Package operations_research.pdlp

Class SolveLogOuterClass.InfeasibilityInformation.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessageV3.Builder<SolveLogOuterClass.InfeasibilityInformation.Builder>
operations_research.pdlp.SolveLogOuterClass.InfeasibilityInformation.Builder
All Implemented Interfaces:
com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable, SolveLogOuterClass.InfeasibilityInformationOrBuilder
Enclosing class:
SolveLogOuterClass.InfeasibilityInformation
public static final class SolveLogOuterClass.InfeasibilityInformation.Builder extends com.google.protobuf.GeneratedMessageV3.Builder<SolveLogOuterClass.InfeasibilityInformation.Builder> implements SolveLogOuterClass.InfeasibilityInformationOrBuilder
 Information measuring how close a point is to establishing primal or dual
 infeasibility (i.e. has no solution); see also TerminationCriteria.
Protobuf type operations_research.pdlp.InfeasibilityInformation

  • 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.InfeasibilityInformation.Builder>

    • clear

      public SolveLogOuterClass.InfeasibilityInformation.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.InfeasibilityInformation.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.InfeasibilityInformation.Builder>

    • getDefaultInstanceForType

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

    • build

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

    • buildPartial

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

    • clone

      public SolveLogOuterClass.InfeasibilityInformation.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.InfeasibilityInformation.Builder>

    • setField

      public SolveLogOuterClass.InfeasibilityInformation.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.InfeasibilityInformation.Builder>

    • clearField

      public SolveLogOuterClass.InfeasibilityInformation.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.InfeasibilityInformation.Builder>

    • clearOneof

      public SolveLogOuterClass.InfeasibilityInformation.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.InfeasibilityInformation.Builder>

    • setRepeatedField

      public SolveLogOuterClass.InfeasibilityInformation.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.InfeasibilityInformation.Builder>

    • addRepeatedField

      public SolveLogOuterClass.InfeasibilityInformation.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.InfeasibilityInformation.Builder>

    • mergeFrom

      public SolveLogOuterClass.InfeasibilityInformation.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.InfeasibilityInformation.Builder>

    • mergeFrom

      public SolveLogOuterClass.InfeasibilityInformation.Builder mergeFrom(SolveLogOuterClass.InfeasibilityInformation 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.InfeasibilityInformation.Builder>

    • mergeFrom

      public SolveLogOuterClass.InfeasibilityInformation.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.InfeasibilityInformation.Builder>
      Throws:
      IOException

    • hasMaxPrimalRayInfeasibility

      public boolean hasMaxPrimalRayInfeasibility()
       Let x_ray be the algorithm's estimate of the primal extreme ray where x_ray
 is a vector that satisfies the sign constraints for a ray, scaled such that
 its infinity norm is one (the sign constraints are the variable bound
 constraints, with all finite bounds mapped to zero). A simple and typical
 choice of x_ray is x_ray = x / | x |_∞ where x is the current primal
 iterate projected onto the primal ray sign constraints. For this value
 compute the maximum absolute error in the primal linear program with the
 right hand side set to zero.
      optional double max_primal_ray_infeasibility = 1;
      Specified by:
      hasMaxPrimalRayInfeasibility in interface SolveLogOuterClass.InfeasibilityInformationOrBuilder
      Returns:
      Whether the maxPrimalRayInfeasibility field is set.

    • getMaxPrimalRayInfeasibility

      public double getMaxPrimalRayInfeasibility()
       Let x_ray be the algorithm's estimate of the primal extreme ray where x_ray
 is a vector that satisfies the sign constraints for a ray, scaled such that
 its infinity norm is one (the sign constraints are the variable bound
 constraints, with all finite bounds mapped to zero). A simple and typical
 choice of x_ray is x_ray = x / | x |_∞ where x is the current primal
 iterate projected onto the primal ray sign constraints. For this value
 compute the maximum absolute error in the primal linear program with the
 right hand side set to zero.
      optional double max_primal_ray_infeasibility = 1;
      Specified by:
      getMaxPrimalRayInfeasibility in interface SolveLogOuterClass.InfeasibilityInformationOrBuilder
      Returns:
      The maxPrimalRayInfeasibility.

    • setMaxPrimalRayInfeasibility

      public SolveLogOuterClass.InfeasibilityInformation.Builder setMaxPrimalRayInfeasibility(double value)
       Let x_ray be the algorithm's estimate of the primal extreme ray where x_ray
 is a vector that satisfies the sign constraints for a ray, scaled such that
 its infinity norm is one (the sign constraints are the variable bound
 constraints, with all finite bounds mapped to zero). A simple and typical
 choice of x_ray is x_ray = x / | x |_∞ where x is the current primal
 iterate projected onto the primal ray sign constraints. For this value
 compute the maximum absolute error in the primal linear program with the
 right hand side set to zero.
      optional double max_primal_ray_infeasibility = 1;
      Parameters:
      value - The maxPrimalRayInfeasibility to set.
      Returns:
      This builder for chaining.

    • clearMaxPrimalRayInfeasibility

      public SolveLogOuterClass.InfeasibilityInformation.Builder clearMaxPrimalRayInfeasibility()
       Let x_ray be the algorithm's estimate of the primal extreme ray where x_ray
 is a vector that satisfies the sign constraints for a ray, scaled such that
 its infinity norm is one (the sign constraints are the variable bound
 constraints, with all finite bounds mapped to zero). A simple and typical
 choice of x_ray is x_ray = x / | x |_∞ where x is the current primal
 iterate projected onto the primal ray sign constraints. For this value
 compute the maximum absolute error in the primal linear program with the
 right hand side set to zero.
      optional double max_primal_ray_infeasibility = 1;
      Returns:
      This builder for chaining.

    • hasPrimalRayLinearObjective

      public boolean hasPrimalRayLinearObjective()
       The value of the linear part of the primal objective (ignoring additive
 constants) evaluated at x_ray, i.e., c' * x_ray where c is the objective
 coefficient vector.
      optional double primal_ray_linear_objective = 2;
      Specified by:
      hasPrimalRayLinearObjective in interface SolveLogOuterClass.InfeasibilityInformationOrBuilder
      Returns:
      Whether the primalRayLinearObjective field is set.

    • getPrimalRayLinearObjective

      public double getPrimalRayLinearObjective()
       The value of the linear part of the primal objective (ignoring additive
 constants) evaluated at x_ray, i.e., c' * x_ray where c is the objective
 coefficient vector.
      optional double primal_ray_linear_objective = 2;
      Specified by:
      getPrimalRayLinearObjective in interface SolveLogOuterClass.InfeasibilityInformationOrBuilder
      Returns:
      The primalRayLinearObjective.

    • setPrimalRayLinearObjective

      public SolveLogOuterClass.InfeasibilityInformation.Builder setPrimalRayLinearObjective(double value)
       The value of the linear part of the primal objective (ignoring additive
 constants) evaluated at x_ray, i.e., c' * x_ray where c is the objective
 coefficient vector.
      optional double primal_ray_linear_objective = 2;
      Parameters:
      value - The primalRayLinearObjective to set.
      Returns:
      This builder for chaining.

    • clearPrimalRayLinearObjective

      public SolveLogOuterClass.InfeasibilityInformation.Builder clearPrimalRayLinearObjective()
       The value of the linear part of the primal objective (ignoring additive
 constants) evaluated at x_ray, i.e., c' * x_ray where c is the objective
 coefficient vector.
      optional double primal_ray_linear_objective = 2;
      Returns:
      This builder for chaining.

    • hasPrimalRayQuadraticNorm

      public boolean hasPrimalRayQuadraticNorm()
       The l_∞ norm of the vector resulting from taking the quadratic matrix from
 primal objective and multiplying it by the primal variables. For linear
 programming problems this is zero.
      optional double primal_ray_quadratic_norm = 3;
      Specified by:
      hasPrimalRayQuadraticNorm in interface SolveLogOuterClass.InfeasibilityInformationOrBuilder
      Returns:
      Whether the primalRayQuadraticNorm field is set.

    • getPrimalRayQuadraticNorm

      public double getPrimalRayQuadraticNorm()
       The l_∞ norm of the vector resulting from taking the quadratic matrix from
 primal objective and multiplying it by the primal variables. For linear
 programming problems this is zero.
      optional double primal_ray_quadratic_norm = 3;
      Specified by:
      getPrimalRayQuadraticNorm in interface SolveLogOuterClass.InfeasibilityInformationOrBuilder
      Returns:
      The primalRayQuadraticNorm.

    • setPrimalRayQuadraticNorm

      public SolveLogOuterClass.InfeasibilityInformation.Builder setPrimalRayQuadraticNorm(double value)
       The l_∞ norm of the vector resulting from taking the quadratic matrix from
 primal objective and multiplying it by the primal variables. For linear
 programming problems this is zero.
      optional double primal_ray_quadratic_norm = 3;
      Parameters:
      value - The primalRayQuadraticNorm to set.
      Returns:
      This builder for chaining.

    • clearPrimalRayQuadraticNorm

      public SolveLogOuterClass.InfeasibilityInformation.Builder clearPrimalRayQuadraticNorm()
       The l_∞ norm of the vector resulting from taking the quadratic matrix from
 primal objective and multiplying it by the primal variables. For linear
 programming problems this is zero.
      optional double primal_ray_quadratic_norm = 3;
      Returns:
      This builder for chaining.

    • hasMaxDualRayInfeasibility

      public boolean hasMaxDualRayInfeasibility()
       Let (y_ray, r_ray) be the algorithm's estimate of the dual and reduced cost
 extreme ray where (y_ray, r_ray) is a vector (satisfying the dual variable
 constraints) scaled such that its infinity norm is one. A simple and
 typical choice of y_ray is (y_ray, r_ray) = (y, r) / max(| y |_∞, | r |_∞)
 where y is the current dual iterate and r is the current dual reduced
 costs. Consider the quadratic program we are solving but with the objective
 (both quadratic and linear terms) set to zero. This forms a linear program
 (label this linear program (1)) with no objective. Take the dual of (1) and
 compute the maximum absolute value of the constraint error for
 (y_ray, r_ray) to obtain the value of max_dual_ray_infeasibility.
      optional double max_dual_ray_infeasibility = 4;
      Specified by:
      hasMaxDualRayInfeasibility in interface SolveLogOuterClass.InfeasibilityInformationOrBuilder
      Returns:
      Whether the maxDualRayInfeasibility field is set.

    • getMaxDualRayInfeasibility

      public double getMaxDualRayInfeasibility()
       Let (y_ray, r_ray) be the algorithm's estimate of the dual and reduced cost
 extreme ray where (y_ray, r_ray) is a vector (satisfying the dual variable
 constraints) scaled such that its infinity norm is one. A simple and
 typical choice of y_ray is (y_ray, r_ray) = (y, r) / max(| y |_∞, | r |_∞)
 where y is the current dual iterate and r is the current dual reduced
 costs. Consider the quadratic program we are solving but with the objective
 (both quadratic and linear terms) set to zero. This forms a linear program
 (label this linear program (1)) with no objective. Take the dual of (1) and
 compute the maximum absolute value of the constraint error for
 (y_ray, r_ray) to obtain the value of max_dual_ray_infeasibility.
      optional double max_dual_ray_infeasibility = 4;
      Specified by:
      getMaxDualRayInfeasibility in interface SolveLogOuterClass.InfeasibilityInformationOrBuilder
      Returns:
      The maxDualRayInfeasibility.

    • setMaxDualRayInfeasibility

      public SolveLogOuterClass.InfeasibilityInformation.Builder setMaxDualRayInfeasibility(double value)
       Let (y_ray, r_ray) be the algorithm's estimate of the dual and reduced cost
 extreme ray where (y_ray, r_ray) is a vector (satisfying the dual variable
 constraints) scaled such that its infinity norm is one. A simple and
 typical choice of y_ray is (y_ray, r_ray) = (y, r) / max(| y |_∞, | r |_∞)
 where y is the current dual iterate and r is the current dual reduced
 costs. Consider the quadratic program we are solving but with the objective
 (both quadratic and linear terms) set to zero. This forms a linear program
 (label this linear program (1)) with no objective. Take the dual of (1) and
 compute the maximum absolute value of the constraint error for
 (y_ray, r_ray) to obtain the value of max_dual_ray_infeasibility.
      optional double max_dual_ray_infeasibility = 4;
      Parameters:
      value - The maxDualRayInfeasibility to set.
      Returns:
      This builder for chaining.

    • clearMaxDualRayInfeasibility

      public SolveLogOuterClass.InfeasibilityInformation.Builder clearMaxDualRayInfeasibility()
       Let (y_ray, r_ray) be the algorithm's estimate of the dual and reduced cost
 extreme ray where (y_ray, r_ray) is a vector (satisfying the dual variable
 constraints) scaled such that its infinity norm is one. A simple and
 typical choice of y_ray is (y_ray, r_ray) = (y, r) / max(| y |_∞, | r |_∞)
 where y is the current dual iterate and r is the current dual reduced
 costs. Consider the quadratic program we are solving but with the objective
 (both quadratic and linear terms) set to zero. This forms a linear program
 (label this linear program (1)) with no objective. Take the dual of (1) and
 compute the maximum absolute value of the constraint error for
 (y_ray, r_ray) to obtain the value of max_dual_ray_infeasibility.
      optional double max_dual_ray_infeasibility = 4;
      Returns:
      This builder for chaining.

    • hasDualRayObjective

      public boolean hasDualRayObjective()
       The objective of the linear program labeled (1) in the previous paragraph.
      optional double dual_ray_objective = 5;
      Specified by:
      hasDualRayObjective in interface SolveLogOuterClass.InfeasibilityInformationOrBuilder
      Returns:
      Whether the dualRayObjective field is set.

    • getDualRayObjective

      public double getDualRayObjective()
       The objective of the linear program labeled (1) in the previous paragraph.
      optional double dual_ray_objective = 5;
      Specified by:
      getDualRayObjective in interface SolveLogOuterClass.InfeasibilityInformationOrBuilder
      Returns:
      The dualRayObjective.

    • setDualRayObjective

      public SolveLogOuterClass.InfeasibilityInformation.Builder setDualRayObjective(double value)
       The objective of the linear program labeled (1) in the previous paragraph.
      optional double dual_ray_objective = 5;
      Parameters:
      value - The dualRayObjective to set.
      Returns:
      This builder for chaining.

    • clearDualRayObjective

      public SolveLogOuterClass.InfeasibilityInformation.Builder clearDualRayObjective()
       The objective of the linear program labeled (1) in the previous paragraph.
      optional double dual_ray_objective = 5;
      Returns:
      This builder for chaining.

    • hasCandidateType

      public boolean hasCandidateType()
       Type of the point used to compute the InfeasibilityInformation.
      optional .operations_research.pdlp.PointType candidate_type = 6;
      Specified by:
      hasCandidateType in interface SolveLogOuterClass.InfeasibilityInformationOrBuilder
      Returns:
      Whether the candidateType field is set.

    • getCandidateType

      public SolveLogOuterClass.PointType getCandidateType()
       Type of the point used to compute the InfeasibilityInformation.
      optional .operations_research.pdlp.PointType candidate_type = 6;
      Specified by:
      getCandidateType in interface SolveLogOuterClass.InfeasibilityInformationOrBuilder
      Returns:
      The candidateType.

    • setCandidateType

      public SolveLogOuterClass.InfeasibilityInformation.Builder setCandidateType(SolveLogOuterClass.PointType value)
       Type of the point used to compute the InfeasibilityInformation.
      optional .operations_research.pdlp.PointType candidate_type = 6;
      Parameters:
      value - The candidateType to set.
      Returns:
      This builder for chaining.

    • clearCandidateType

      public SolveLogOuterClass.InfeasibilityInformation.Builder clearCandidateType()
       Type of the point used to compute the InfeasibilityInformation.
      optional .operations_research.pdlp.PointType candidate_type = 6;
      Returns:
      This builder for chaining.

    • setUnknownFields

      public final SolveLogOuterClass.InfeasibilityInformation.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.InfeasibilityInformation.Builder>

    • mergeUnknownFields

      public final SolveLogOuterClass.InfeasibilityInformation.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.InfeasibilityInformation.Builder>