operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder Interface Reference

Inheritance diagram for operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder:

Public Member Functions
boolean	hasNumVariables ()
long	getNumVariables ()
boolean	hasNumConstraints ()
long	getNumConstraints ()
boolean	hasConstraintMatrixColMinLInfNorm ()
double	getConstraintMatrixColMinLInfNorm ()
boolean	hasConstraintMatrixRowMinLInfNorm ()
double	getConstraintMatrixRowMinLInfNorm ()
boolean	hasConstraintMatrixNumNonzeros ()
long	getConstraintMatrixNumNonzeros ()
boolean	hasConstraintMatrixAbsMax ()
double	getConstraintMatrixAbsMax ()
boolean	hasConstraintMatrixAbsMin ()
double	getConstraintMatrixAbsMin ()
boolean	hasConstraintMatrixAbsAvg ()
double	getConstraintMatrixAbsAvg ()
boolean	hasConstraintMatrixL2Norm ()
double	getConstraintMatrixL2Norm ()
boolean	hasCombinedBoundsMax ()
double	getCombinedBoundsMax ()
boolean	hasCombinedBoundsMin ()
double	getCombinedBoundsMin ()
boolean	hasCombinedBoundsAvg ()
double	getCombinedBoundsAvg ()
boolean	hasCombinedBoundsL2Norm ()
double	getCombinedBoundsL2Norm ()
boolean	hasCombinedVariableBoundsMax ()
double	getCombinedVariableBoundsMax ()
boolean	hasCombinedVariableBoundsMin ()
double	getCombinedVariableBoundsMin ()
boolean	hasCombinedVariableBoundsAvg ()
double	getCombinedVariableBoundsAvg ()
boolean	hasCombinedVariableBoundsL2Norm ()
double	getCombinedVariableBoundsL2Norm ()
boolean	hasVariableBoundGapsNumFinite ()
long	getVariableBoundGapsNumFinite ()
boolean	hasVariableBoundGapsMax ()
double	getVariableBoundGapsMax ()
boolean	hasVariableBoundGapsMin ()
double	getVariableBoundGapsMin ()
boolean	hasVariableBoundGapsAvg ()
double	getVariableBoundGapsAvg ()
boolean	hasVariableBoundGapsL2Norm ()
double	getVariableBoundGapsL2Norm ()
boolean	hasObjectiveVectorAbsMax ()
double	getObjectiveVectorAbsMax ()
boolean	hasObjectiveVectorAbsMin ()
double	getObjectiveVectorAbsMin ()
boolean	hasObjectiveVectorAbsAvg ()
double	getObjectiveVectorAbsAvg ()
boolean	hasObjectiveVectorL2Norm ()
double	getObjectiveVectorL2Norm ()
boolean	hasObjectiveMatrixNumNonzeros ()
long	getObjectiveMatrixNumNonzeros ()
boolean	hasObjectiveMatrixAbsMax ()
double	getObjectiveMatrixAbsMax ()
boolean	hasObjectiveMatrixAbsMin ()
double	getObjectiveMatrixAbsMin ()
boolean	hasObjectiveMatrixAbsAvg ()
double	getObjectiveMatrixAbsAvg ()
boolean	hasObjectiveMatrixL2Norm ()
double	getObjectiveMatrixL2Norm ()

Detailed Description

Definition at line 725 of file SolveLogOuterClass.java.

Member Function Documentation

getCombinedBoundsAvg()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.getCombinedBoundsAvg

(

)

optional double combined_bounds_avg = 11;

Returns

The combinedBoundsAvg.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getCombinedBoundsL2Norm()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.getCombinedBoundsL2Norm

(

)

optional double combined_bounds_l2_norm = 24;

Returns

The combinedBoundsL2Norm.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getCombinedBoundsMax()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.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.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getCombinedBoundsMin()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.getCombinedBoundsMin

(

)

optional double combined_bounds_min = 10;

Returns

The combinedBoundsMin.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getCombinedVariableBoundsAvg()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.getCombinedVariableBoundsAvg

(

)

optional double combined_variable_bounds_avg = 30;

Returns

The combinedVariableBoundsAvg.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getCombinedVariableBoundsL2Norm()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.getCombinedVariableBoundsL2Norm

(

)

optional double combined_variable_bounds_l2_norm = 31;

Returns

The combinedVariableBoundsL2Norm.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getCombinedVariableBoundsMax()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.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.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getCombinedVariableBoundsMin()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.getCombinedVariableBoundsMin

(

)

optional double combined_variable_bounds_min = 29;

Returns

The combinedVariableBoundsMin.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getConstraintMatrixAbsAvg()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.getConstraintMatrixAbsAvg

(

)

optional double constraint_matrix_abs_avg = 8;

Returns

The constraintMatrixAbsAvg.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getConstraintMatrixAbsMax()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.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.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getConstraintMatrixAbsMin()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.getConstraintMatrixAbsMin

(

)

optional double constraint_matrix_abs_min = 7;

Returns

The constraintMatrixAbsMin.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getConstraintMatrixColMinLInfNorm()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.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.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getConstraintMatrixL2Norm()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.getConstraintMatrixL2Norm

(

)

optional double constraint_matrix_l2_norm = 25;

Returns

The constraintMatrixL2Norm.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getConstraintMatrixNumNonzeros()

long operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.getConstraintMatrixNumNonzeros

(

)

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

optional int64 constraint_matrix_num_nonzeros = 5;

Returns

The constraintMatrixNumNonzeros.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getConstraintMatrixRowMinLInfNorm()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.getConstraintMatrixRowMinLInfNorm

(

)

optional double constraint_matrix_row_min_l_inf_norm = 4;

Returns

The constraintMatrixRowMinLInfNorm.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getNumConstraints()

long operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.getNumConstraints

(

)

optional int64 num_constraints = 2;

Returns

The numConstraints.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getNumVariables()

long operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.getNumVariables

(

)

optional int64 num_variables = 1;

Returns

The numVariables.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getObjectiveMatrixAbsAvg()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.getObjectiveMatrixAbsAvg

(

)

optional double objective_matrix_abs_avg = 22;

Returns

The objectiveMatrixAbsAvg.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getObjectiveMatrixAbsMax()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.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.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getObjectiveMatrixAbsMin()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.getObjectiveMatrixAbsMin

(

)

optional double objective_matrix_abs_min = 21;

Returns

The objectiveMatrixAbsMin.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getObjectiveMatrixL2Norm()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.getObjectiveMatrixL2Norm

(

)

optional double objective_matrix_l2_norm = 27;

Returns

The objectiveMatrixL2Norm.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getObjectiveMatrixNumNonzeros()

long operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.getObjectiveMatrixNumNonzeros

(

)

optional int64 objective_matrix_num_nonzeros = 19;

Returns

The objectiveMatrixNumNonzeros.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getObjectiveVectorAbsAvg()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.getObjectiveVectorAbsAvg

(

)

optional double objective_vector_abs_avg = 18;

Returns

The objectiveVectorAbsAvg.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getObjectiveVectorAbsMax()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.getObjectiveVectorAbsMax

(

)

Statistics of the objective vector. The min is over the nonzero terms.

optional double objective_vector_abs_max = 16;

Returns

The objectiveVectorAbsMax.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getObjectiveVectorAbsMin()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.getObjectiveVectorAbsMin

(

)

optional double objective_vector_abs_min = 17;

Returns

The objectiveVectorAbsMin.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getObjectiveVectorL2Norm()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.getObjectiveVectorL2Norm

(

)

optional double objective_vector_l2_norm = 23;

Returns

The objectiveVectorL2Norm.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getVariableBoundGapsAvg()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.getVariableBoundGapsAvg

(

)

optional double variable_bound_gaps_avg = 15;

Returns

The variableBoundGapsAvg.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getVariableBoundGapsL2Norm()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.getVariableBoundGapsL2Norm

(

)

optional double variable_bound_gaps_l2_norm = 26;

Returns

The variableBoundGapsL2Norm.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getVariableBoundGapsMax()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.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.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getVariableBoundGapsMin()

double operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.getVariableBoundGapsMin

(

)

optional double variable_bound_gaps_min = 14;

Returns

The variableBoundGapsMin.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

getVariableBoundGapsNumFinite()

long operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.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.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasCombinedBoundsAvg()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.hasCombinedBoundsAvg

(

)

optional double combined_bounds_avg = 11;

Returns

Whether the combinedBoundsAvg field is set.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasCombinedBoundsL2Norm()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.hasCombinedBoundsL2Norm

(

)

optional double combined_bounds_l2_norm = 24;

Returns

Whether the combinedBoundsL2Norm field is set.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasCombinedBoundsMax()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.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.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasCombinedBoundsMin()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.hasCombinedBoundsMin

(

)

optional double combined_bounds_min = 10;

Returns

Whether the combinedBoundsMin field is set.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasCombinedVariableBoundsAvg()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.hasCombinedVariableBoundsAvg

(

)

optional double combined_variable_bounds_avg = 30;

Returns

Whether the combinedVariableBoundsAvg field is set.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasCombinedVariableBoundsL2Norm()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.hasCombinedVariableBoundsL2Norm

(

)

optional double combined_variable_bounds_l2_norm = 31;

Returns

Whether the combinedVariableBoundsL2Norm field is set.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasCombinedVariableBoundsMax()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.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.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasCombinedVariableBoundsMin()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.hasCombinedVariableBoundsMin

(

)

optional double combined_variable_bounds_min = 29;

Returns

Whether the combinedVariableBoundsMin field is set.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasConstraintMatrixAbsAvg()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.hasConstraintMatrixAbsAvg

(

)

optional double constraint_matrix_abs_avg = 8;

Returns

Whether the constraintMatrixAbsAvg field is set.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasConstraintMatrixAbsMax()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.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.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasConstraintMatrixAbsMin()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.hasConstraintMatrixAbsMin

(

)

optional double constraint_matrix_abs_min = 7;

Returns

Whether the constraintMatrixAbsMin field is set.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasConstraintMatrixColMinLInfNorm()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.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.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasConstraintMatrixL2Norm()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.hasConstraintMatrixL2Norm

(

)

optional double constraint_matrix_l2_norm = 25;

Returns

Whether the constraintMatrixL2Norm field is set.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasConstraintMatrixNumNonzeros()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.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.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasConstraintMatrixRowMinLInfNorm()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.hasConstraintMatrixRowMinLInfNorm

(

)

optional double constraint_matrix_row_min_l_inf_norm = 4;

Returns

Whether the constraintMatrixRowMinLInfNorm field is set.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasNumConstraints()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.hasNumConstraints

(

)

optional int64 num_constraints = 2;

Returns

Whether the numConstraints field is set.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasNumVariables()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.hasNumVariables

(

)

optional int64 num_variables = 1;

Returns

Whether the numVariables field is set.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasObjectiveMatrixAbsAvg()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.hasObjectiveMatrixAbsAvg

(

)

optional double objective_matrix_abs_avg = 22;

Returns

Whether the objectiveMatrixAbsAvg field is set.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasObjectiveMatrixAbsMax()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.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.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasObjectiveMatrixAbsMin()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.hasObjectiveMatrixAbsMin

(

)

optional double objective_matrix_abs_min = 21;

Returns

Whether the objectiveMatrixAbsMin field is set.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasObjectiveMatrixL2Norm()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.hasObjectiveMatrixL2Norm

(

)

optional double objective_matrix_l2_norm = 27;

Returns

Whether the objectiveMatrixL2Norm field is set.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasObjectiveMatrixNumNonzeros()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.hasObjectiveMatrixNumNonzeros

(

)

optional int64 objective_matrix_num_nonzeros = 19;

Returns

Whether the objectiveMatrixNumNonzeros field is set.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasObjectiveVectorAbsAvg()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.hasObjectiveVectorAbsAvg

(

)

optional double objective_vector_abs_avg = 18;

Returns

Whether the objectiveVectorAbsAvg field is set.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasObjectiveVectorAbsMax()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.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.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasObjectiveVectorAbsMin()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.hasObjectiveVectorAbsMin

(

)

optional double objective_vector_abs_min = 17;

Returns

Whether the objectiveVectorAbsMin field is set.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasObjectiveVectorL2Norm()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.hasObjectiveVectorL2Norm

(

)

optional double objective_vector_l2_norm = 23;

Returns

Whether the objectiveVectorL2Norm field is set.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasVariableBoundGapsAvg()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.hasVariableBoundGapsAvg

(

)

optional double variable_bound_gaps_avg = 15;

Returns

Whether the variableBoundGapsAvg field is set.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasVariableBoundGapsL2Norm()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.hasVariableBoundGapsL2Norm

(

)

optional double variable_bound_gaps_l2_norm = 26;

Returns

Whether the variableBoundGapsL2Norm field is set.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasVariableBoundGapsMax()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.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.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasVariableBoundGapsMin()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.hasVariableBoundGapsMin

(

)

optional double variable_bound_gaps_min = 14;

Returns

Whether the variableBoundGapsMin field is set.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

hasVariableBoundGapsNumFinite()

boolean operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStatsOrBuilder.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.

Implemented in operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats, and operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder.

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

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