Google OR-Tools v9.12
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Public Member Functions | Static Public Member Functions | Protected Member Functions | List of all members
com.google.ortools.pdlp.QuadraticProgramStats.Builder Class Reference
Inheritance diagram for com.google.ortools.pdlp.QuadraticProgramStats.Builder:
com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder

Public Member Functions

Builder clear ()
 
com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()
 
com.google.ortools.pdlp.QuadraticProgramStats getDefaultInstanceForType ()
 
com.google.ortools.pdlp.QuadraticProgramStats build ()
 
com.google.ortools.pdlp.QuadraticProgramStats buildPartial ()
 
Builder mergeFrom (com.google.protobuf.Message other)
 
Builder mergeFrom (com.google.ortools.pdlp.QuadraticProgramStats other)
 
final boolean isInitialized ()
 
Builder mergeFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException
 
boolean hasNumVariables ()
 
long getNumVariables ()
 
Builder setNumVariables (long value)
 
Builder clearNumVariables ()
 
boolean hasNumConstraints ()
 
long getNumConstraints ()
 
Builder setNumConstraints (long value)
 
Builder clearNumConstraints ()
 
boolean hasConstraintMatrixColMinLInfNorm ()
 
double getConstraintMatrixColMinLInfNorm ()
 
Builder setConstraintMatrixColMinLInfNorm (double value)
 
Builder clearConstraintMatrixColMinLInfNorm ()
 
boolean hasConstraintMatrixRowMinLInfNorm ()
 
double getConstraintMatrixRowMinLInfNorm ()
 
Builder setConstraintMatrixRowMinLInfNorm (double value)
 
Builder clearConstraintMatrixRowMinLInfNorm ()
 
boolean hasConstraintMatrixNumNonzeros ()
 
long getConstraintMatrixNumNonzeros ()
 
Builder setConstraintMatrixNumNonzeros (long value)
 
Builder clearConstraintMatrixNumNonzeros ()
 
boolean hasConstraintMatrixAbsMax ()
 
double getConstraintMatrixAbsMax ()
 
Builder setConstraintMatrixAbsMax (double value)
 
Builder clearConstraintMatrixAbsMax ()
 
boolean hasConstraintMatrixAbsMin ()
 
double getConstraintMatrixAbsMin ()
 
Builder setConstraintMatrixAbsMin (double value)
 
Builder clearConstraintMatrixAbsMin ()
 
boolean hasConstraintMatrixAbsAvg ()
 
double getConstraintMatrixAbsAvg ()
 
Builder setConstraintMatrixAbsAvg (double value)
 
Builder clearConstraintMatrixAbsAvg ()
 
boolean hasConstraintMatrixL2Norm ()
 
double getConstraintMatrixL2Norm ()
 
Builder setConstraintMatrixL2Norm (double value)
 
Builder clearConstraintMatrixL2Norm ()
 
boolean hasCombinedBoundsMax ()
 
double getCombinedBoundsMax ()
 
Builder setCombinedBoundsMax (double value)
 
Builder clearCombinedBoundsMax ()
 
boolean hasCombinedBoundsMin ()
 
double getCombinedBoundsMin ()
 
Builder setCombinedBoundsMin (double value)
 
Builder clearCombinedBoundsMin ()
 
boolean hasCombinedBoundsAvg ()
 
double getCombinedBoundsAvg ()
 
Builder setCombinedBoundsAvg (double value)
 
Builder clearCombinedBoundsAvg ()
 
boolean hasCombinedBoundsL2Norm ()
 
double getCombinedBoundsL2Norm ()
 
Builder setCombinedBoundsL2Norm (double value)
 
Builder clearCombinedBoundsL2Norm ()
 
boolean hasCombinedVariableBoundsMax ()
 
double getCombinedVariableBoundsMax ()
 
Builder setCombinedVariableBoundsMax (double value)
 
Builder clearCombinedVariableBoundsMax ()
 
boolean hasCombinedVariableBoundsMin ()
 
double getCombinedVariableBoundsMin ()
 
Builder setCombinedVariableBoundsMin (double value)
 
Builder clearCombinedVariableBoundsMin ()
 
boolean hasCombinedVariableBoundsAvg ()
 
double getCombinedVariableBoundsAvg ()
 
Builder setCombinedVariableBoundsAvg (double value)
 
Builder clearCombinedVariableBoundsAvg ()
 
boolean hasCombinedVariableBoundsL2Norm ()
 
double getCombinedVariableBoundsL2Norm ()
 
Builder setCombinedVariableBoundsL2Norm (double value)
 
Builder clearCombinedVariableBoundsL2Norm ()
 
boolean hasVariableBoundGapsNumFinite ()
 
long getVariableBoundGapsNumFinite ()
 
Builder setVariableBoundGapsNumFinite (long value)
 
Builder clearVariableBoundGapsNumFinite ()
 
boolean hasVariableBoundGapsMax ()
 
double getVariableBoundGapsMax ()
 
Builder setVariableBoundGapsMax (double value)
 
Builder clearVariableBoundGapsMax ()
 
boolean hasVariableBoundGapsMin ()
 
double getVariableBoundGapsMin ()
 
Builder setVariableBoundGapsMin (double value)
 
Builder clearVariableBoundGapsMin ()
 
boolean hasVariableBoundGapsAvg ()
 
double getVariableBoundGapsAvg ()
 
Builder setVariableBoundGapsAvg (double value)
 
Builder clearVariableBoundGapsAvg ()
 
boolean hasVariableBoundGapsL2Norm ()
 
double getVariableBoundGapsL2Norm ()
 
Builder setVariableBoundGapsL2Norm (double value)
 
Builder clearVariableBoundGapsL2Norm ()
 
boolean hasObjectiveVectorAbsMax ()
 
double getObjectiveVectorAbsMax ()
 
Builder setObjectiveVectorAbsMax (double value)
 
Builder clearObjectiveVectorAbsMax ()
 
boolean hasObjectiveVectorAbsMin ()
 
double getObjectiveVectorAbsMin ()
 
Builder setObjectiveVectorAbsMin (double value)
 
Builder clearObjectiveVectorAbsMin ()
 
boolean hasObjectiveVectorAbsAvg ()
 
double getObjectiveVectorAbsAvg ()
 
Builder setObjectiveVectorAbsAvg (double value)
 
Builder clearObjectiveVectorAbsAvg ()
 
boolean hasObjectiveVectorL2Norm ()
 
double getObjectiveVectorL2Norm ()
 
Builder setObjectiveVectorL2Norm (double value)
 
Builder clearObjectiveVectorL2Norm ()
 
boolean hasObjectiveMatrixNumNonzeros ()
 
long getObjectiveMatrixNumNonzeros ()
 
Builder setObjectiveMatrixNumNonzeros (long value)
 
Builder clearObjectiveMatrixNumNonzeros ()
 
boolean hasObjectiveMatrixAbsMax ()
 
double getObjectiveMatrixAbsMax ()
 
Builder setObjectiveMatrixAbsMax (double value)
 
Builder clearObjectiveMatrixAbsMax ()
 
boolean hasObjectiveMatrixAbsMin ()
 
double getObjectiveMatrixAbsMin ()
 
Builder setObjectiveMatrixAbsMin (double value)
 
Builder clearObjectiveMatrixAbsMin ()
 
boolean hasObjectiveMatrixAbsAvg ()
 
double getObjectiveMatrixAbsAvg ()
 
Builder setObjectiveMatrixAbsAvg (double value)
 
Builder clearObjectiveMatrixAbsAvg ()
 
boolean hasObjectiveMatrixL2Norm ()
 
double getObjectiveMatrixL2Norm ()
 
Builder setObjectiveMatrixL2Norm (double value)
 
Builder clearObjectiveMatrixL2Norm ()
 

Static Public Member Functions

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

Protected Member Functions

com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable ()
 

Detailed Description

Easy-to-compute statistics for the quadratic program.

Protobuf type operations_research.pdlp.QuadraticProgramStats

Definition at line 1463 of file QuadraticProgramStats.java.

Member Function Documentation

◆ build()

com.google.ortools.pdlp.QuadraticProgramStats com.google.ortools.pdlp.QuadraticProgramStats.Builder.build ( )

Definition at line 1540 of file QuadraticProgramStats.java.

◆ buildPartial()

com.google.ortools.pdlp.QuadraticProgramStats com.google.ortools.pdlp.QuadraticProgramStats.Builder.buildPartial ( )

Definition at line 1549 of file QuadraticProgramStats.java.

◆ clear()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clear ( )

Definition at line 1491 of file QuadraticProgramStats.java.

◆ clearCombinedBoundsAvg()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearCombinedBoundsAvg ( )

optional double combined_bounds_avg = 11;

Returns
This builder for chaining.

Definition at line 2578 of file QuadraticProgramStats.java.

◆ clearCombinedBoundsL2Norm()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearCombinedBoundsL2Norm ( )

optional double combined_bounds_l2_norm = 24;

Returns
This builder for chaining.

Definition at line 2618 of file QuadraticProgramStats.java.

◆ clearCombinedBoundsMax()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearCombinedBoundsMax ( ) 
Statistics of the combined vector of the constraint lower and upper bounds.
Given parallel lower and upper bounds vectors, the "combined bounds" vector
takes the maximum absolute value of each pair of bounds, ignoring all non-
finite values. The comment in solvers.proto:TerminationCriteria provides an
example of the combined bounds vector. The min is over the nonzero combined
bounds. If there are no constraints, the values returned are 0 for the
maximum, minimum, and l2 norm and NaN for the average.

optional double combined_bounds_max = 9;

Returns
This builder for chaining.

Definition at line 2498 of file QuadraticProgramStats.java.

◆ clearCombinedBoundsMin()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearCombinedBoundsMin ( )

optional double combined_bounds_min = 10;

Returns
This builder for chaining.

Definition at line 2538 of file QuadraticProgramStats.java.

◆ clearCombinedVariableBoundsAvg()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearCombinedVariableBoundsAvg ( )

optional double combined_variable_bounds_avg = 30;

Returns
This builder for chaining.

Definition at line 2770 of file QuadraticProgramStats.java.

◆ clearCombinedVariableBoundsL2Norm()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearCombinedVariableBoundsL2Norm ( )

optional double combined_variable_bounds_l2_norm = 31;

Returns
This builder for chaining.

Definition at line 2810 of file QuadraticProgramStats.java.

◆ clearCombinedVariableBoundsMax()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearCombinedVariableBoundsMax ( ) 
Statistics of the combined vector of the variable lower and upper bounds.
See the comment before `combined_bounds_max` for a description of the
"combined bounds" vector. The min is over the nonzero combined bounds. If
there are no variables, the values returned are 0 for the maximum, minimum,
and l2 norm and NaN for the average.

optional double combined_variable_bounds_max = 28;

Returns
This builder for chaining.

Definition at line 2690 of file QuadraticProgramStats.java.

◆ clearCombinedVariableBoundsMin()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearCombinedVariableBoundsMin ( )

optional double combined_variable_bounds_min = 29;

Returns
This builder for chaining.

Definition at line 2730 of file QuadraticProgramStats.java.

◆ clearConstraintMatrixAbsAvg()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearConstraintMatrixAbsAvg ( )

optional double constraint_matrix_abs_avg = 8;

Returns
This builder for chaining.

Definition at line 2378 of file QuadraticProgramStats.java.

◆ clearConstraintMatrixAbsMax()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearConstraintMatrixAbsMax ( ) 
Max/min/mean/l2_norm of absolute values of (finite) elements in constraint
matrix. Explicit zeros are included in the mean, but excluded from the min.
Note that the maximum absolute value is also equal to the maximal row and
column infinity norms of the constraint matrix. If the constraint matrix is
empty, the values returned are 0.0 for the maximum, minimum, and l2_norm,
and NaN for the average.

optional double constraint_matrix_abs_max = 6;

Returns
This builder for chaining.

Definition at line 2298 of file QuadraticProgramStats.java.

◆ clearConstraintMatrixAbsMin()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearConstraintMatrixAbsMin ( )

optional double constraint_matrix_abs_min = 7;

Returns
This builder for chaining.

Definition at line 2338 of file QuadraticProgramStats.java.

◆ clearConstraintMatrixColMinLInfNorm()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearConstraintMatrixColMinLInfNorm ( ) 
Minimum row and column infinity norms of the constraint matrix. All-zero
rows and columns are excluded. If the constraint matrix contains no nonzero
entries, the values returned are 0.0.

optional double constraint_matrix_col_min_l_inf_norm = 3;

Returns
This builder for chaining.

Definition at line 2126 of file QuadraticProgramStats.java.

◆ clearConstraintMatrixL2Norm()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearConstraintMatrixL2Norm ( )

optional double constraint_matrix_l2_norm = 25;

Returns
This builder for chaining.

Definition at line 2418 of file QuadraticProgramStats.java.

◆ clearConstraintMatrixNumNonzeros()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearConstraintMatrixNumNonzeros ( ) 
The number of (finite) nonzero entries in the constraint matrix.

optional int64 constraint_matrix_num_nonzeros = 5;

Returns
This builder for chaining.

Definition at line 2222 of file QuadraticProgramStats.java.

◆ clearConstraintMatrixRowMinLInfNorm()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearConstraintMatrixRowMinLInfNorm ( )

optional double constraint_matrix_row_min_l_inf_norm = 4;

Returns
This builder for chaining.

Definition at line 2166 of file QuadraticProgramStats.java.

◆ clearNumConstraints()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearNumConstraints ( )

optional int64 num_constraints = 2;

Returns
This builder for chaining.

Definition at line 2062 of file QuadraticProgramStats.java.

◆ clearNumVariables()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearNumVariables ( )

optional int64 num_variables = 1;

Returns
This builder for chaining.

Definition at line 2022 of file QuadraticProgramStats.java.

◆ clearObjectiveMatrixAbsAvg()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearObjectiveMatrixAbsAvg ( )

optional double objective_matrix_abs_avg = 22;

Returns
This builder for chaining.

Definition at line 3418 of file QuadraticProgramStats.java.

◆ clearObjectiveMatrixAbsMax()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearObjectiveMatrixAbsMax ( ) 
Max/min/mean/l2_norm of absolute values of elements of the objective
matrix. The min is over nonzero terms. If the objective matrix is empty,
the returned values are 0.0, 0.0, NaN, and 0.0 respectively.

optional double objective_matrix_abs_max = 20;

Returns
This builder for chaining.

Definition at line 3338 of file QuadraticProgramStats.java.

◆ clearObjectiveMatrixAbsMin()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearObjectiveMatrixAbsMin ( )

optional double objective_matrix_abs_min = 21;

Returns
This builder for chaining.

Definition at line 3378 of file QuadraticProgramStats.java.

◆ clearObjectiveMatrixL2Norm()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearObjectiveMatrixL2Norm ( )

optional double objective_matrix_l2_norm = 27;

Returns
This builder for chaining.

Definition at line 3458 of file QuadraticProgramStats.java.

◆ clearObjectiveMatrixNumNonzeros()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearObjectiveMatrixNumNonzeros ( )

optional int64 objective_matrix_num_nonzeros = 19;

Returns
This builder for chaining.

Definition at line 3274 of file QuadraticProgramStats.java.

◆ clearObjectiveVectorAbsAvg()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearObjectiveVectorAbsAvg ( )

optional double objective_vector_abs_avg = 18;

Returns
This builder for chaining.

Definition at line 3194 of file QuadraticProgramStats.java.

◆ clearObjectiveVectorAbsMax()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearObjectiveVectorAbsMax ( ) 
Statistics of the objective vector. The min is over the nonzero terms.

optional double objective_vector_abs_max = 16;

Returns
This builder for chaining.

Definition at line 3114 of file QuadraticProgramStats.java.

◆ clearObjectiveVectorAbsMin()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearObjectiveVectorAbsMin ( )

optional double objective_vector_abs_min = 17;

Returns
This builder for chaining.

Definition at line 3154 of file QuadraticProgramStats.java.

◆ clearObjectiveVectorL2Norm()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearObjectiveVectorL2Norm ( )

optional double objective_vector_l2_norm = 23;

Returns
This builder for chaining.

Definition at line 3234 of file QuadraticProgramStats.java.

◆ clearVariableBoundGapsAvg()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearVariableBoundGapsAvg ( )

optional double variable_bound_gaps_avg = 15;

Returns
This builder for chaining.

Definition at line 3018 of file QuadraticProgramStats.java.

◆ clearVariableBoundGapsL2Norm()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearVariableBoundGapsL2Norm ( )

optional double variable_bound_gaps_l2_norm = 26;

Returns
This builder for chaining.

Definition at line 3058 of file QuadraticProgramStats.java.

◆ clearVariableBoundGapsMax()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearVariableBoundGapsMax ( ) 
Max/min/mean/l2_norm over all finite variable bound gaps. The min excludes
zero bound gaps (i.e., fixed variables). When there are no finite gaps, the
values returned are 0 for the maximum, minimum, and l2_norm, and NaN for
the average.

optional double variable_bound_gaps_max = 13;

Returns
This builder for chaining.

Definition at line 2938 of file QuadraticProgramStats.java.

◆ clearVariableBoundGapsMin()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearVariableBoundGapsMin ( )

optional double variable_bound_gaps_min = 14;

Returns
This builder for chaining.

Definition at line 2978 of file QuadraticProgramStats.java.

◆ clearVariableBoundGapsNumFinite()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.clearVariableBoundGapsNumFinite ( ) 
Number of finite variable bound gaps, which are the elementwise difference
between the upper and lower bounds on primal feasible solutions.

optional int64 variable_bound_gaps_num_finite = 12;

Returns
This builder for chaining.

Definition at line 2870 of file QuadraticProgramStats.java.

◆ getCombinedBoundsAvg()

double com.google.ortools.pdlp.QuadraticProgramStats.Builder.getCombinedBoundsAvg ( )

optional double combined_bounds_avg = 11;

Returns
The combinedBoundsAvg.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2559 of file QuadraticProgramStats.java.

◆ getCombinedBoundsL2Norm()

double com.google.ortools.pdlp.QuadraticProgramStats.Builder.getCombinedBoundsL2Norm ( )

optional double combined_bounds_l2_norm = 24;

Returns
The combinedBoundsL2Norm.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2599 of file QuadraticProgramStats.java.

◆ getCombinedBoundsMax()

double com.google.ortools.pdlp.QuadraticProgramStats.Builder.getCombinedBoundsMax ( ) 
Statistics of the combined vector of the constraint lower and upper bounds.
Given parallel lower and upper bounds vectors, the "combined bounds" vector
takes the maximum absolute value of each pair of bounds, ignoring all non-
finite values. The comment in solvers.proto:TerminationCriteria provides an
example of the combined bounds vector. The min is over the nonzero combined
bounds. If there are no constraints, the values returned are 0 for the
maximum, minimum, and l2 norm and NaN for the average.

optional double combined_bounds_max = 9;

Returns
The combinedBoundsMax.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2459 of file QuadraticProgramStats.java.

◆ getCombinedBoundsMin()

double com.google.ortools.pdlp.QuadraticProgramStats.Builder.getCombinedBoundsMin ( )

optional double combined_bounds_min = 10;

Returns
The combinedBoundsMin.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2519 of file QuadraticProgramStats.java.

◆ getCombinedVariableBoundsAvg()

double com.google.ortools.pdlp.QuadraticProgramStats.Builder.getCombinedVariableBoundsAvg ( )

optional double combined_variable_bounds_avg = 30;

Returns
The combinedVariableBoundsAvg.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2751 of file QuadraticProgramStats.java.

◆ getCombinedVariableBoundsL2Norm()

double com.google.ortools.pdlp.QuadraticProgramStats.Builder.getCombinedVariableBoundsL2Norm ( )

optional double combined_variable_bounds_l2_norm = 31;

Returns
The combinedVariableBoundsL2Norm.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2791 of file QuadraticProgramStats.java.

◆ getCombinedVariableBoundsMax()

double com.google.ortools.pdlp.QuadraticProgramStats.Builder.getCombinedVariableBoundsMax ( ) 
Statistics of the combined vector of the variable lower and upper bounds.
See the comment before `combined_bounds_max` for a description of the
"combined bounds" vector. The min is over the nonzero combined bounds. If
there are no variables, the values returned are 0 for the maximum, minimum,
and l2 norm and NaN for the average.

optional double combined_variable_bounds_max = 28;

Returns
The combinedVariableBoundsMax.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2655 of file QuadraticProgramStats.java.

◆ getCombinedVariableBoundsMin()

double com.google.ortools.pdlp.QuadraticProgramStats.Builder.getCombinedVariableBoundsMin ( )

optional double combined_variable_bounds_min = 29;

Returns
The combinedVariableBoundsMin.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2711 of file QuadraticProgramStats.java.

◆ getConstraintMatrixAbsAvg()

double com.google.ortools.pdlp.QuadraticProgramStats.Builder.getConstraintMatrixAbsAvg ( )

optional double constraint_matrix_abs_avg = 8;

Returns
The constraintMatrixAbsAvg.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2359 of file QuadraticProgramStats.java.

◆ getConstraintMatrixAbsMax()

double com.google.ortools.pdlp.QuadraticProgramStats.Builder.getConstraintMatrixAbsMax ( ) 
Max/min/mean/l2_norm of absolute values of (finite) elements in constraint
matrix. Explicit zeros are included in the mean, but excluded from the min.
Note that the maximum absolute value is also equal to the maximal row and
column infinity norms of the constraint matrix. If the constraint matrix is
empty, the values returned are 0.0 for the maximum, minimum, and l2_norm,
and NaN for the average.

optional double constraint_matrix_abs_max = 6;

Returns
The constraintMatrixAbsMax.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2261 of file QuadraticProgramStats.java.

◆ getConstraintMatrixAbsMin()

double com.google.ortools.pdlp.QuadraticProgramStats.Builder.getConstraintMatrixAbsMin ( )

optional double constraint_matrix_abs_min = 7;

Returns
The constraintMatrixAbsMin.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2319 of file QuadraticProgramStats.java.

◆ getConstraintMatrixColMinLInfNorm()

double com.google.ortools.pdlp.QuadraticProgramStats.Builder.getConstraintMatrixColMinLInfNorm ( ) 
Minimum row and column infinity norms of the constraint matrix. All-zero
rows and columns are excluded. If the constraint matrix contains no nonzero
entries, the values returned are 0.0.

optional double constraint_matrix_col_min_l_inf_norm = 3;

Returns
The constraintMatrixColMinLInfNorm.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2095 of file QuadraticProgramStats.java.

◆ getConstraintMatrixL2Norm()

double com.google.ortools.pdlp.QuadraticProgramStats.Builder.getConstraintMatrixL2Norm ( )

optional double constraint_matrix_l2_norm = 25;

Returns
The constraintMatrixL2Norm.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2399 of file QuadraticProgramStats.java.

◆ getConstraintMatrixNumNonzeros()

long com.google.ortools.pdlp.QuadraticProgramStats.Builder.getConstraintMatrixNumNonzeros ( ) 
The number of (finite) nonzero entries in the constraint matrix.

optional int64 constraint_matrix_num_nonzeros = 5;

Returns
The constraintMatrixNumNonzeros.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2195 of file QuadraticProgramStats.java.

◆ getConstraintMatrixRowMinLInfNorm()

double com.google.ortools.pdlp.QuadraticProgramStats.Builder.getConstraintMatrixRowMinLInfNorm ( )

optional double constraint_matrix_row_min_l_inf_norm = 4;

Returns
The constraintMatrixRowMinLInfNorm.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2147 of file QuadraticProgramStats.java.

◆ getDefaultInstanceForType()

com.google.ortools.pdlp.QuadraticProgramStats com.google.ortools.pdlp.QuadraticProgramStats.Builder.getDefaultInstanceForType ( )

Definition at line 1535 of file QuadraticProgramStats.java.

◆ getDescriptor()

static final com.google.protobuf.Descriptors.Descriptor com.google.ortools.pdlp.QuadraticProgramStats.Builder.getDescriptor ( )
static

Definition at line 1468 of file QuadraticProgramStats.java.

◆ getDescriptorForType()

com.google.protobuf.Descriptors.Descriptor com.google.ortools.pdlp.QuadraticProgramStats.Builder.getDescriptorForType ( )

Definition at line 1530 of file QuadraticProgramStats.java.

◆ getNumConstraints()

long com.google.ortools.pdlp.QuadraticProgramStats.Builder.getNumConstraints ( )

optional int64 num_constraints = 2;

Returns
The numConstraints.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2043 of file QuadraticProgramStats.java.

◆ getNumVariables()

long com.google.ortools.pdlp.QuadraticProgramStats.Builder.getNumVariables ( )

optional int64 num_variables = 1;

Returns
The numVariables.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2003 of file QuadraticProgramStats.java.

◆ getObjectiveMatrixAbsAvg()

double com.google.ortools.pdlp.QuadraticProgramStats.Builder.getObjectiveMatrixAbsAvg ( )

optional double objective_matrix_abs_avg = 22;

Returns
The objectiveMatrixAbsAvg.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3399 of file QuadraticProgramStats.java.

◆ getObjectiveMatrixAbsMax()

double com.google.ortools.pdlp.QuadraticProgramStats.Builder.getObjectiveMatrixAbsMax ( ) 
Max/min/mean/l2_norm of absolute values of elements of the objective
matrix. The min is over nonzero terms. If the objective matrix is empty,
the returned values are 0.0, 0.0, NaN, and 0.0 respectively.

optional double objective_matrix_abs_max = 20;

Returns
The objectiveMatrixAbsMax.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3307 of file QuadraticProgramStats.java.

◆ getObjectiveMatrixAbsMin()

double com.google.ortools.pdlp.QuadraticProgramStats.Builder.getObjectiveMatrixAbsMin ( )

optional double objective_matrix_abs_min = 21;

Returns
The objectiveMatrixAbsMin.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3359 of file QuadraticProgramStats.java.

◆ getObjectiveMatrixL2Norm()

double com.google.ortools.pdlp.QuadraticProgramStats.Builder.getObjectiveMatrixL2Norm ( )

optional double objective_matrix_l2_norm = 27;

Returns
The objectiveMatrixL2Norm.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3439 of file QuadraticProgramStats.java.

◆ getObjectiveMatrixNumNonzeros()

long com.google.ortools.pdlp.QuadraticProgramStats.Builder.getObjectiveMatrixNumNonzeros ( )

optional int64 objective_matrix_num_nonzeros = 19;

Returns
The objectiveMatrixNumNonzeros.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3255 of file QuadraticProgramStats.java.

◆ getObjectiveVectorAbsAvg()

double com.google.ortools.pdlp.QuadraticProgramStats.Builder.getObjectiveVectorAbsAvg ( )

optional double objective_vector_abs_avg = 18;

Returns
The objectiveVectorAbsAvg.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3175 of file QuadraticProgramStats.java.

◆ getObjectiveVectorAbsMax()

double com.google.ortools.pdlp.QuadraticProgramStats.Builder.getObjectiveVectorAbsMax ( ) 
Statistics of the objective vector. The min is over the nonzero terms.

optional double objective_vector_abs_max = 16;

Returns
The objectiveVectorAbsMax.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3087 of file QuadraticProgramStats.java.

◆ getObjectiveVectorAbsMin()

double com.google.ortools.pdlp.QuadraticProgramStats.Builder.getObjectiveVectorAbsMin ( )

optional double objective_vector_abs_min = 17;

Returns
The objectiveVectorAbsMin.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3135 of file QuadraticProgramStats.java.

◆ getObjectiveVectorL2Norm()

double com.google.ortools.pdlp.QuadraticProgramStats.Builder.getObjectiveVectorL2Norm ( )

optional double objective_vector_l2_norm = 23;

Returns
The objectiveVectorL2Norm.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3215 of file QuadraticProgramStats.java.

◆ getVariableBoundGapsAvg()

double com.google.ortools.pdlp.QuadraticProgramStats.Builder.getVariableBoundGapsAvg ( )

optional double variable_bound_gaps_avg = 15;

Returns
The variableBoundGapsAvg.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2999 of file QuadraticProgramStats.java.

◆ getVariableBoundGapsL2Norm()

double com.google.ortools.pdlp.QuadraticProgramStats.Builder.getVariableBoundGapsL2Norm ( )

optional double variable_bound_gaps_l2_norm = 26;

Returns
The variableBoundGapsL2Norm.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3039 of file QuadraticProgramStats.java.

◆ getVariableBoundGapsMax()

double com.google.ortools.pdlp.QuadraticProgramStats.Builder.getVariableBoundGapsMax ( ) 
Max/min/mean/l2_norm over all finite variable bound gaps. The min excludes
zero bound gaps (i.e., fixed variables). When there are no finite gaps, the
values returned are 0 for the maximum, minimum, and l2_norm, and NaN for
the average.

optional double variable_bound_gaps_max = 13;

Returns
The variableBoundGapsMax.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2905 of file QuadraticProgramStats.java.

◆ getVariableBoundGapsMin()

double com.google.ortools.pdlp.QuadraticProgramStats.Builder.getVariableBoundGapsMin ( )

optional double variable_bound_gaps_min = 14;

Returns
The variableBoundGapsMin.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2959 of file QuadraticProgramStats.java.

◆ getVariableBoundGapsNumFinite()

long com.google.ortools.pdlp.QuadraticProgramStats.Builder.getVariableBoundGapsNumFinite ( ) 
Number of finite variable bound gaps, which are the elementwise difference
between the upper and lower bounds on primal feasible solutions.

optional int64 variable_bound_gaps_num_finite = 12;

Returns
The variableBoundGapsNumFinite.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2841 of file QuadraticProgramStats.java.

◆ hasCombinedBoundsAvg()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasCombinedBoundsAvg ( )

optional double combined_bounds_avg = 11;

Returns
Whether the combinedBoundsAvg field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2551 of file QuadraticProgramStats.java.

◆ hasCombinedBoundsL2Norm()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasCombinedBoundsL2Norm ( )

optional double combined_bounds_l2_norm = 24;

Returns
Whether the combinedBoundsL2Norm field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2591 of file QuadraticProgramStats.java.

◆ hasCombinedBoundsMax()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasCombinedBoundsMax ( ) 
Statistics of the combined vector of the constraint lower and upper bounds.
Given parallel lower and upper bounds vectors, the "combined bounds" vector
takes the maximum absolute value of each pair of bounds, ignoring all non-
finite values. The comment in solvers.proto:TerminationCriteria provides an
example of the combined bounds vector. The min is over the nonzero combined
bounds. If there are no constraints, the values returned are 0 for the
maximum, minimum, and l2 norm and NaN for the average.

optional double combined_bounds_max = 9;

Returns
Whether the combinedBoundsMax field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2441 of file QuadraticProgramStats.java.

◆ hasCombinedBoundsMin()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasCombinedBoundsMin ( )

optional double combined_bounds_min = 10;

Returns
Whether the combinedBoundsMin field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2511 of file QuadraticProgramStats.java.

◆ hasCombinedVariableBoundsAvg()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasCombinedVariableBoundsAvg ( )

optional double combined_variable_bounds_avg = 30;

Returns
Whether the combinedVariableBoundsAvg field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2743 of file QuadraticProgramStats.java.

◆ hasCombinedVariableBoundsL2Norm()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasCombinedVariableBoundsL2Norm ( )

optional double combined_variable_bounds_l2_norm = 31;

Returns
Whether the combinedVariableBoundsL2Norm field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2783 of file QuadraticProgramStats.java.

◆ hasCombinedVariableBoundsMax()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasCombinedVariableBoundsMax ( ) 
Statistics of the combined vector of the variable lower and upper bounds.
See the comment before `combined_bounds_max` for a description of the
"combined bounds" vector. The min is over the nonzero combined bounds. If
there are no variables, the values returned are 0 for the maximum, minimum,
and l2 norm and NaN for the average.

optional double combined_variable_bounds_max = 28;

Returns
Whether the combinedVariableBoundsMax field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2639 of file QuadraticProgramStats.java.

◆ hasCombinedVariableBoundsMin()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasCombinedVariableBoundsMin ( )

optional double combined_variable_bounds_min = 29;

Returns
Whether the combinedVariableBoundsMin field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2703 of file QuadraticProgramStats.java.

◆ hasConstraintMatrixAbsAvg()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasConstraintMatrixAbsAvg ( )

optional double constraint_matrix_abs_avg = 8;

Returns
Whether the constraintMatrixAbsAvg field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2351 of file QuadraticProgramStats.java.

◆ hasConstraintMatrixAbsMax()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasConstraintMatrixAbsMax ( ) 
Max/min/mean/l2_norm of absolute values of (finite) elements in constraint
matrix. Explicit zeros are included in the mean, but excluded from the min.
Note that the maximum absolute value is also equal to the maximal row and
column infinity norms of the constraint matrix. If the constraint matrix is
empty, the values returned are 0.0 for the maximum, minimum, and l2_norm,
and NaN for the average.

optional double constraint_matrix_abs_max = 6;

Returns
Whether the constraintMatrixAbsMax field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2244 of file QuadraticProgramStats.java.

◆ hasConstraintMatrixAbsMin()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasConstraintMatrixAbsMin ( )

optional double constraint_matrix_abs_min = 7;

Returns
Whether the constraintMatrixAbsMin field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2311 of file QuadraticProgramStats.java.

◆ hasConstraintMatrixColMinLInfNorm()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasConstraintMatrixColMinLInfNorm ( ) 
Minimum row and column infinity norms of the constraint matrix. All-zero
rows and columns are excluded. If the constraint matrix contains no nonzero
entries, the values returned are 0.0.

optional double constraint_matrix_col_min_l_inf_norm = 3;

Returns
Whether the constraintMatrixColMinLInfNorm field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2081 of file QuadraticProgramStats.java.

◆ hasConstraintMatrixL2Norm()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasConstraintMatrixL2Norm ( )

optional double constraint_matrix_l2_norm = 25;

Returns
Whether the constraintMatrixL2Norm field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2391 of file QuadraticProgramStats.java.

◆ hasConstraintMatrixNumNonzeros()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasConstraintMatrixNumNonzeros ( ) 
The number of (finite) nonzero entries in the constraint matrix.

optional int64 constraint_matrix_num_nonzeros = 5;

Returns
Whether the constraintMatrixNumNonzeros field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2183 of file QuadraticProgramStats.java.

◆ hasConstraintMatrixRowMinLInfNorm()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasConstraintMatrixRowMinLInfNorm ( )

optional double constraint_matrix_row_min_l_inf_norm = 4;

Returns
Whether the constraintMatrixRowMinLInfNorm field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2139 of file QuadraticProgramStats.java.

◆ hasNumConstraints()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasNumConstraints ( )

optional int64 num_constraints = 2;

Returns
Whether the numConstraints field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2035 of file QuadraticProgramStats.java.

◆ hasNumVariables()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasNumVariables ( )

optional int64 num_variables = 1;

Returns
Whether the numVariables field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 1995 of file QuadraticProgramStats.java.

◆ hasObjectiveMatrixAbsAvg()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasObjectiveMatrixAbsAvg ( )

optional double objective_matrix_abs_avg = 22;

Returns
Whether the objectiveMatrixAbsAvg field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3391 of file QuadraticProgramStats.java.

◆ hasObjectiveMatrixAbsMax()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasObjectiveMatrixAbsMax ( ) 
Max/min/mean/l2_norm of absolute values of elements of the objective
matrix. The min is over nonzero terms. If the objective matrix is empty,
the returned values are 0.0, 0.0, NaN, and 0.0 respectively.

optional double objective_matrix_abs_max = 20;

Returns
Whether the objectiveMatrixAbsMax field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3293 of file QuadraticProgramStats.java.

◆ hasObjectiveMatrixAbsMin()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasObjectiveMatrixAbsMin ( )

optional double objective_matrix_abs_min = 21;

Returns
Whether the objectiveMatrixAbsMin field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3351 of file QuadraticProgramStats.java.

◆ hasObjectiveMatrixL2Norm()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasObjectiveMatrixL2Norm ( )

optional double objective_matrix_l2_norm = 27;

Returns
Whether the objectiveMatrixL2Norm field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3431 of file QuadraticProgramStats.java.

◆ hasObjectiveMatrixNumNonzeros()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasObjectiveMatrixNumNonzeros ( )

optional int64 objective_matrix_num_nonzeros = 19;

Returns
Whether the objectiveMatrixNumNonzeros field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3247 of file QuadraticProgramStats.java.

◆ hasObjectiveVectorAbsAvg()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasObjectiveVectorAbsAvg ( )

optional double objective_vector_abs_avg = 18;

Returns
Whether the objectiveVectorAbsAvg field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3167 of file QuadraticProgramStats.java.

◆ hasObjectiveVectorAbsMax()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasObjectiveVectorAbsMax ( ) 
Statistics of the objective vector. The min is over the nonzero terms.

optional double objective_vector_abs_max = 16;

Returns
Whether the objectiveVectorAbsMax field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3075 of file QuadraticProgramStats.java.

◆ hasObjectiveVectorAbsMin()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasObjectiveVectorAbsMin ( )

optional double objective_vector_abs_min = 17;

Returns
Whether the objectiveVectorAbsMin field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3127 of file QuadraticProgramStats.java.

◆ hasObjectiveVectorL2Norm()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasObjectiveVectorL2Norm ( )

optional double objective_vector_l2_norm = 23;

Returns
Whether the objectiveVectorL2Norm field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3207 of file QuadraticProgramStats.java.

◆ hasVariableBoundGapsAvg()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasVariableBoundGapsAvg ( )

optional double variable_bound_gaps_avg = 15;

Returns
Whether the variableBoundGapsAvg field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2991 of file QuadraticProgramStats.java.

◆ hasVariableBoundGapsL2Norm()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasVariableBoundGapsL2Norm ( )

optional double variable_bound_gaps_l2_norm = 26;

Returns
Whether the variableBoundGapsL2Norm field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3031 of file QuadraticProgramStats.java.

◆ hasVariableBoundGapsMax()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasVariableBoundGapsMax ( ) 
Max/min/mean/l2_norm over all finite variable bound gaps. The min excludes
zero bound gaps (i.e., fixed variables). When there are no finite gaps, the
values returned are 0 for the maximum, minimum, and l2_norm, and NaN for
the average.

optional double variable_bound_gaps_max = 13;

Returns
Whether the variableBoundGapsMax field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2890 of file QuadraticProgramStats.java.

◆ hasVariableBoundGapsMin()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasVariableBoundGapsMin ( )

optional double variable_bound_gaps_min = 14;

Returns
Whether the variableBoundGapsMin field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2951 of file QuadraticProgramStats.java.

◆ hasVariableBoundGapsNumFinite()

boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.hasVariableBoundGapsNumFinite ( ) 
Number of finite variable bound gaps, which are the elementwise difference
between the upper and lower bounds on primal feasible solutions.

optional int64 variable_bound_gaps_num_finite = 12;

Returns
Whether the variableBoundGapsNumFinite field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2828 of file QuadraticProgramStats.java.

◆ internalGetFieldAccessorTable()

com.google.protobuf.GeneratedMessage.FieldAccessorTable com.google.ortools.pdlp.QuadraticProgramStats.Builder.internalGetFieldAccessorTable ( )
protected

Definition at line 1474 of file QuadraticProgramStats.java.

◆ isInitialized()

final boolean com.google.ortools.pdlp.QuadraticProgramStats.Builder.isInitialized ( )

Definition at line 1797 of file QuadraticProgramStats.java.

◆ mergeFrom() [1/3]

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.mergeFrom ( com.google.ortools.pdlp.QuadraticProgramStats other)

Definition at line 1696 of file QuadraticProgramStats.java.

◆ mergeFrom() [2/3]

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.mergeFrom ( com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry ) throws java.io.IOException

Definition at line 1802 of file QuadraticProgramStats.java.

◆ mergeFrom() [3/3]

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.mergeFrom ( com.google.protobuf.Message other)

Definition at line 1687 of file QuadraticProgramStats.java.

◆ setCombinedBoundsAvg()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setCombinedBoundsAvg ( double value)

optional double combined_bounds_avg = 11;

Parameters
valueThe combinedBoundsAvg to set.
Returns
This builder for chaining.

Definition at line 2567 of file QuadraticProgramStats.java.

◆ setCombinedBoundsL2Norm()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setCombinedBoundsL2Norm ( double value)

optional double combined_bounds_l2_norm = 24;

Parameters
valueThe combinedBoundsL2Norm to set.
Returns
This builder for chaining.

Definition at line 2607 of file QuadraticProgramStats.java.

◆ setCombinedBoundsMax()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setCombinedBoundsMax ( double value) 
Statistics of the combined vector of the constraint lower and upper bounds.
Given parallel lower and upper bounds vectors, the "combined bounds" vector
takes the maximum absolute value of each pair of bounds, ignoring all non-
finite values. The comment in solvers.proto:TerminationCriteria provides an
example of the combined bounds vector. The min is over the nonzero combined
bounds. If there are no constraints, the values returned are 0 for the
maximum, minimum, and l2 norm and NaN for the average.

optional double combined_bounds_max = 9;

Parameters
valueThe combinedBoundsMax to set.
Returns
This builder for chaining.

Definition at line 2477 of file QuadraticProgramStats.java.

◆ setCombinedBoundsMin()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setCombinedBoundsMin ( double value)

optional double combined_bounds_min = 10;

Parameters
valueThe combinedBoundsMin to set.
Returns
This builder for chaining.

Definition at line 2527 of file QuadraticProgramStats.java.

◆ setCombinedVariableBoundsAvg()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setCombinedVariableBoundsAvg ( double value)

optional double combined_variable_bounds_avg = 30;

Parameters
valueThe combinedVariableBoundsAvg to set.
Returns
This builder for chaining.

Definition at line 2759 of file QuadraticProgramStats.java.

◆ setCombinedVariableBoundsL2Norm()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setCombinedVariableBoundsL2Norm ( double value)

optional double combined_variable_bounds_l2_norm = 31;

Parameters
valueThe combinedVariableBoundsL2Norm to set.
Returns
This builder for chaining.

Definition at line 2799 of file QuadraticProgramStats.java.

◆ setCombinedVariableBoundsMax()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setCombinedVariableBoundsMax ( double value) 
Statistics of the combined vector of the variable lower and upper bounds.
See the comment before `combined_bounds_max` for a description of the
"combined bounds" vector. The min is over the nonzero combined bounds. If
there are no variables, the values returned are 0 for the maximum, minimum,
and l2 norm and NaN for the average.

optional double combined_variable_bounds_max = 28;

Parameters
valueThe combinedVariableBoundsMax to set.
Returns
This builder for chaining.

Definition at line 2671 of file QuadraticProgramStats.java.

◆ setCombinedVariableBoundsMin()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setCombinedVariableBoundsMin ( double value)

optional double combined_variable_bounds_min = 29;

Parameters
valueThe combinedVariableBoundsMin to set.
Returns
This builder for chaining.

Definition at line 2719 of file QuadraticProgramStats.java.

◆ setConstraintMatrixAbsAvg()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setConstraintMatrixAbsAvg ( double value)

optional double constraint_matrix_abs_avg = 8;

Parameters
valueThe constraintMatrixAbsAvg to set.
Returns
This builder for chaining.

Definition at line 2367 of file QuadraticProgramStats.java.

◆ setConstraintMatrixAbsMax()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setConstraintMatrixAbsMax ( double value) 
Max/min/mean/l2_norm of absolute values of (finite) elements in constraint
matrix. Explicit zeros are included in the mean, but excluded from the min.
Note that the maximum absolute value is also equal to the maximal row and
column infinity norms of the constraint matrix. If the constraint matrix is
empty, the values returned are 0.0 for the maximum, minimum, and l2_norm,
and NaN for the average.

optional double constraint_matrix_abs_max = 6;

Parameters
valueThe constraintMatrixAbsMax to set.
Returns
This builder for chaining.

Definition at line 2278 of file QuadraticProgramStats.java.

◆ setConstraintMatrixAbsMin()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setConstraintMatrixAbsMin ( double value)

optional double constraint_matrix_abs_min = 7;

Parameters
valueThe constraintMatrixAbsMin to set.
Returns
This builder for chaining.

Definition at line 2327 of file QuadraticProgramStats.java.

◆ setConstraintMatrixColMinLInfNorm()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setConstraintMatrixColMinLInfNorm ( double value) 
Minimum row and column infinity norms of the constraint matrix. All-zero
rows and columns are excluded. If the constraint matrix contains no nonzero
entries, the values returned are 0.0.

optional double constraint_matrix_col_min_l_inf_norm = 3;

Parameters
valueThe constraintMatrixColMinLInfNorm to set.
Returns
This builder for chaining.

Definition at line 2109 of file QuadraticProgramStats.java.

◆ setConstraintMatrixL2Norm()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setConstraintMatrixL2Norm ( double value)

optional double constraint_matrix_l2_norm = 25;

Parameters
valueThe constraintMatrixL2Norm to set.
Returns
This builder for chaining.

Definition at line 2407 of file QuadraticProgramStats.java.

◆ setConstraintMatrixNumNonzeros()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setConstraintMatrixNumNonzeros ( long value) 
The number of (finite) nonzero entries in the constraint matrix.

optional int64 constraint_matrix_num_nonzeros = 5;

Parameters
valueThe constraintMatrixNumNonzeros to set.
Returns
This builder for chaining.

Definition at line 2207 of file QuadraticProgramStats.java.

◆ setConstraintMatrixRowMinLInfNorm()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setConstraintMatrixRowMinLInfNorm ( double value)

optional double constraint_matrix_row_min_l_inf_norm = 4;

Parameters
valueThe constraintMatrixRowMinLInfNorm to set.
Returns
This builder for chaining.

Definition at line 2155 of file QuadraticProgramStats.java.

◆ setNumConstraints()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setNumConstraints ( long value)

optional int64 num_constraints = 2;

Parameters
valueThe numConstraints to set.
Returns
This builder for chaining.

Definition at line 2051 of file QuadraticProgramStats.java.

◆ setNumVariables()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setNumVariables ( long value)

optional int64 num_variables = 1;

Parameters
valueThe numVariables to set.
Returns
This builder for chaining.

Definition at line 2011 of file QuadraticProgramStats.java.

◆ setObjectiveMatrixAbsAvg()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setObjectiveMatrixAbsAvg ( double value)

optional double objective_matrix_abs_avg = 22;

Parameters
valueThe objectiveMatrixAbsAvg to set.
Returns
This builder for chaining.

Definition at line 3407 of file QuadraticProgramStats.java.

◆ setObjectiveMatrixAbsMax()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setObjectiveMatrixAbsMax ( double value) 
Max/min/mean/l2_norm of absolute values of elements of the objective
matrix. The min is over nonzero terms. If the objective matrix is empty,
the returned values are 0.0, 0.0, NaN, and 0.0 respectively.

optional double objective_matrix_abs_max = 20;

Parameters
valueThe objectiveMatrixAbsMax to set.
Returns
This builder for chaining.

Definition at line 3321 of file QuadraticProgramStats.java.

◆ setObjectiveMatrixAbsMin()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setObjectiveMatrixAbsMin ( double value)

optional double objective_matrix_abs_min = 21;

Parameters
valueThe objectiveMatrixAbsMin to set.
Returns
This builder for chaining.

Definition at line 3367 of file QuadraticProgramStats.java.

◆ setObjectiveMatrixL2Norm()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setObjectiveMatrixL2Norm ( double value)

optional double objective_matrix_l2_norm = 27;

Parameters
valueThe objectiveMatrixL2Norm to set.
Returns
This builder for chaining.

Definition at line 3447 of file QuadraticProgramStats.java.

◆ setObjectiveMatrixNumNonzeros()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setObjectiveMatrixNumNonzeros ( long value)

optional int64 objective_matrix_num_nonzeros = 19;

Parameters
valueThe objectiveMatrixNumNonzeros to set.
Returns
This builder for chaining.

Definition at line 3263 of file QuadraticProgramStats.java.

◆ setObjectiveVectorAbsAvg()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setObjectiveVectorAbsAvg ( double value)

optional double objective_vector_abs_avg = 18;

Parameters
valueThe objectiveVectorAbsAvg to set.
Returns
This builder for chaining.

Definition at line 3183 of file QuadraticProgramStats.java.

◆ setObjectiveVectorAbsMax()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setObjectiveVectorAbsMax ( double value) 
Statistics of the objective vector. The min is over the nonzero terms.

optional double objective_vector_abs_max = 16;

Parameters
valueThe objectiveVectorAbsMax to set.
Returns
This builder for chaining.

Definition at line 3099 of file QuadraticProgramStats.java.

◆ setObjectiveVectorAbsMin()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setObjectiveVectorAbsMin ( double value)

optional double objective_vector_abs_min = 17;

Parameters
valueThe objectiveVectorAbsMin to set.
Returns
This builder for chaining.

Definition at line 3143 of file QuadraticProgramStats.java.

◆ setObjectiveVectorL2Norm()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setObjectiveVectorL2Norm ( double value)

optional double objective_vector_l2_norm = 23;

Parameters
valueThe objectiveVectorL2Norm to set.
Returns
This builder for chaining.

Definition at line 3223 of file QuadraticProgramStats.java.

◆ setVariableBoundGapsAvg()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setVariableBoundGapsAvg ( double value)

optional double variable_bound_gaps_avg = 15;

Parameters
valueThe variableBoundGapsAvg to set.
Returns
This builder for chaining.

Definition at line 3007 of file QuadraticProgramStats.java.

◆ setVariableBoundGapsL2Norm()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setVariableBoundGapsL2Norm ( double value)

optional double variable_bound_gaps_l2_norm = 26;

Parameters
valueThe variableBoundGapsL2Norm to set.
Returns
This builder for chaining.

Definition at line 3047 of file QuadraticProgramStats.java.

◆ setVariableBoundGapsMax()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setVariableBoundGapsMax ( double value) 
Max/min/mean/l2_norm over all finite variable bound gaps. The min excludes
zero bound gaps (i.e., fixed variables). When there are no finite gaps, the
values returned are 0 for the maximum, minimum, and l2_norm, and NaN for
the average.

optional double variable_bound_gaps_max = 13;

Parameters
valueThe variableBoundGapsMax to set.
Returns
This builder for chaining.

Definition at line 2920 of file QuadraticProgramStats.java.

◆ setVariableBoundGapsMin()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setVariableBoundGapsMin ( double value)

optional double variable_bound_gaps_min = 14;

Parameters
valueThe variableBoundGapsMin to set.
Returns
This builder for chaining.

Definition at line 2967 of file QuadraticProgramStats.java.

◆ setVariableBoundGapsNumFinite()

Builder com.google.ortools.pdlp.QuadraticProgramStats.Builder.setVariableBoundGapsNumFinite ( long value) 
Number of finite variable bound gaps, which are the elementwise difference
between the upper and lower bounds on primal feasible solutions.

optional int64 variable_bound_gaps_num_finite = 12;

Parameters
valueThe variableBoundGapsNumFinite to set.
Returns
This builder for chaining.

Definition at line 2854 of file QuadraticProgramStats.java.

The documentation for this class was generated from the following file: