Protobuf enum operations_research.pdlp.OptimalityNorm
Definition at line 12 of file OptimalityNorm.java.
◆ [static initializer]()
| com.google.ortools.pdlp.OptimalityNorm.[static initializer] |
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◆ forNumber()
| OptimalityNorm com.google.ortools.pdlp.OptimalityNorm.forNumber |
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int | value | ) |
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- Parameters
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| value | The numeric wire value of the corresponding enum entry. |
- Returns
- The enum associated with the given numeric wire value.
Definition at line 121 of file OptimalityNorm.java.
◆ getDescriptor()
| com.google.protobuf.Descriptors.EnumDescriptor com.google.ortools.pdlp.OptimalityNorm.getDescriptor |
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◆ getDescriptorForType()
| final com.google.protobuf.Descriptors.EnumDescriptor com.google.ortools.pdlp.OptimalityNorm.getDescriptorForType |
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◆ getNumber()
| final int com.google.ortools.pdlp.OptimalityNorm.getNumber |
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◆ getValueDescriptor()
| final com.google.protobuf.Descriptors.EnumValueDescriptor com.google.ortools.pdlp.OptimalityNorm.getValueDescriptor |
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◆ internalGetValueMap()
| com.google.protobuf.Internal.EnumLiteMap< OptimalityNorm > com.google.ortools.pdlp.OptimalityNorm.internalGetValueMap |
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◆ valueOf() [1/2]
| OptimalityNorm com.google.ortools.pdlp.OptimalityNorm.valueOf |
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com.google.protobuf.Descriptors.EnumValueDescriptor | desc | ) |
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◆ valueOf() [2/2]
| OptimalityNorm com.google.ortools.pdlp.OptimalityNorm.valueOf |
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int | value | ) |
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◆ OPTIMALITY_NORM_L2
| com.google.ortools.pdlp.OptimalityNorm.OPTIMALITY_NORM_L2 =(2) |
◆ OPTIMALITY_NORM_L2_VALUE
| final int com.google.ortools.pdlp.OptimalityNorm.OPTIMALITY_NORM_L2_VALUE = 2 |
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◆ OPTIMALITY_NORM_L_INF
| com.google.ortools.pdlp.OptimalityNorm.OPTIMALITY_NORM_L_INF =(1) |
◆ OPTIMALITY_NORM_L_INF_COMPONENTWISE
| com.google.ortools.pdlp.OptimalityNorm.OPTIMALITY_NORM_L_INF_COMPONENTWISE =(3) |
The infinity norm of component-wise relative errors offset by the ratio of
the absolute and relative error tolerances, i.e., the l_∞ norm of
[residual / (eps_ratio + |bound|)], where eps_ratio =
eps_optimal_{X}_residual_absolute / eps_optimal_{X}_residual_relative
where {X} is either primal or dual, and bound is the corresponding primal
or dual bound (that is, the violated constraint bound for primal residuals,
and the objective coefficient for dual residuals).
Using eps_ratio in this norm means that if the norm is <=
eps_optimal_{X}_residual_relative, then the residuals satisfy
residual <= eps_optimal_{X}_residual_absolute
+ eps_optimal_{X}_residual_relative * |bound|
OPTIMALITY_NORM_L_INF_COMPONENTWISE = 3;
Definition at line 51 of file OptimalityNorm.java.
◆ OPTIMALITY_NORM_L_INF_COMPONENTWISE_VALUE
| final int com.google.ortools.pdlp.OptimalityNorm.OPTIMALITY_NORM_L_INF_COMPONENTWISE_VALUE = 3 |
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The infinity norm of component-wise relative errors offset by the ratio of
the absolute and relative error tolerances, i.e., the l_∞ norm of
[residual / (eps_ratio + |bound|)], where eps_ratio =
eps_optimal_{X}_residual_absolute / eps_optimal_{X}_residual_relative
where {X} is either primal or dual, and bound is the corresponding primal
or dual bound (that is, the violated constraint bound for primal residuals,
and the objective coefficient for dual residuals).
Using eps_ratio in this norm means that if the norm is <=
eps_optimal_{X}_residual_relative, then the residuals satisfy
residual <= eps_optimal_{X}_residual_absolute
+ eps_optimal_{X}_residual_relative * |bound|
OPTIMALITY_NORM_L_INF_COMPONENTWISE = 3;
Definition at line 100 of file OptimalityNorm.java.
◆ OPTIMALITY_NORM_L_INF_VALUE
| final int com.google.ortools.pdlp.OptimalityNorm.OPTIMALITY_NORM_L_INF_VALUE = 1 |
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◆ OPTIMALITY_NORM_UNSPECIFIED
| com.google.ortools.pdlp.OptimalityNorm.OPTIMALITY_NORM_UNSPECIFIED =(0) |
◆ OPTIMALITY_NORM_UNSPECIFIED_VALUE
| final int com.google.ortools.pdlp.OptimalityNorm.OPTIMALITY_NORM_UNSPECIFIED_VALUE = 0 |
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The documentation for this enum was generated from the following file:
1.14.0