishing primal
 or dual infeasibility (i.e., has no solution). This field is repeated since
 there might be several different points that could establish infeasibility.
      repeated .operations_research.pdlp.InfeasibilityInformation infeasibility_information = 3;

    • getInfeasibilityInformationBuilderList

      public List<SolveLogOuterClass.InfeasibilityInformation.Builder> getInfeasibilityInformationBuilderList()
       A set of statistics measuring how close a point is to establishing primal
 or dual infeasibility (i.e., has no solution). This field is repeated since
 there might be several different points that could establish infeasibility.
      repeated .operations_research.pdlp.InfeasibilityInformation infeasibility_information = 3;

    • getPointMetadataList

      public List<SolveLogOuterClass.PointMetadata> getPointMetadataList()
       Auxiliary statistics for each type of point.
      repeated .operations_research.pdlp.PointMetadata point_metadata = 11;
      Specified by:
      getPointMetadataList in interface SolveLogOuterClass.IterationStatsOrBuilder

    • getPointMetadataCount

      public int getPointMetadataCount()
       Auxiliary statistics for each type of point.
      repeated .operations_research.pdlp.PointMetadata point_metadata = 11;
      Specified by:
      getPointMetadataCount in interface SolveLogOuterClass.IterationStatsOrBuilder

    • getPointMetadata

      public SolveLogOuterClass.PointMetadata getPointMetadata(int index)
       Auxiliary statistics for each type of point.
      repeated .operations_research.pdlp.PointMetadata point_metadata = 11;
      Specified by:
      getPointMetadata in interface SolveLogOuterClass.IterationStatsOrBuilder

    • setPointMetadata

      public SolveLogOuterClass.IterationStats.Builder setPointMetadata(int index, SolveLogOuterClass.PointMetadata value)
       Auxiliary statistics for each type of point.
      repeated .operations_research.pdlp.PointMetadata point_metadata = 11;

    • setPointMetadata

      public SolveLogOuterClass.IterationStats.Builder setPointMetadata(int index, SolveLogOuterClass.PointMetadata.Builder builderForValue)
       Auxiliary statistics for each type of point.
      repeated .operations_research.pdlp.PointMetadata point_metadata = 11;

    • addPointMetadata

      public SolveLogOuterClass.IterationStats.Builder addPointMetadata(SolveLogOuterClass.PointMetadata value)
       Auxiliary statistics for each type of point.
      repeated .operations_research.pdlp.PointMetadata point_metadata = 11;

    • addPointMetadata

      public SolveLogOuterClass.IterationStats.Builder addPointMetadata(int index, SolveLogOuterClass.PointMetadata value)
       Auxiliary statistics for each type of point.
      repeated .operations_research.pdlp.PointMetadata point_metadata = 11;

    • addPointMetadata

      public SolveLogOuterClass.IterationStats.Builder addPointMetadata(SolveLogOuterClass.PointMetadata.Builder builderForValue)
       Auxiliary statistics for each type of point.
      repeated .operations_research.pdlp.PointMetadata point_metadata = 11;

    • addPointMetadata

      public SolveLogOuterClass.IterationStats.Builder addPointMetadata(int index, SolveLogOuterClass.PointMetadata.Builder builderForValue)
       Auxiliary statistics for each type of point.
      repeated .operations_research.pdlp.PointMetadata point_metadata = 11;

    • addAllPointMetadata

      public SolveLogOuterClass.IterationStats.Builder addAllPointMetadata(Iterable<? extends SolveLogOuterClass.PointMetadata> values)
       Auxiliary statistics for each type of point.
      repeated .operations_research.pdlp.PointMetadata point_metadata = 11;

    • clearPointMetadata

      public SolveLogOuterClass.IterationStats.Builder clearPointMetadata()
       Auxiliary statistics for each type of point.
      repeated .operations_research.pdlp.PointMetadata point_metadata = 11;

    • removePointMetadata

      public SolveLogOuterClass.IterationStats.Builder removePointMetadata(int index)
       Auxiliary statistics for each type of point.
      repeated .operations_research.pdlp.PointMetadata point_metadata = 11;

    • getPointMetadataBuilder

      public SolveLogOuterClass.PointMetadata.Builder getPointMetadataBuilder(int index)
       Auxiliary statistics for each type of point.
      repeated .operations_research.pdlp.PointMetadata point_metadata = 11;

    • getPointMetadataOrBuilder

      public SolveLogOuterClass.PointMetadataOrBuilder getPointMetadataOrBuilder(int index)
       Auxiliary statistics for each type of point.
      repeated .operations_research.pdlp.PointMetadata point_metadata = 11;
      Specified by:
      getPointMetadataOrBuilder in interface SolveLogOuterClass.IterationStatsOrBuilder

    • getPointMetadataOrBuilderList

      public List<? extends SolveLogOuterClass.PointMetadataOrBuilder> getPointMetadataOrBuilderList()
       Auxiliary statistics for each type of point.
      repeated .operations_research.pdlp.PointMetadata point_metadata = 11;
      Specified by:
      getPointMetadataOrBuilderList in interface SolveLogOuterClass.IterationStatsOrBuilder

    • addPointMetadataBuilder

      public SolveLogOuterClass.PointMetadata.Builder addPointMetadataBuilder()
       Auxiliary statistics for each type of point.
      repeated .operations_research.pdlp.PointMetadata point_metadata = 11;

    • addPointMetadataBuilder

      public SolveLogOuterClass.PointMetadata.Builder addPointMetadataBuilder(int index)
       Auxiliary statistics for each type of point.
      repeated .operations_research.pdlp.PointMetadata point_metadata = 11;

    • getPointMetadataBuilderList

      public List<SolveLogOuterClass.PointMetadata.Builder> getPointMetadataBuilderList()
       Auxiliary statistics for each type of point.
      repeated .operations_research.pdlp.PointMetadata point_metadata = 11;

    • hasCumulativeKktMatrixPasses

      public boolean hasCumulativeKktMatrixPasses()
       The cumulative number of passes through the KKT matrix since the start of
 the solve. One pass is a multply by the constraint matrix, its transpose
 and the matrix that defines the quadratic part of the objective.

 For example, each iteration of mirror saddle prox contributes 2.0 to this
 sum. This is a float because it can include fractional passes through the
 data. For example, in an active set method we may only use a submatrix with
 20% of the nonzeros of the KKT matrix at each iteration in which case 0.2
 would be added to the total.
      optional double cumulative_kkt_matrix_passes = 4;
      Specified by:
      hasCumulativeKktMatrixPasses in interface SolveLogOuterClass.IterationStatsOrBuilder
      Returns:
      Whether the cumulativeKktMatrixPasses field is set.

    • getCumulativeKktMatrixPasses

      public double getCumulativeKktMatrixPasses()
       The cumulative number of passes through the KKT matrix since the start of
 the solve. One pass is a multply by the constraint matrix, its transpose
 and the matrix that defines the quadratic part of the objective.

 For example, each iteration of mirror saddle prox contributes 2.0 to this
 sum. This is a float because it can include fractional passes through the
 data. For example, in an active set method we may only use a submatrix with
 20% of the nonzeros of the KKT matrix at each iteration in which case 0.2
 would be added to the total.
      optional double cumulative_kkt_matrix_passes = 4;
      Specified by:
      getCumulativeKktMatrixPasses in interface SolveLogOuterClass.IterationStatsOrBuilder
      Returns:
      The cumulativeKktMatrixPasses.

    • setCumulativeKktMatrixPasses

      public SolveLogOuterClass.IterationStats.Builder setCumulativeKktMatrixPasses(double value)
       The cumulative number of passes through the KKT matrix since the start of
 the solve. One pass is a multply by the constraint matrix, its transpose
 and the matrix that defines the quadratic part of the objective.

 For example, each iteration of mirror saddle prox contributes 2.0 to this
 sum. This is a float because it can include fractional passes through the
 data. For example, in an active set method we may only use a submatrix with
 20% of the nonzeros of the KKT matrix at each iteration in which case 0.2
 would be added to the total.
      optional double cumulative_kkt_matrix_passes = 4;
      Parameters:
      value - The cumulativeKktMatrixPasses to set.
      Returns:
      This builder for chaining.

    • clearCumulativeKktMatrixPasses

      public SolveLogOuterClass.IterationStats.Builder clearCumulativeKktMatrixPasses()
       The cumulative number of passes through the KKT matrix since the start of
 the solve. One pass is a multply by the constraint matrix, its transpose
 and the matrix that defines the quadratic part of the objective.

 For example, each iteration of mirror saddle prox contributes 2.0 to this
 sum. This is a float because it can include fractional passes through the
 data. For example, in an active set method we may only use a submatrix with
 20% of the nonzeros of the KKT matrix at each iteration in which case 0.2
 would be added to the total.
      optional double cumulative_kkt_matrix_passes = 4;
      Returns:
      This builder for chaining.

    • hasCumulativeRejectedSteps

      public boolean hasCumulativeRejectedSteps()
       The total number of rejected steps (e.g., within a line search procedure)
 since the start of the solve.
      optional int32 cumulative_rejected_steps = 5;
      Specified by:
      hasCumulativeRejectedSteps in interface SolveLogOuterClass.IterationStatsOrBuilder
      Returns:
      Whether the cumulativeRejectedSteps field is set.

    • getCumulativeRejectedSteps

      public int getCumulativeRejectedSteps()
       The total number of rejected steps (e.g., within a line search procedure)
 since the start of the solve.
      optional int32 cumulative_rejected_steps = 5;
      Specified by:
      getCumulativeRejectedSteps in interface SolveLogOuterClass.IterationStatsOrBuilder
      Returns:
      The cumulativeRejectedSteps.

    • setCumulativeRejectedSteps

      public 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.
      optional int32 cumulative_rejected_steps = 5;
      Parameters:
      value - The cumulativeRejectedSteps to set.
      Returns:
      This builder for chaining.

    • clearCumulativeRejectedSteps

      public SolveLogOuterClass.IterationStats.Builder clearCumulativeRejectedSteps()
       The total number of rejected steps (e.g., within a line search procedure)
 since the start of the solve.
      optional int32 cumulative_rejected_steps = 5;
      Returns:
      This builder for chaining.

    • hasCumulativeTimeSec

      public boolean hasCumulativeTimeSec()
       The amount of time passed since we started solving the problem (see solver
 log `solve_time_sec` which records total time).
      optional double cumulative_time_sec = 6;
      Specified by:
      hasCumulativeTimeSec in interface SolveLogOuterClass.IterationStatsOrBuilder
      Returns:
      Whether the cumulativeTimeSec field is set.

    • getCumulativeTimeSec

      public double getCumulativeTimeSec()
       The amount of time passed since we started solving the problem (see solver
 log `solve_time_sec` which records total time).
      optional double cumulative_time_sec = 6;
      Specified by:
      getCumulativeTimeSec in interface SolveLogOuterClass.IterationStatsOrBuilder
      Returns:
      The cumulativeTimeSec.

    • setCumulativeTimeSec

      public 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).
      optional double cumulative_time_sec = 6;
      Parameters:
      value - The cumulativeTimeSec to set.
      Returns:
      This builder for chaining.

    • clearCumulativeTimeSec

      public 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).
      optional double cumulative_time_sec = 6;
      Returns:
      This builder for chaining.

    • hasRestartUsed

      public boolean hasRestartUsed()
       The kind of restart that occurred at this iteration, or NO_RESTART if a
 restart did not occur.
      optional .operations_research.pdlp.RestartChoice restart_used = 7;
      Specified by:
      hasRestartUsed in interface SolveLogOuterClass.IterationStatsOrBuilder
      Returns:
      Whether the restartUsed field is set.

    • getRestartUsed

      public SolveLogOuterClass.RestartChoice getRestartUsed()
       The kind of restart that occurred at this iteration, or NO_RESTART if a
 restart did not occur.
      optional .operations_research.pdlp.RestartChoice restart_used = 7;
      Specified by:
      getRestartUsed in interface SolveLogOuterClass.IterationStatsOrBuilder
      Returns:
      The restartUsed.

    • setRestartUsed

      public 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.
      optional .operations_research.pdlp.RestartChoice restart_used = 7;
      Parameters:
      value - The restartUsed to set.
      Returns:
      This builder for chaining.

    • clearRestartUsed

      public SolveLogOuterClass.IterationStats.Builder clearRestartUsed()
       The kind of restart that occurred at this iteration, or NO_RESTART if a
 restart did not occur.
      optional .operations_research.pdlp.RestartChoice restart_used = 7;
      Returns:
      This builder for chaining.

    • hasStepSize

      public boolean hasStepSize()
       Step size used at this iteration. Note that the step size used for the
 primal update is step_size / primal_weight, while the one used for the dual
 update is step_size * primal_weight.
      optional double step_size = 8;
      Specified by:
      hasStepSize in interface SolveLogOuterClass.IterationStatsOrBuilder
      Returns:
      Whether the stepSize field is set.

    • getStepSize

      public double getStepSize()
       Step size used at this iteration. Note that the step size used for the
 primal update is step_size / primal_weight, while the one used for the dual
 update is step_size * primal_weight.
      optional double step_size = 8;
      Specified by:
      getStepSize in interface SolveLogOuterClass.IterationStatsOrBuilder
      Returns:
      The stepSize.

    • setStepSize

      public SolveLogOuterClass.IterationStats.Builder setStepSize(double value)
       Step size used at this iteration. Note that the step size used for the
 primal update is step_size / primal_weight, while the one used for the dual
 update is step_size * primal_weight.
      optional double step_size = 8;
      Parameters:
      value - The stepSize to set.
      Returns:
      This builder for chaining.

    • clearStepSize

      public SolveLogOuterClass.IterationStats.Builder clearStepSize()
       Step size used at this iteration. Note that the step size used for the
 primal update is step_size / primal_weight, while the one used for the dual
 update is step_size * primal_weight.
      optional double step_size = 8;
      Returns:
      This builder for chaining.

    • hasPrimalWeight

      public boolean hasPrimalWeight()
       Primal weight controlling the relation between primal and dual step sizes.
 See field 'step_size' for a detailed description.
      optional double primal_weight = 9;
      Specified by:
      hasPrimalWeight in interface SolveLogOuterClass.IterationStatsOrBuilder
      Returns:
      Whether the primalWeight field is set.

    • getPrimalWeight

      public double getPrimalWeight()
       Primal weight controlling the relation between primal and dual step sizes.
 See field 'step_size' for a detailed description.
      optional double primal_weight = 9;
      Specified by:
      getPrimalWeight in interface SolveLogOuterClass.IterationStatsOrBuilder
      Returns:
      The primalWeight.

    • setPrimalWeight

      public SolveLogOuterClass.IterationStats.Builder setPrimalWeight(double value)
       Primal weight controlling the relation between primal and dual step sizes.
 See field 'step_size' for a detailed description.
      optional double primal_weight = 9;
      Parameters:
      value - The primalWeight to set.
      Returns:
      This builder for chaining.

    • clearPrimalWeight

      public SolveLogOuterClass.IterationStats.Builder clearPrimalWeight()
       Primal weight controlling the relation between primal and dual step sizes.
 See field 'step_size' for a detailed description.
      optional double primal_weight = 9;
      Returns:
      This builder for chaining.

    • setUnknownFields

      public final SolveLogOuterClass.IterationStats.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
      Specified by:
      setUnknownFields in interface com.google.protobuf.Message.Builder
      Overrides:
      setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<SolveLogOuterClass.IterationStats.Builder>

    • mergeUnknownFields

      public final SolveLogOuterClass.IterationStats.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
      Specified by:
      mergeUnknownFields in interface com.google.protobuf.Message.Builder
      Overrides:
      mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<SolveLogOuterClass.IterationStats.Builder>