operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder Class Reference

Inheritance diagram for operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder:

Public Member Functions
Builder	clear ()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType ()
operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats	getDefaultInstanceForType ()
operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats	build ()
operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats	buildPartial ()
Builder	clone ()
Builder	setField (com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value)
Builder	clearField (com.google.protobuf.Descriptors.FieldDescriptor field)
Builder	clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
Builder	setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value)
Builder	addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value)
Builder	mergeFrom (com.google.protobuf.Message other)
Builder	mergeFrom (operations_research.pdlp.SolveLogOuterClass.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 ()
final Builder	setUnknownFields (final com.google.protobuf.UnknownFieldSet unknownFields)
final Builder	mergeUnknownFields (final com.google.protobuf.UnknownFieldSet unknownFields)

Static Public Member Functions
static final com.google.protobuf.Descriptors.Descriptor	getDescriptor ()

Protected Member Functions
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable ()

Detailed Description

Easy-to-compute statistics for the quadratic program.

Protobuf type operations_research.pdlp.QuadraticProgramStats

Definition at line 2641 of file SolveLogOuterClass.java.

Member Function Documentation

addRepeatedField()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.addRepeatedField	(	com.google.protobuf.Descriptors.FieldDescriptor	field,
		java.lang.Object	value )

Definition at line 2891 of file SolveLogOuterClass.java.

build()

operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.build

(

)

Definition at line 2718 of file SolveLogOuterClass.java.

buildPartial()

operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.buildPartial

(

)

Definition at line 2727 of file SolveLogOuterClass.java.

clear()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.clear

(

)

Definition at line 2669 of file SolveLogOuterClass.java.

clearCombinedBoundsAvg()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.clearCombinedBoundsAvg

(

)

optional double combined_bounds_avg = 11;

Returns

This builder for chaining.

Definition at line 3788 of file SolveLogOuterClass.java.

clearCombinedBoundsL2Norm()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.clearCombinedBoundsL2Norm

(

)

optional double combined_bounds_l2_norm = 24;

Returns

This builder for chaining.

Definition at line 3828 of file SolveLogOuterClass.java.

clearCombinedBoundsMax()

Builder operations_research.pdlp.SolveLogOuterClass.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 3708 of file SolveLogOuterClass.java.

clearCombinedBoundsMin()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.clearCombinedBoundsMin

(

)

optional double combined_bounds_min = 10;

Returns

This builder for chaining.

Definition at line 3748 of file SolveLogOuterClass.java.

clearCombinedVariableBoundsAvg()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.clearCombinedVariableBoundsAvg

(

)

optional double combined_variable_bounds_avg = 30;

Returns

This builder for chaining.

Definition at line 3980 of file SolveLogOuterClass.java.

clearCombinedVariableBoundsL2Norm()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.clearCombinedVariableBoundsL2Norm

(

)

optional double combined_variable_bounds_l2_norm = 31;

Returns

This builder for chaining.

Definition at line 4020 of file SolveLogOuterClass.java.

clearCombinedVariableBoundsMax()

Builder operations_research.pdlp.SolveLogOuterClass.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 3900 of file SolveLogOuterClass.java.

clearCombinedVariableBoundsMin()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.clearCombinedVariableBoundsMin

(

)

optional double combined_variable_bounds_min = 29;

Returns

This builder for chaining.

Definition at line 3940 of file SolveLogOuterClass.java.

clearConstraintMatrixAbsAvg()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.clearConstraintMatrixAbsAvg

(

)

optional double constraint_matrix_abs_avg = 8;

Returns

This builder for chaining.

Definition at line 3588 of file SolveLogOuterClass.java.

clearConstraintMatrixAbsMax()

Builder operations_research.pdlp.SolveLogOuterClass.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 3508 of file SolveLogOuterClass.java.

clearConstraintMatrixAbsMin()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.clearConstraintMatrixAbsMin

(

)

optional double constraint_matrix_abs_min = 7;

Returns

This builder for chaining.

Definition at line 3548 of file SolveLogOuterClass.java.

clearConstraintMatrixColMinLInfNorm()

Builder operations_research.pdlp.SolveLogOuterClass.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 3336 of file SolveLogOuterClass.java.

clearConstraintMatrixL2Norm()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.clearConstraintMatrixL2Norm

(

)

optional double constraint_matrix_l2_norm = 25;

Returns

This builder for chaining.

Definition at line 3628 of file SolveLogOuterClass.java.

clearConstraintMatrixNumNonzeros()

Builder operations_research.pdlp.SolveLogOuterClass.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 3432 of file SolveLogOuterClass.java.

clearConstraintMatrixRowMinLInfNorm()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.clearConstraintMatrixRowMinLInfNorm

(

)

optional double constraint_matrix_row_min_l_inf_norm = 4;

Returns

This builder for chaining.

Definition at line 3376 of file SolveLogOuterClass.java.

clearField()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.clearField

(

com.google.protobuf.Descriptors.FieldDescriptor

field

)

Definition at line 2875 of file SolveLogOuterClass.java.

clearNumConstraints()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.clearNumConstraints

(

)

optional int64 num_constraints = 2;

Returns

This builder for chaining.

Definition at line 3272 of file SolveLogOuterClass.java.

clearNumVariables()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.clearNumVariables

(

)

optional int64 num_variables = 1;

Returns

This builder for chaining.

Definition at line 3232 of file SolveLogOuterClass.java.

clearObjectiveMatrixAbsAvg()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.clearObjectiveMatrixAbsAvg

(

)

optional double objective_matrix_abs_avg = 22;

Returns

This builder for chaining.

Definition at line 4628 of file SolveLogOuterClass.java.

clearObjectiveMatrixAbsMax()

Builder operations_research.pdlp.SolveLogOuterClass.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 4548 of file SolveLogOuterClass.java.

clearObjectiveMatrixAbsMin()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.clearObjectiveMatrixAbsMin

(

)

optional double objective_matrix_abs_min = 21;

Returns

This builder for chaining.

Definition at line 4588 of file SolveLogOuterClass.java.

clearObjectiveMatrixL2Norm()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.clearObjectiveMatrixL2Norm

(

)

optional double objective_matrix_l2_norm = 27;

Returns

This builder for chaining.

Definition at line 4668 of file SolveLogOuterClass.java.

clearObjectiveMatrixNumNonzeros()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.clearObjectiveMatrixNumNonzeros

(

)

optional int64 objective_matrix_num_nonzeros = 19;

Returns

This builder for chaining.

Definition at line 4484 of file SolveLogOuterClass.java.

clearObjectiveVectorAbsAvg()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.clearObjectiveVectorAbsAvg

(

)

optional double objective_vector_abs_avg = 18;

Returns

This builder for chaining.

Definition at line 4404 of file SolveLogOuterClass.java.

clearObjectiveVectorAbsMax()

Builder operations_research.pdlp.SolveLogOuterClass.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 4324 of file SolveLogOuterClass.java.

clearObjectiveVectorAbsMin()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.clearObjectiveVectorAbsMin

(

)

optional double objective_vector_abs_min = 17;

Returns

This builder for chaining.

Definition at line 4364 of file SolveLogOuterClass.java.

clearObjectiveVectorL2Norm()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.clearObjectiveVectorL2Norm

(

)

optional double objective_vector_l2_norm = 23;

Returns

This builder for chaining.

Definition at line 4444 of file SolveLogOuterClass.java.

clearOneof()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.clearOneof

(

com.google.protobuf.Descriptors.OneofDescriptor

oneof

)

Definition at line 2880 of file SolveLogOuterClass.java.

clearVariableBoundGapsAvg()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.clearVariableBoundGapsAvg

(

)

optional double variable_bound_gaps_avg = 15;

Returns

This builder for chaining.

Definition at line 4228 of file SolveLogOuterClass.java.

clearVariableBoundGapsL2Norm()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.clearVariableBoundGapsL2Norm

(

)

optional double variable_bound_gaps_l2_norm = 26;

Returns

This builder for chaining.

Definition at line 4268 of file SolveLogOuterClass.java.

clearVariableBoundGapsMax()

Builder operations_research.pdlp.SolveLogOuterClass.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 4148 of file SolveLogOuterClass.java.

clearVariableBoundGapsMin()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.clearVariableBoundGapsMin

(

)

optional double variable_bound_gaps_min = 14;

Returns

This builder for chaining.

Definition at line 4188 of file SolveLogOuterClass.java.

clearVariableBoundGapsNumFinite()

Builder operations_research.pdlp.SolveLogOuterClass.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 4080 of file SolveLogOuterClass.java.

clone()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.clone

(

)

Definition at line 2865 of file SolveLogOuterClass.java.

getCombinedBoundsAvg()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.getCombinedBoundsAvg

(

)

optional double combined_bounds_avg = 11;

Returns

The combinedBoundsAvg.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3769 of file SolveLogOuterClass.java.

getCombinedBoundsL2Norm()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.getCombinedBoundsL2Norm

(

)

optional double combined_bounds_l2_norm = 24;

Returns

The combinedBoundsL2Norm.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3809 of file SolveLogOuterClass.java.

getCombinedBoundsMax()

double operations_research.pdlp.SolveLogOuterClass.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 operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3669 of file SolveLogOuterClass.java.

getCombinedBoundsMin()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.getCombinedBoundsMin

(

)

optional double combined_bounds_min = 10;

Returns

The combinedBoundsMin.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3729 of file SolveLogOuterClass.java.

getCombinedVariableBoundsAvg()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.getCombinedVariableBoundsAvg

(

)

optional double combined_variable_bounds_avg = 30;

Returns

The combinedVariableBoundsAvg.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3961 of file SolveLogOuterClass.java.

getCombinedVariableBoundsL2Norm()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.getCombinedVariableBoundsL2Norm

(

)

optional double combined_variable_bounds_l2_norm = 31;

Returns

The combinedVariableBoundsL2Norm.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 4001 of file SolveLogOuterClass.java.

getCombinedVariableBoundsMax()

double operations_research.pdlp.SolveLogOuterClass.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 operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3865 of file SolveLogOuterClass.java.

getCombinedVariableBoundsMin()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.getCombinedVariableBoundsMin

(

)

optional double combined_variable_bounds_min = 29;

Returns

The combinedVariableBoundsMin.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3921 of file SolveLogOuterClass.java.

getConstraintMatrixAbsAvg()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.getConstraintMatrixAbsAvg

(

)

optional double constraint_matrix_abs_avg = 8;

Returns

The constraintMatrixAbsAvg.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3569 of file SolveLogOuterClass.java.

getConstraintMatrixAbsMax()

double operations_research.pdlp.SolveLogOuterClass.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 operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3471 of file SolveLogOuterClass.java.

getConstraintMatrixAbsMin()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.getConstraintMatrixAbsMin

(

)

optional double constraint_matrix_abs_min = 7;

Returns

The constraintMatrixAbsMin.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3529 of file SolveLogOuterClass.java.

getConstraintMatrixColMinLInfNorm()

double operations_research.pdlp.SolveLogOuterClass.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 operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3305 of file SolveLogOuterClass.java.

getConstraintMatrixL2Norm()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.getConstraintMatrixL2Norm

(

)

optional double constraint_matrix_l2_norm = 25;

Returns

The constraintMatrixL2Norm.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3609 of file SolveLogOuterClass.java.

getConstraintMatrixNumNonzeros()

long operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.getConstraintMatrixNumNonzeros

(

)

The number of (finite) nonzero entries in the constraint matrix.

optional int64 constraint_matrix_num_nonzeros = 5;

Returns

The constraintMatrixNumNonzeros.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3405 of file SolveLogOuterClass.java.

getConstraintMatrixRowMinLInfNorm()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.getConstraintMatrixRowMinLInfNorm

(

)

optional double constraint_matrix_row_min_l_inf_norm = 4;

Returns

The constraintMatrixRowMinLInfNorm.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3357 of file SolveLogOuterClass.java.

getDefaultInstanceForType()

operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.getDefaultInstanceForType

(

)

Definition at line 2713 of file SolveLogOuterClass.java.

getDescriptor()

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

static

Definition at line 2646 of file SolveLogOuterClass.java.

getDescriptorForType()

com.google.protobuf.Descriptors.Descriptor operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.getDescriptorForType

(

)

Definition at line 2708 of file SolveLogOuterClass.java.

getNumConstraints()

long operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.getNumConstraints

(

)

optional int64 num_constraints = 2;

Returns

The numConstraints.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3253 of file SolveLogOuterClass.java.

getNumVariables()

long operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.getNumVariables

(

)

optional int64 num_variables = 1;

Returns

The numVariables.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3213 of file SolveLogOuterClass.java.

getObjectiveMatrixAbsAvg()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.getObjectiveMatrixAbsAvg

(

)

optional double objective_matrix_abs_avg = 22;

Returns

The objectiveMatrixAbsAvg.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 4609 of file SolveLogOuterClass.java.

getObjectiveMatrixAbsMax()

double operations_research.pdlp.SolveLogOuterClass.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 operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 4517 of file SolveLogOuterClass.java.

getObjectiveMatrixAbsMin()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.getObjectiveMatrixAbsMin

(

)

optional double objective_matrix_abs_min = 21;

Returns

The objectiveMatrixAbsMin.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 4569 of file SolveLogOuterClass.java.

getObjectiveMatrixL2Norm()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.getObjectiveMatrixL2Norm

(

)

optional double objective_matrix_l2_norm = 27;

Returns

The objectiveMatrixL2Norm.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 4649 of file SolveLogOuterClass.java.

getObjectiveMatrixNumNonzeros()

long operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.getObjectiveMatrixNumNonzeros

(

)

optional int64 objective_matrix_num_nonzeros = 19;

Returns

The objectiveMatrixNumNonzeros.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 4465 of file SolveLogOuterClass.java.

getObjectiveVectorAbsAvg()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.getObjectiveVectorAbsAvg

(

)

optional double objective_vector_abs_avg = 18;

Returns

The objectiveVectorAbsAvg.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 4385 of file SolveLogOuterClass.java.

getObjectiveVectorAbsMax()

double operations_research.pdlp.SolveLogOuterClass.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 operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 4297 of file SolveLogOuterClass.java.

getObjectiveVectorAbsMin()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.getObjectiveVectorAbsMin

(

)

optional double objective_vector_abs_min = 17;

Returns

The objectiveVectorAbsMin.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 4345 of file SolveLogOuterClass.java.

getObjectiveVectorL2Norm()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.getObjectiveVectorL2Norm

(

)

optional double objective_vector_l2_norm = 23;

Returns

The objectiveVectorL2Norm.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 4425 of file SolveLogOuterClass.java.

getVariableBoundGapsAvg()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.getVariableBoundGapsAvg

(

)

optional double variable_bound_gaps_avg = 15;

Returns

The variableBoundGapsAvg.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 4209 of file SolveLogOuterClass.java.

getVariableBoundGapsL2Norm()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.getVariableBoundGapsL2Norm

(

)

optional double variable_bound_gaps_l2_norm = 26;

Returns

The variableBoundGapsL2Norm.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 4249 of file SolveLogOuterClass.java.

getVariableBoundGapsMax()

double operations_research.pdlp.SolveLogOuterClass.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 operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 4115 of file SolveLogOuterClass.java.

getVariableBoundGapsMin()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.getVariableBoundGapsMin

(

)

optional double variable_bound_gaps_min = 14;

Returns

The variableBoundGapsMin.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 4169 of file SolveLogOuterClass.java.

getVariableBoundGapsNumFinite()

long operations_research.pdlp.SolveLogOuterClass.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 operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 4051 of file SolveLogOuterClass.java.

hasCombinedBoundsAvg()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.hasCombinedBoundsAvg

(

)

optional double combined_bounds_avg = 11;

Returns

Whether the combinedBoundsAvg field is set.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3761 of file SolveLogOuterClass.java.

hasCombinedBoundsL2Norm()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.hasCombinedBoundsL2Norm

(

)

optional double combined_bounds_l2_norm = 24;

Returns

Whether the combinedBoundsL2Norm field is set.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3801 of file SolveLogOuterClass.java.

hasCombinedBoundsMax()

boolean operations_research.pdlp.SolveLogOuterClass.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 operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3651 of file SolveLogOuterClass.java.

hasCombinedBoundsMin()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.hasCombinedBoundsMin

(

)

optional double combined_bounds_min = 10;

Returns

Whether the combinedBoundsMin field is set.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3721 of file SolveLogOuterClass.java.

hasCombinedVariableBoundsAvg()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.hasCombinedVariableBoundsAvg

(

)

optional double combined_variable_bounds_avg = 30;

Returns

Whether the combinedVariableBoundsAvg field is set.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3953 of file SolveLogOuterClass.java.

hasCombinedVariableBoundsL2Norm()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.hasCombinedVariableBoundsL2Norm

(

)

optional double combined_variable_bounds_l2_norm = 31;

Returns

Whether the combinedVariableBoundsL2Norm field is set.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3993 of file SolveLogOuterClass.java.

hasCombinedVariableBoundsMax()

boolean operations_research.pdlp.SolveLogOuterClass.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 operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3849 of file SolveLogOuterClass.java.

hasCombinedVariableBoundsMin()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.hasCombinedVariableBoundsMin

(

)

optional double combined_variable_bounds_min = 29;

Returns

Whether the combinedVariableBoundsMin field is set.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3913 of file SolveLogOuterClass.java.

hasConstraintMatrixAbsAvg()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.hasConstraintMatrixAbsAvg

(

)

optional double constraint_matrix_abs_avg = 8;

Returns

Whether the constraintMatrixAbsAvg field is set.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3561 of file SolveLogOuterClass.java.

hasConstraintMatrixAbsMax()

boolean operations_research.pdlp.SolveLogOuterClass.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 operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3454 of file SolveLogOuterClass.java.

hasConstraintMatrixAbsMin()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.hasConstraintMatrixAbsMin

(

)

optional double constraint_matrix_abs_min = 7;

Returns

Whether the constraintMatrixAbsMin field is set.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3521 of file SolveLogOuterClass.java.

hasConstraintMatrixColMinLInfNorm()

boolean operations_research.pdlp.SolveLogOuterClass.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 operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3291 of file SolveLogOuterClass.java.

hasConstraintMatrixL2Norm()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.hasConstraintMatrixL2Norm

(

)

optional double constraint_matrix_l2_norm = 25;

Returns

Whether the constraintMatrixL2Norm field is set.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3601 of file SolveLogOuterClass.java.

hasConstraintMatrixNumNonzeros()

boolean operations_research.pdlp.SolveLogOuterClass.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 operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3393 of file SolveLogOuterClass.java.

hasConstraintMatrixRowMinLInfNorm()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.hasConstraintMatrixRowMinLInfNorm

(

)

optional double constraint_matrix_row_min_l_inf_norm = 4;

Returns

Whether the constraintMatrixRowMinLInfNorm field is set.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3349 of file SolveLogOuterClass.java.

hasNumConstraints()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.hasNumConstraints

(

)

optional int64 num_constraints = 2;

Returns

Whether the numConstraints field is set.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3245 of file SolveLogOuterClass.java.

hasNumVariables()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.hasNumVariables

(

)

optional int64 num_variables = 1;

Returns

Whether the numVariables field is set.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 3205 of file SolveLogOuterClass.java.

hasObjectiveMatrixAbsAvg()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.hasObjectiveMatrixAbsAvg

(

)

optional double objective_matrix_abs_avg = 22;

Returns

Whether the objectiveMatrixAbsAvg field is set.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 4601 of file SolveLogOuterClass.java.

hasObjectiveMatrixAbsMax()

boolean operations_research.pdlp.SolveLogOuterClass.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 operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 4503 of file SolveLogOuterClass.java.

hasObjectiveMatrixAbsMin()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.hasObjectiveMatrixAbsMin

(

)

optional double objective_matrix_abs_min = 21;

Returns

Whether the objectiveMatrixAbsMin field is set.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 4561 of file SolveLogOuterClass.java.

hasObjectiveMatrixL2Norm()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.hasObjectiveMatrixL2Norm

(

)

optional double objective_matrix_l2_norm = 27;

Returns

Whether the objectiveMatrixL2Norm field is set.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 4641 of file SolveLogOuterClass.java.

hasObjectiveMatrixNumNonzeros()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.hasObjectiveMatrixNumNonzeros

(

)

optional int64 objective_matrix_num_nonzeros = 19;

Returns

Whether the objectiveMatrixNumNonzeros field is set.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 4457 of file SolveLogOuterClass.java.

hasObjectiveVectorAbsAvg()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.hasObjectiveVectorAbsAvg

(

)

optional double objective_vector_abs_avg = 18;

Returns

Whether the objectiveVectorAbsAvg field is set.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 4377 of file SolveLogOuterClass.java.

hasObjectiveVectorAbsMax()

boolean operations_research.pdlp.SolveLogOuterClass.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 operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 4285 of file SolveLogOuterClass.java.

hasObjectiveVectorAbsMin()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.hasObjectiveVectorAbsMin

(

)

optional double objective_vector_abs_min = 17;

Returns

Whether the objectiveVectorAbsMin field is set.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 4337 of file SolveLogOuterClass.java.

hasObjectiveVectorL2Norm()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.hasObjectiveVectorL2Norm

(

)

optional double objective_vector_l2_norm = 23;

Returns

Whether the objectiveVectorL2Norm field is set.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 4417 of file SolveLogOuterClass.java.

hasVariableBoundGapsAvg()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.hasVariableBoundGapsAvg

(

)

optional double variable_bound_gaps_avg = 15;

Returns

Whether the variableBoundGapsAvg field is set.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 4201 of file SolveLogOuterClass.java.

hasVariableBoundGapsL2Norm()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.hasVariableBoundGapsL2Norm

(

)

optional double variable_bound_gaps_l2_norm = 26;

Returns

Whether the variableBoundGapsL2Norm field is set.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 4241 of file SolveLogOuterClass.java.

hasVariableBoundGapsMax()

boolean operations_research.pdlp.SolveLogOuterClass.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 operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 4100 of file SolveLogOuterClass.java.

hasVariableBoundGapsMin()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.hasVariableBoundGapsMin

(

)

optional double variable_bound_gaps_min = 14;

Returns

Whether the variableBoundGapsMin field is set.

Implements operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 4161 of file SolveLogOuterClass.java.

hasVariableBoundGapsNumFinite()

boolean operations_research.pdlp.SolveLogOuterClass.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 operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.

Definition at line 4038 of file SolveLogOuterClass.java.

internalGetFieldAccessorTable()

com.google.protobuf.GeneratedMessageV3.FieldAccessorTable operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.internalGetFieldAccessorTable ( )

protected

Definition at line 2652 of file SolveLogOuterClass.java.

isInitialized()

final boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.isInitialized

(

)

Definition at line 3007 of file SolveLogOuterClass.java.

mergeFrom() [1/3]

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

Definition at line 3012 of file SolveLogOuterClass.java.

mergeFrom() [2/3]

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.mergeFrom

(

com.google.protobuf.Message

other

)

Definition at line 2897 of file SolveLogOuterClass.java.

mergeFrom() [3/3]

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.mergeFrom

(

operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats

other

)

Definition at line 2906 of file SolveLogOuterClass.java.

mergeUnknownFields()

final Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.mergeUnknownFields

(

final com.google.protobuf.UnknownFieldSet

unknownFields

)

Definition at line 4681 of file SolveLogOuterClass.java.

setCombinedBoundsAvg()

Builder operations_research.pdlp.SolveLogOuterClass.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 3777 of file SolveLogOuterClass.java.

setCombinedBoundsL2Norm()

Builder operations_research.pdlp.SolveLogOuterClass.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 3817 of file SolveLogOuterClass.java.

setCombinedBoundsMax()

Builder operations_research.pdlp.SolveLogOuterClass.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 3687 of file SolveLogOuterClass.java.

setCombinedBoundsMin()

Builder operations_research.pdlp.SolveLogOuterClass.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 3737 of file SolveLogOuterClass.java.

setCombinedVariableBoundsAvg()

Builder operations_research.pdlp.SolveLogOuterClass.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 3969 of file SolveLogOuterClass.java.

setCombinedVariableBoundsL2Norm()

Builder operations_research.pdlp.SolveLogOuterClass.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 4009 of file SolveLogOuterClass.java.

setCombinedVariableBoundsMax()

Builder operations_research.pdlp.SolveLogOuterClass.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 3881 of file SolveLogOuterClass.java.

setCombinedVariableBoundsMin()

Builder operations_research.pdlp.SolveLogOuterClass.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 3929 of file SolveLogOuterClass.java.

setConstraintMatrixAbsAvg()

Builder operations_research.pdlp.SolveLogOuterClass.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 3577 of file SolveLogOuterClass.java.

setConstraintMatrixAbsMax()

Builder operations_research.pdlp.SolveLogOuterClass.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 3488 of file SolveLogOuterClass.java.

setConstraintMatrixAbsMin()

Builder operations_research.pdlp.SolveLogOuterClass.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 3537 of file SolveLogOuterClass.java.

setConstraintMatrixColMinLInfNorm()

Builder operations_research.pdlp.SolveLogOuterClass.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 3319 of file SolveLogOuterClass.java.

setConstraintMatrixL2Norm()

Builder operations_research.pdlp.SolveLogOuterClass.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 3617 of file SolveLogOuterClass.java.

setConstraintMatrixNumNonzeros()

Builder operations_research.pdlp.SolveLogOuterClass.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 3417 of file SolveLogOuterClass.java.

setConstraintMatrixRowMinLInfNorm()

Builder operations_research.pdlp.SolveLogOuterClass.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 3365 of file SolveLogOuterClass.java.

setField()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.setField	(	com.google.protobuf.Descriptors.FieldDescriptor	field,
		java.lang.Object	value )

Definition at line 2869 of file SolveLogOuterClass.java.

setNumConstraints()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.setNumConstraints

(

long

value

)

optional int64 num_constraints = 2;

Parameters

value

The numConstraints to set.

Returns

This builder for chaining.

Definition at line 3261 of file SolveLogOuterClass.java.

setNumVariables()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.setNumVariables

(

long

value

)

optional int64 num_variables = 1;

Parameters

value

The numVariables to set.

Returns

This builder for chaining.

Definition at line 3221 of file SolveLogOuterClass.java.

setObjectiveMatrixAbsAvg()

Builder operations_research.pdlp.SolveLogOuterClass.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 4617 of file SolveLogOuterClass.java.

setObjectiveMatrixAbsMax()

Builder operations_research.pdlp.SolveLogOuterClass.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 4531 of file SolveLogOuterClass.java.

setObjectiveMatrixAbsMin()

Builder operations_research.pdlp.SolveLogOuterClass.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 4577 of file SolveLogOuterClass.java.

setObjectiveMatrixL2Norm()

Builder operations_research.pdlp.SolveLogOuterClass.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 4657 of file SolveLogOuterClass.java.

setObjectiveMatrixNumNonzeros()

Builder operations_research.pdlp.SolveLogOuterClass.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 4473 of file SolveLogOuterClass.java.

setObjectiveVectorAbsAvg()

Builder operations_research.pdlp.SolveLogOuterClass.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 4393 of file SolveLogOuterClass.java.

setObjectiveVectorAbsMax()

Builder operations_research.pdlp.SolveLogOuterClass.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 4309 of file SolveLogOuterClass.java.

setObjectiveVectorAbsMin()

Builder operations_research.pdlp.SolveLogOuterClass.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 4353 of file SolveLogOuterClass.java.

setObjectiveVectorL2Norm()

Builder operations_research.pdlp.SolveLogOuterClass.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 4433 of file SolveLogOuterClass.java.

setRepeatedField()

Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.setRepeatedField	(	com.google.protobuf.Descriptors.FieldDescriptor	field,
		int	index,
		java.lang.Object	value )

Definition at line 2885 of file SolveLogOuterClass.java.

setUnknownFields()

final Builder operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.setUnknownFields

(

final com.google.protobuf.UnknownFieldSet

unknownFields

)

Definition at line 4675 of file SolveLogOuterClass.java.

setVariableBoundGapsAvg()

Builder operations_research.pdlp.SolveLogOuterClass.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 4217 of file SolveLogOuterClass.java.

setVariableBoundGapsL2Norm()

Builder operations_research.pdlp.SolveLogOuterClass.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 4257 of file SolveLogOuterClass.java.

setVariableBoundGapsMax()

Builder operations_research.pdlp.SolveLogOuterClass.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 4130 of file SolveLogOuterClass.java.

setVariableBoundGapsMin()

Builder operations_research.pdlp.SolveLogOuterClass.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 4177 of file SolveLogOuterClass.java.

setVariableBoundGapsNumFinite()

Builder operations_research.pdlp.SolveLogOuterClass.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 4064 of file SolveLogOuterClass.java.

---

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

• build/java/ortools-java/src/main/java/operations_research/pdlp/SolveLogOuterClass.java