Interface TerminationCriteriaOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
TerminationCriteria, TerminationCriteria.Builder
@Generated public interface TerminationCriteriaOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Summary

    Modifier and Type
    Method
    Description
    TerminationCriteria.DetailedOptimalityCriteria
    getDetailedOptimalityCriteria()
    .operations_research.pdlp.TerminationCriteria.DetailedOptimalityCriteria detailed_optimality_criteria = 10;
    TerminationCriteria.DetailedOptimalityCriteriaOrBuilder
    getDetailedOptimalityCriteriaOrBuilder()
    .operations_research.pdlp.TerminationCriteria.DetailedOptimalityCriteria detailed_optimality_criteria = 10;
    double
    getEpsDualInfeasible()
    If the following three conditions hold we say we have obtained an approximate primal ray, which is an approximate certificate of dual infeasibility
    double
    getEpsOptimalAbsolute()
    Deprecated.
    operations_research.pdlp.TerminationCriteria.eps_optimal_absolute is deprecated.
    double
    getEpsOptimalRelative()
    Deprecated.
    operations_research.pdlp.TerminationCriteria.eps_optimal_relative is deprecated.
    double
    getEpsPrimalInfeasible()
    If the following two conditions hold we say that we have obtained an approximate dual ray, which is an approximate certificate of primal infeasibility
    int
    getIterationLimit()
    If termination_reason = TERMINATION_REASON_ITERATION_LIMIT then the solver has taken at least iterations_limit iterations.
    double
    getKktMatrixPassLimit()
    If termination_reason = TERMINATION_REASON_KKT_MATRIX_PASS_LIMIT then cumulative_kkt_matrix_passes is at least kkt_pass_limit.
    TerminationCriteria.OptimalityCriteriaCase
    getOptimalityCriteriaCase()
     
    OptimalityNorm
    getOptimalityNorm()
    The norm that we are measuring the optimality criteria in.
    TerminationCriteria.SimpleOptimalityCriteria
    getSimpleOptimalityCriteria()
    .operations_research.pdlp.TerminationCriteria.SimpleOptimalityCriteria simple_optimality_criteria = 9;
    TerminationCriteria.SimpleOptimalityCriteriaOrBuilder
    getSimpleOptimalityCriteriaOrBuilder()
    .operations_research.pdlp.TerminationCriteria.SimpleOptimalityCriteria simple_optimality_criteria = 9;
    double
    getTimeSecLimit()
    If termination_reason = TERMINATION_REASON_TIME_LIMIT then the solver has taken at least time_sec_limit time.
    boolean
    hasDetailedOptimalityCriteria()
    .operations_research.pdlp.TerminationCriteria.DetailedOptimalityCriteria detailed_optimality_criteria = 10;
    boolean
    hasEpsDualInfeasible()
    If the following three conditions hold we say we have obtained an approximate primal ray, which is an approximate certificate of dual infeasibility
    boolean
    hasEpsOptimalAbsolute()
    Deprecated.
    operations_research.pdlp.TerminationCriteria.eps_optimal_absolute is deprecated.
    boolean
    hasEpsOptimalRelative()
    Deprecated.
    operations_research.pdlp.TerminationCriteria.eps_optimal_relative is deprecated.
    boolean
    hasEpsPrimalInfeasible()
    If the following two conditions hold we say that we have obtained an approximate dual ray, which is an approximate certificate of primal infeasibility
    boolean
    hasIterationLimit()
    If termination_reason = TERMINATION_REASON_ITERATION_LIMIT then the solver has taken at least iterations_limit iterations.
    boolean
    hasKktMatrixPassLimit()
    If termination_reason = TERMINATION_REASON_KKT_MATRIX_PASS_LIMIT then cumulative_kkt_matrix_passes is at least kkt_pass_limit.
    boolean
    hasOptimalityNorm()
    The norm that we are measuring the optimality criteria in.
    boolean
    hasSimpleOptimalityCriteria()
    .operations_research.pdlp.TerminationCriteria.SimpleOptimalityCriteria simple_optimality_criteria = 9;
    boolean
    hasTimeSecLimit()
    If termination_reason = TERMINATION_REASON_TIME_LIMIT then the solver has taken at least time_sec_limit time.

    Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

    isInitialized

    Methods inherited from interface com.google.protobuf.MessageOrBuilder

    findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

  • Method Details

    • hasOptimalityNorm

      boolean hasOptimalityNorm()
       The norm that we are measuring the optimality criteria in.
      optional .operations_research.pdlp.OptimalityNorm optimality_norm = 1 [default = OPTIMALITY_NORM_L2];
      Returns:
      Whether the optimalityNorm field is set.

    • getOptimalityNorm

      OptimalityNorm getOptimalityNorm()
       The norm that we are measuring the optimality criteria in.
      optional .operations_research.pdlp.OptimalityNorm optimality_norm = 1 [default = OPTIMALITY_NORM_L2];
      Returns:
      The optimalityNorm.

    • hasSimpleOptimalityCriteria

      boolean hasSimpleOptimalityCriteria()
      .operations_research.pdlp.TerminationCriteria.SimpleOptimalityCriteria simple_optimality_criteria = 9;
      Returns:
      Whether the simpleOptimalityCriteria field is set.

    • getSimpleOptimalityCriteria

      TerminationCriteria.SimpleOptimalityCriteria getSimpleOptimalityCriteria()
      .operations_research.pdlp.TerminationCriteria.SimpleOptimalityCriteria simple_optimality_criteria = 9;
      Returns:
      The simpleOptimalityCriteria.

    • getSimpleOptimalityCriteriaOrBuilder

      TerminationCriteria.SimpleOptimalityCriteriaOrBuilder getSimpleOptimalityCriteriaOrBuilder()
      .operations_research.pdlp.TerminationCriteria.SimpleOptimalityCriteria simple_optimality_criteria = 9;

    • hasDetailedOptimalityCriteria

      boolean hasDetailedOptimalityCriteria()
      .operations_research.pdlp.TerminationCriteria.DetailedOptimalityCriteria detailed_optimality_criteria = 10;
      Returns:
      Whether the detailedOptimalityCriteria field is set.

    • getDetailedOptimalityCriteria

      TerminationCriteria.DetailedOptimalityCriteria getDetailedOptimalityCriteria()
      .operations_research.pdlp.TerminationCriteria.DetailedOptimalityCriteria detailed_optimality_criteria = 10;
      Returns:
      The detailedOptimalityCriteria.

    • getDetailedOptimalityCriteriaOrBuilder

      TerminationCriteria.DetailedOptimalityCriteriaOrBuilder getDetailedOptimalityCriteriaOrBuilder()
      .operations_research.pdlp.TerminationCriteria.DetailedOptimalityCriteria detailed_optimality_criteria = 10;

    • hasEpsOptimalAbsolute

      @Deprecated boolean hasEpsOptimalAbsolute()
      Deprecated.
      operations_research.pdlp.TerminationCriteria.eps_optimal_absolute is deprecated. See ortools/pdlp/solvers.proto;l=147
       Absolute tolerance on primal residual, dual residual, and the objective
 gap.
 Deprecated, use simple_optimality_criteria instead.
 TODO(b/241462829) delete this deprecated field.
      optional double eps_optimal_absolute = 2 [default = 1e-06, deprecated = true];
      Returns:
      Whether the epsOptimalAbsolute field is set.

    • getEpsOptimalAbsolute

      @Deprecated double getEpsOptimalAbsolute()
      Deprecated.
      operations_research.pdlp.TerminationCriteria.eps_optimal_absolute is deprecated. See ortools/pdlp/solvers.proto;l=147
       Absolute tolerance on primal residual, dual residual, and the objective
 gap.
 Deprecated, use simple_optimality_criteria instead.
 TODO(b/241462829) delete this deprecated field.
      optional double eps_optimal_absolute = 2 [default = 1e-06, deprecated = true];
      Returns:
      The epsOptimalAbsolute.

    • hasEpsOptimalRelative

      @Deprecated boolean hasEpsOptimalRelative()
      Deprecated.
      operations_research.pdlp.TerminationCriteria.eps_optimal_relative is deprecated. See ortools/pdlp/solvers.proto;l=154
       Relative tolerance on primal residual, dual residual, and the objective
 gap.
 Deprecated, use simple_optimality_criteria instead.
 TODO(b/241462829) delete this deprecated field.
      optional double eps_optimal_relative = 3 [default = 1e-06, deprecated = true];
      Returns:
      Whether the epsOptimalRelative field is set.

    • getEpsOptimalRelative

      @Deprecated double getEpsOptimalRelative()
      Deprecated.
      operations_research.pdlp.TerminationCriteria.eps_optimal_relative is deprecated. See ortools/pdlp/solvers.proto;l=154
       Relative tolerance on primal residual, dual residual, and the objective
 gap.
 Deprecated, use simple_optimality_criteria instead.
 TODO(b/241462829) delete this deprecated field.
      optional double eps_optimal_relative = 3 [default = 1e-06, deprecated = true];
      Returns:
      The epsOptimalRelative.

    • hasEpsPrimalInfeasible

      boolean hasEpsPrimalInfeasible()
       If the following two conditions hold we say that we have obtained an
 approximate dual ray, which is an approximate certificate of primal
 infeasibility.
 (1) dual_ray_objective > 0,
 (2) max_dual_ray_infeasibility / dual_ray_objective <=
 eps_primal_infeasible.
      optional double eps_primal_infeasible = 4 [default = 1e-08];
      Returns:
      Whether the epsPrimalInfeasible field is set.

    • getEpsPrimalInfeasible

      double getEpsPrimalInfeasible()
       If the following two conditions hold we say that we have obtained an
 approximate dual ray, which is an approximate certificate of primal
 infeasibility.
 (1) dual_ray_objective > 0,
 (2) max_dual_ray_infeasibility / dual_ray_objective <=
 eps_primal_infeasible.
      optional double eps_primal_infeasible = 4 [default = 1e-08];
      Returns:
      The epsPrimalInfeasible.

    • hasEpsDualInfeasible

      boolean hasEpsDualInfeasible()
       If the following three conditions hold we say we have obtained an
 approximate primal ray, which is an approximate certificate of dual
 infeasibility.
 (1) primal_ray_linear_objective < 0,
 (2) max_primal_ray_infeasibility / (-primal_ray_linear_objective) <=
 eps_dual_infeasible
 (3) primal_ray_quadratic_norm / (-primal_ray_linear_objective) <=
 eps_dual_infeasible.
      optional double eps_dual_infeasible = 5 [default = 1e-08];
      Returns:
      Whether the epsDualInfeasible field is set.

    • getEpsDualInfeasible

      double getEpsDualInfeasible()
       If the following three conditions hold we say we have obtained an
 approximate primal ray, which is an approximate certificate of dual
 infeasibility.
 (1) primal_ray_linear_objective < 0,
 (2) max_primal_ray_infeasibility / (-primal_ray_linear_objective) <=
 eps_dual_infeasible
 (3) primal_ray_quadratic_norm / (-primal_ray_linear_objective) <=
 eps_dual_infeasible.
      optional double eps_dual_infeasible = 5 [default = 1e-08];
      Returns:
      The epsDualInfeasible.

    • hasTimeSecLimit

      boolean hasTimeSecLimit()
       If termination_reason = TERMINATION_REASON_TIME_LIMIT then the solver has
 taken at least time_sec_limit time.
      optional double time_sec_limit = 6 [default = inf];
      Returns:
      Whether the timeSecLimit field is set.

    • getTimeSecLimit

      double getTimeSecLimit()
       If termination_reason = TERMINATION_REASON_TIME_LIMIT then the solver has
 taken at least time_sec_limit time.
      optional double time_sec_limit = 6 [default = inf];
      Returns:
      The timeSecLimit.

    • hasIterationLimit

      boolean hasIterationLimit()
       If termination_reason = TERMINATION_REASON_ITERATION_LIMIT then the solver
 has taken at least iterations_limit iterations.
      optional int32 iteration_limit = 7 [default = 2147483647];
      Returns:
      Whether the iterationLimit field is set.

    • getIterationLimit

      int getIterationLimit()
       If termination_reason = TERMINATION_REASON_ITERATION_LIMIT then the solver
 has taken at least iterations_limit iterations.
      optional int32 iteration_limit = 7 [default = 2147483647];
      Returns:
      The iterationLimit.

    • hasKktMatrixPassLimit

      boolean hasKktMatrixPassLimit()
       If termination_reason = TERMINATION_REASON_KKT_MATRIX_PASS_LIMIT then
 cumulative_kkt_matrix_passes is at least kkt_pass_limit.
      optional double kkt_matrix_pass_limit = 8 [default = inf];
      Returns:
      Whether the kktMatrixPassLimit field is set.

    • getKktMatrixPassLimit

      double getKktMatrixPassLimit()
       If termination_reason = TERMINATION_REASON_KKT_MATRIX_PASS_LIMIT then
 cumulative_kkt_matrix_passes is at least kkt_pass_limit.
      optional double kkt_matrix_pass_limit = 8 [default = inf];
      Returns:
      The kktMatrixPassLimit.

    • getOptimalityCriteriaCase

      TerminationCriteria.OptimalityCriteriaCase getOptimalityCriteriaCase()