Detailed Description

Easy-to-compute statistics for the quadratic program.

Protobuf type operations_research.pdlp.QuadraticProgramStats

Definition at line 1464 of file QuadraticProgramStats.java.

Inheritance diagram for com.google.ortools.pdlp.QuadraticProgramStats.Builder:

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 ()

Member Function Documentation

◆ build()

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

Definition at line 1541 of file QuadraticProgramStats.java.

◆ buildPartial()

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

Definition at line 1550 of file QuadraticProgramStats.java.

◆ clear()

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

Definition at line 1492 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 2579 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 2619 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 2499 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 2539 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 2771 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 2811 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 2691 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 2731 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 2379 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 2299 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 2339 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 2127 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 2419 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 2223 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 2167 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 2063 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 2023 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 3419 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 3339 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 3379 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 3459 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 3275 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 3195 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 3115 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 3155 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 3235 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 3019 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 3059 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 2939 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 2979 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 2871 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 2560 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 2600 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 2460 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 2520 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 2752 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 2792 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 2656 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 2712 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 2360 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 2262 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 2320 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 2096 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 2400 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 2196 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 2148 of file QuadraticProgramStats.java.

◆ getDefaultInstanceForType()

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

Definition at line 1536 of file QuadraticProgramStats.java.

◆ getDescriptor()

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

static

Definition at line 1469 of file QuadraticProgramStats.java.

◆ getDescriptorForType()

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

Definition at line 1531 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 2044 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 2004 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 3400 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 3308 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 3360 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 3440 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 3256 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 3176 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 3088 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 3136 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 3216 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 3000 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 3040 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 2906 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 2960 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 2842 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 2552 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 2592 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 2442 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 2512 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 2744 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 2784 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 2640 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 2704 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 2352 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 2245 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 2312 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 2082 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 2392 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 2184 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 2140 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 2036 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 1996 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 3392 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 3294 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 3352 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 3432 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 3248 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 3168 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 3076 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 3128 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 3208 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 2992 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 3032 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 2891 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 2952 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 2829 of file QuadraticProgramStats.java.

◆ internalGetFieldAccessorTable()

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

protected

Definition at line 1475 of file QuadraticProgramStats.java.

◆ isInitialized()

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

Definition at line 1798 of file QuadraticProgramStats.java.

◆ mergeFrom() [1/3]

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

Definition at line 1697 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 1803 of file QuadraticProgramStats.java.

◆ mergeFrom() [3/3]

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

Definition at line 1688 of file QuadraticProgramStats.java.

◆ setCombinedBoundsAvg()

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

optional double combined_bounds_avg = 11;

Parameters

value The combinedBoundsAvg to set.

Returns: This builder for chaining.

Definition at line 2568 of file QuadraticProgramStats.java.

◆ setCombinedBoundsL2Norm()

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

optional double combined_bounds_l2_norm = 24;

Parameters

value The combinedBoundsL2Norm to set.

Returns: This builder for chaining.

Definition at line 2608 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

value The combinedBoundsMax to set.

Returns: This builder for chaining.

Definition at line 2478 of file QuadraticProgramStats.java.

◆ setCombinedBoundsMin()

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

optional double combined_bounds_min = 10;

Parameters

value The combinedBoundsMin to set.

Returns: This builder for chaining.

Definition at line 2528 of file QuadraticProgramStats.java.

◆ setCombinedVariableBoundsAvg()

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

optional double combined_variable_bounds_avg = 30;

Parameters

value The combinedVariableBoundsAvg to set.

Returns: This builder for chaining.

Definition at line 2760 of file QuadraticProgramStats.java.

◆ setCombinedVariableBoundsL2Norm()

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

optional double combined_variable_bounds_l2_norm = 31;

Parameters

value The combinedVariableBoundsL2Norm to set.

Returns: This builder for chaining.

Definition at line 2800 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

value The combinedVariableBoundsMax to set.

Returns: This builder for chaining.

Definition at line 2672 of file QuadraticProgramStats.java.

◆ setCombinedVariableBoundsMin()

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

optional double combined_variable_bounds_min = 29;

Parameters

value The combinedVariableBoundsMin to set.

Returns: This builder for chaining.

Definition at line 2720 of file QuadraticProgramStats.java.

◆ setConstraintMatrixAbsAvg()

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

optional double constraint_matrix_abs_avg = 8;

Parameters

value The constraintMatrixAbsAvg to set.

Returns: This builder for chaining.

Definition at line 2368 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

value The constraintMatrixAbsMax to set.

Returns: This builder for chaining.

Definition at line 2279 of file QuadraticProgramStats.java.

◆ setConstraintMatrixAbsMin()

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

optional double constraint_matrix_abs_min = 7;

Parameters

value The constraintMatrixAbsMin to set.

Returns: This builder for chaining.

Definition at line 2328 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

value The constraintMatrixColMinLInfNorm to set.

Returns: This builder for chaining.

Definition at line 2110 of file QuadraticProgramStats.java.

◆ setConstraintMatrixL2Norm()

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

optional double constraint_matrix_l2_norm = 25;

Parameters

value The constraintMatrixL2Norm to set.

Returns: This builder for chaining.

Definition at line 2408 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

value The constraintMatrixNumNonzeros to set.

Returns: This builder for chaining.

Definition at line 2208 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

value The constraintMatrixRowMinLInfNorm to set.

Returns: This builder for chaining.

Definition at line 2156 of file QuadraticProgramStats.java.

◆ setNumConstraints()

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

optional int64 num_constraints = 2;

Parameters

value The numConstraints to set.

Returns: This builder for chaining.

Definition at line 2052 of file QuadraticProgramStats.java.

◆ setNumVariables()

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

optional int64 num_variables = 1;

Parameters

value The numVariables to set.

Returns: This builder for chaining.

Definition at line 2012 of file QuadraticProgramStats.java.

◆ setObjectiveMatrixAbsAvg()

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

optional double objective_matrix_abs_avg = 22;

Parameters

value The objectiveMatrixAbsAvg to set.

Returns: This builder for chaining.

Definition at line 3408 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

value The objectiveMatrixAbsMax to set.

Returns: This builder for chaining.

Definition at line 3322 of file QuadraticProgramStats.java.

◆ setObjectiveMatrixAbsMin()

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

optional double objective_matrix_abs_min = 21;

Parameters

value The objectiveMatrixAbsMin to set.

Returns: This builder for chaining.

Definition at line 3368 of file QuadraticProgramStats.java.

◆ setObjectiveMatrixL2Norm()

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

optional double objective_matrix_l2_norm = 27;

Parameters

value The objectiveMatrixL2Norm to set.

Returns: This builder for chaining.

Definition at line 3448 of file QuadraticProgramStats.java.

◆ setObjectiveMatrixNumNonzeros()

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

optional int64 objective_matrix_num_nonzeros = 19;

Parameters

value The objectiveMatrixNumNonzeros to set.

Returns: This builder for chaining.

Definition at line 3264 of file QuadraticProgramStats.java.

◆ setObjectiveVectorAbsAvg()

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

optional double objective_vector_abs_avg = 18;

Parameters

value The objectiveVectorAbsAvg to set.

Returns: This builder for chaining.

Definition at line 3184 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

value The objectiveVectorAbsMax to set.

Returns: This builder for chaining.

Definition at line 3100 of file QuadraticProgramStats.java.

◆ setObjectiveVectorAbsMin()

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

optional double objective_vector_abs_min = 17;

Parameters

value The objectiveVectorAbsMin to set.

Returns: This builder for chaining.

Definition at line 3144 of file QuadraticProgramStats.java.

◆ setObjectiveVectorL2Norm()

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

optional double objective_vector_l2_norm = 23;

Parameters

value The objectiveVectorL2Norm to set.

Returns: This builder for chaining.

Definition at line 3224 of file QuadraticProgramStats.java.

◆ setVariableBoundGapsAvg()

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

optional double variable_bound_gaps_avg = 15;

Parameters

value The variableBoundGapsAvg to set.

Returns: This builder for chaining.

Definition at line 3008 of file QuadraticProgramStats.java.

◆ setVariableBoundGapsL2Norm()

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

optional double variable_bound_gaps_l2_norm = 26;

Parameters

value The variableBoundGapsL2Norm to set.

Returns: This builder for chaining.

Definition at line 3048 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

value The variableBoundGapsMax to set.

Returns: This builder for chaining.

Definition at line 2921 of file QuadraticProgramStats.java.

◆ setVariableBoundGapsMin()

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

optional double variable_bound_gaps_min = 14;

Parameters

value The variableBoundGapsMin to set.

Returns: This builder for chaining.

Definition at line 2968 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

value The variableBoundGapsNumFinite to set.

Returns: This builder for chaining.

Definition at line 2855 of file QuadraticProgramStats.java.

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

build/java/ortools-java/src/main/java/com/google/ortools/pdlp/QuadraticProgramStats.java

Detailed Description

Public Member Functions

Static Public Member Functions

Protected Member Functions

Member Function Documentation

◆ build()

◆ buildPartial()

◆ clear()

◆ clearCombinedBoundsAvg()

◆ clearCombinedBoundsL2Norm()

◆ clearCombinedBoundsMax()

◆ clearCombinedBoundsMin()

◆ clearCombinedVariableBoundsAvg()

◆ clearCombinedVariableBoundsL2Norm()

◆ clearCombinedVariableBoundsMax()

◆ clearCombinedVariableBoundsMin()

◆ clearConstraintMatrixAbsAvg()

◆ clearConstraintMatrixAbsMax()

◆ clearConstraintMatrixAbsMin()

◆ clearConstraintMatrixColMinLInfNorm()

◆ clearConstraintMatrixL2Norm()

◆ clearConstraintMatrixNumNonzeros()

◆ clearConstraintMatrixRowMinLInfNorm()

◆ clearNumConstraints()

◆ clearNumVariables()

◆ clearObjectiveMatrixAbsAvg()

◆ clearObjectiveMatrixAbsMax()

◆ clearObjectiveMatrixAbsMin()

◆ clearObjectiveMatrixL2Norm()

◆ clearObjectiveMatrixNumNonzeros()

◆ clearObjectiveVectorAbsAvg()

◆ clearObjectiveVectorAbsMax()

◆ clearObjectiveVectorAbsMin()

◆ clearObjectiveVectorL2Norm()

◆ clearVariableBoundGapsAvg()

◆ clearVariableBoundGapsL2Norm()

◆ clearVariableBoundGapsMax()

◆ clearVariableBoundGapsMin()

◆ clearVariableBoundGapsNumFinite()

◆ getCombinedBoundsAvg()

◆ getCombinedBoundsL2Norm()

◆ getCombinedBoundsMax()

◆ getCombinedBoundsMin()

◆ getCombinedVariableBoundsAvg()

◆ getCombinedVariableBoundsL2Norm()

◆ getCombinedVariableBoundsMax()

◆ getCombinedVariableBoundsMin()

◆ getConstraintMatrixAbsAvg()

◆ getConstraintMatrixAbsMax()

◆ getConstraintMatrixAbsMin()

◆ getConstraintMatrixColMinLInfNorm()

◆ getConstraintMatrixL2Norm()

◆ getConstraintMatrixNumNonzeros()

◆ getConstraintMatrixRowMinLInfNorm()

◆ getDefaultInstanceForType()

◆ getDescriptor()

◆ getDescriptorForType()

◆ getNumConstraints()

◆ getNumVariables()

◆ getObjectiveMatrixAbsAvg()

◆ getObjectiveMatrixAbsMax()

◆ getObjectiveMatrixAbsMin()

◆ getObjectiveMatrixL2Norm()

◆ getObjectiveMatrixNumNonzeros()

◆ getObjectiveVectorAbsAvg()

◆ getObjectiveVectorAbsMax()

◆ getObjectiveVectorAbsMin()

◆ getObjectiveVectorL2Norm()

◆ getVariableBoundGapsAvg()

◆ getVariableBoundGapsL2Norm()

◆ getVariableBoundGapsMax()

◆ getVariableBoundGapsMin()

◆ getVariableBoundGapsNumFinite()

◆ hasCombinedBoundsAvg()

◆ hasCombinedBoundsL2Norm()

◆ hasCombinedBoundsMax()

◆ hasCombinedBoundsMin()

◆ hasCombinedVariableBoundsAvg()

◆ hasCombinedVariableBoundsL2Norm()

◆ hasCombinedVariableBoundsMax()