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

Public Member Functions

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

Static Public Member Functions

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

Protected Member Functions

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

Detailed Description

Easy-to-compute statistics for the quadratic program.

Protobuf type operations_research.pdlp.QuadraticProgramStats

Definition at line 1462 of file QuadraticProgramStats.java.

Member Function Documentation

◆ build()

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

Definition at line 1539 of file QuadraticProgramStats.java.

◆ buildPartial()

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

Definition at line 1548 of file QuadraticProgramStats.java.

◆ clear()

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

Definition at line 1490 of file QuadraticProgramStats.java.

◆ clearCombinedBoundsAvg()

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

optional double combined_bounds_avg = 11;

Returns
This builder for chaining.

Definition at line 2577 of file QuadraticProgramStats.java.

◆ clearCombinedBoundsL2Norm()

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

optional double combined_bounds_l2_norm = 24;

Returns
This builder for chaining.

Definition at line 2617 of file QuadraticProgramStats.java.

◆ clearCombinedBoundsMax()

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

optional double combined_bounds_max = 9;

Returns
This builder for chaining.

Definition at line 2497 of file QuadraticProgramStats.java.

◆ clearCombinedBoundsMin()

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

optional double combined_bounds_min = 10;

Returns
This builder for chaining.

Definition at line 2537 of file QuadraticProgramStats.java.

◆ clearCombinedVariableBoundsAvg()

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

optional double combined_variable_bounds_avg = 30;

Returns
This builder for chaining.

Definition at line 2769 of file QuadraticProgramStats.java.

◆ clearCombinedVariableBoundsL2Norm()

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

optional double combined_variable_bounds_l2_norm = 31;

Returns
This builder for chaining.

Definition at line 2809 of file QuadraticProgramStats.java.

◆ clearCombinedVariableBoundsMax()

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

optional double combined_variable_bounds_max = 28;

Returns
This builder for chaining.

Definition at line 2689 of file QuadraticProgramStats.java.

◆ clearCombinedVariableBoundsMin()

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

optional double combined_variable_bounds_min = 29;

Returns
This builder for chaining.

Definition at line 2729 of file QuadraticProgramStats.java.

◆ clearConstraintMatrixAbsAvg()

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

optional double constraint_matrix_abs_avg = 8;

Returns
This builder for chaining.

Definition at line 2377 of file QuadraticProgramStats.java.

◆ clearConstraintMatrixAbsMax()

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

optional double constraint_matrix_abs_max = 6;

Returns
This builder for chaining.

Definition at line 2297 of file QuadraticProgramStats.java.

◆ clearConstraintMatrixAbsMin()

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

optional double constraint_matrix_abs_min = 7;

Returns
This builder for chaining.

Definition at line 2337 of file QuadraticProgramStats.java.

◆ clearConstraintMatrixColMinLInfNorm()

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

optional double constraint_matrix_col_min_l_inf_norm = 3;

Returns
This builder for chaining.

Definition at line 2125 of file QuadraticProgramStats.java.

◆ clearConstraintMatrixL2Norm()

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

optional double constraint_matrix_l2_norm = 25;

Returns
This builder for chaining.

Definition at line 2417 of file QuadraticProgramStats.java.

◆ clearConstraintMatrixNumNonzeros()

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

optional int64 constraint_matrix_num_nonzeros = 5;

Returns
This builder for chaining.

Definition at line 2221 of file QuadraticProgramStats.java.

◆ clearConstraintMatrixRowMinLInfNorm()

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

optional double constraint_matrix_row_min_l_inf_norm = 4;

Returns
This builder for chaining.

Definition at line 2165 of file QuadraticProgramStats.java.

◆ clearNumConstraints()

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

optional int64 num_constraints = 2;

Returns
This builder for chaining.

Definition at line 2061 of file QuadraticProgramStats.java.

◆ clearNumVariables()

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

optional int64 num_variables = 1;

Returns
This builder for chaining.

Definition at line 2021 of file QuadraticProgramStats.java.

◆ clearObjectiveMatrixAbsAvg()

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

optional double objective_matrix_abs_avg = 22;

Returns
This builder for chaining.

Definition at line 3417 of file QuadraticProgramStats.java.

◆ clearObjectiveMatrixAbsMax()

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

optional double objective_matrix_abs_max = 20;

Returns
This builder for chaining.

Definition at line 3337 of file QuadraticProgramStats.java.

◆ clearObjectiveMatrixAbsMin()

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

optional double objective_matrix_abs_min = 21;

Returns
This builder for chaining.

Definition at line 3377 of file QuadraticProgramStats.java.

◆ clearObjectiveMatrixL2Norm()

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

optional double objective_matrix_l2_norm = 27;

Returns
This builder for chaining.

Definition at line 3457 of file QuadraticProgramStats.java.

◆ clearObjectiveMatrixNumNonzeros()

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

optional int64 objective_matrix_num_nonzeros = 19;

Returns
This builder for chaining.

Definition at line 3273 of file QuadraticProgramStats.java.

◆ clearObjectiveVectorAbsAvg()

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

optional double objective_vector_abs_avg = 18;

Returns
This builder for chaining.

Definition at line 3193 of file QuadraticProgramStats.java.

◆ clearObjectiveVectorAbsMax()

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

optional double objective_vector_abs_max = 16;

Returns
This builder for chaining.

Definition at line 3113 of file QuadraticProgramStats.java.

◆ clearObjectiveVectorAbsMin()

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

optional double objective_vector_abs_min = 17;

Returns
This builder for chaining.

Definition at line 3153 of file QuadraticProgramStats.java.

◆ clearObjectiveVectorL2Norm()

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

optional double objective_vector_l2_norm = 23;

Returns
This builder for chaining.

Definition at line 3233 of file QuadraticProgramStats.java.

◆ clearVariableBoundGapsAvg()

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

optional double variable_bound_gaps_avg = 15;

Returns
This builder for chaining.

Definition at line 3017 of file QuadraticProgramStats.java.

◆ clearVariableBoundGapsL2Norm()

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

optional double variable_bound_gaps_l2_norm = 26;

Returns
This builder for chaining.

Definition at line 3057 of file QuadraticProgramStats.java.

◆ clearVariableBoundGapsMax()

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

optional double variable_bound_gaps_max = 13;

Returns
This builder for chaining.

Definition at line 2937 of file QuadraticProgramStats.java.

◆ clearVariableBoundGapsMin()

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

optional double variable_bound_gaps_min = 14;

Returns
This builder for chaining.

Definition at line 2977 of file QuadraticProgramStats.java.

◆ clearVariableBoundGapsNumFinite()

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

optional int64 variable_bound_gaps_num_finite = 12;

Returns
This builder for chaining.

Definition at line 2869 of file QuadraticProgramStats.java.

◆ getCombinedBoundsAvg()

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

optional double combined_bounds_avg = 11;

Returns
The combinedBoundsAvg.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2558 of file QuadraticProgramStats.java.

◆ getCombinedBoundsL2Norm()

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

optional double combined_bounds_l2_norm = 24;

Returns
The combinedBoundsL2Norm.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2598 of file QuadraticProgramStats.java.

◆ getCombinedBoundsMax()

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

optional double combined_bounds_max = 9;

Returns
The combinedBoundsMax.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2458 of file QuadraticProgramStats.java.

◆ getCombinedBoundsMin()

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

optional double combined_bounds_min = 10;

Returns
The combinedBoundsMin.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2518 of file QuadraticProgramStats.java.

◆ getCombinedVariableBoundsAvg()

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

optional double combined_variable_bounds_avg = 30;

Returns
The combinedVariableBoundsAvg.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2750 of file QuadraticProgramStats.java.

◆ getCombinedVariableBoundsL2Norm()

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

optional double combined_variable_bounds_l2_norm = 31;

Returns
The combinedVariableBoundsL2Norm.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2790 of file QuadraticProgramStats.java.

◆ getCombinedVariableBoundsMax()

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

optional double combined_variable_bounds_max = 28;

Returns
The combinedVariableBoundsMax.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2654 of file QuadraticProgramStats.java.

◆ getCombinedVariableBoundsMin()

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

optional double combined_variable_bounds_min = 29;

Returns
The combinedVariableBoundsMin.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2710 of file QuadraticProgramStats.java.

◆ getConstraintMatrixAbsAvg()

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

optional double constraint_matrix_abs_avg = 8;

Returns
The constraintMatrixAbsAvg.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2358 of file QuadraticProgramStats.java.

◆ getConstraintMatrixAbsMax()

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

optional double constraint_matrix_abs_max = 6;

Returns
The constraintMatrixAbsMax.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2260 of file QuadraticProgramStats.java.

◆ getConstraintMatrixAbsMin()

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

optional double constraint_matrix_abs_min = 7;

Returns
The constraintMatrixAbsMin.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2318 of file QuadraticProgramStats.java.

◆ getConstraintMatrixColMinLInfNorm()

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

optional double constraint_matrix_col_min_l_inf_norm = 3;

Returns
The constraintMatrixColMinLInfNorm.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2094 of file QuadraticProgramStats.java.

◆ getConstraintMatrixL2Norm()

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

optional double constraint_matrix_l2_norm = 25;

Returns
The constraintMatrixL2Norm.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2398 of file QuadraticProgramStats.java.

◆ getConstraintMatrixNumNonzeros()

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

optional int64 constraint_matrix_num_nonzeros = 5;

Returns
The constraintMatrixNumNonzeros.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2194 of file QuadraticProgramStats.java.

◆ getConstraintMatrixRowMinLInfNorm()

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

optional double constraint_matrix_row_min_l_inf_norm = 4;

Returns
The constraintMatrixRowMinLInfNorm.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2146 of file QuadraticProgramStats.java.

◆ getDefaultInstanceForType()

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

Definition at line 1534 of file QuadraticProgramStats.java.

◆ getDescriptor()

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

Definition at line 1467 of file QuadraticProgramStats.java.

◆ getDescriptorForType()

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

Definition at line 1529 of file QuadraticProgramStats.java.

◆ getNumConstraints()

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

optional int64 num_constraints = 2;

Returns
The numConstraints.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2042 of file QuadraticProgramStats.java.

◆ getNumVariables()

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

optional int64 num_variables = 1;

Returns
The numVariables.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2002 of file QuadraticProgramStats.java.

◆ getObjectiveMatrixAbsAvg()

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

optional double objective_matrix_abs_avg = 22;

Returns
The objectiveMatrixAbsAvg.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3398 of file QuadraticProgramStats.java.

◆ getObjectiveMatrixAbsMax()

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

optional double objective_matrix_abs_max = 20;

Returns
The objectiveMatrixAbsMax.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3306 of file QuadraticProgramStats.java.

◆ getObjectiveMatrixAbsMin()

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

optional double objective_matrix_abs_min = 21;

Returns
The objectiveMatrixAbsMin.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3358 of file QuadraticProgramStats.java.

◆ getObjectiveMatrixL2Norm()

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

optional double objective_matrix_l2_norm = 27;

Returns
The objectiveMatrixL2Norm.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3438 of file QuadraticProgramStats.java.

◆ getObjectiveMatrixNumNonzeros()

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

optional int64 objective_matrix_num_nonzeros = 19;

Returns
The objectiveMatrixNumNonzeros.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3254 of file QuadraticProgramStats.java.

◆ getObjectiveVectorAbsAvg()

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

optional double objective_vector_abs_avg = 18;

Returns
The objectiveVectorAbsAvg.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3174 of file QuadraticProgramStats.java.

◆ getObjectiveVectorAbsMax()

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

optional double objective_vector_abs_max = 16;

Returns
The objectiveVectorAbsMax.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3086 of file QuadraticProgramStats.java.

◆ getObjectiveVectorAbsMin()

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

optional double objective_vector_abs_min = 17;

Returns
The objectiveVectorAbsMin.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3134 of file QuadraticProgramStats.java.

◆ getObjectiveVectorL2Norm()

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

optional double objective_vector_l2_norm = 23;

Returns
The objectiveVectorL2Norm.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3214 of file QuadraticProgramStats.java.

◆ getVariableBoundGapsAvg()

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

optional double variable_bound_gaps_avg = 15;

Returns
The variableBoundGapsAvg.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2998 of file QuadraticProgramStats.java.

◆ getVariableBoundGapsL2Norm()

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

optional double variable_bound_gaps_l2_norm = 26;

Returns
The variableBoundGapsL2Norm.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3038 of file QuadraticProgramStats.java.

◆ getVariableBoundGapsMax()

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

optional double variable_bound_gaps_max = 13;

Returns
The variableBoundGapsMax.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2904 of file QuadraticProgramStats.java.

◆ getVariableBoundGapsMin()

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

optional double variable_bound_gaps_min = 14;

Returns
The variableBoundGapsMin.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2958 of file QuadraticProgramStats.java.

◆ getVariableBoundGapsNumFinite()

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

optional int64 variable_bound_gaps_num_finite = 12;

Returns
The variableBoundGapsNumFinite.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2840 of file QuadraticProgramStats.java.

◆ hasCombinedBoundsAvg()

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

optional double combined_bounds_avg = 11;

Returns
Whether the combinedBoundsAvg field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2550 of file QuadraticProgramStats.java.

◆ hasCombinedBoundsL2Norm()

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

optional double combined_bounds_l2_norm = 24;

Returns
Whether the combinedBoundsL2Norm field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2590 of file QuadraticProgramStats.java.

◆ hasCombinedBoundsMax()

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

optional double combined_bounds_max = 9;

Returns
Whether the combinedBoundsMax field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2440 of file QuadraticProgramStats.java.

◆ hasCombinedBoundsMin()

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

optional double combined_bounds_min = 10;

Returns
Whether the combinedBoundsMin field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2510 of file QuadraticProgramStats.java.

◆ hasCombinedVariableBoundsAvg()

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

optional double combined_variable_bounds_avg = 30;

Returns
Whether the combinedVariableBoundsAvg field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2742 of file QuadraticProgramStats.java.

◆ hasCombinedVariableBoundsL2Norm()

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

optional double combined_variable_bounds_l2_norm = 31;

Returns
Whether the combinedVariableBoundsL2Norm field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2782 of file QuadraticProgramStats.java.

◆ hasCombinedVariableBoundsMax()

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

optional double combined_variable_bounds_max = 28;

Returns
Whether the combinedVariableBoundsMax field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2638 of file QuadraticProgramStats.java.

◆ hasCombinedVariableBoundsMin()

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

optional double combined_variable_bounds_min = 29;

Returns
Whether the combinedVariableBoundsMin field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2702 of file QuadraticProgramStats.java.

◆ hasConstraintMatrixAbsAvg()

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

optional double constraint_matrix_abs_avg = 8;

Returns
Whether the constraintMatrixAbsAvg field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2350 of file QuadraticProgramStats.java.

◆ hasConstraintMatrixAbsMax()

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

optional double constraint_matrix_abs_max = 6;

Returns
Whether the constraintMatrixAbsMax field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2243 of file QuadraticProgramStats.java.

◆ hasConstraintMatrixAbsMin()

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

optional double constraint_matrix_abs_min = 7;

Returns
Whether the constraintMatrixAbsMin field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2310 of file QuadraticProgramStats.java.

◆ hasConstraintMatrixColMinLInfNorm()

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

optional double constraint_matrix_col_min_l_inf_norm = 3;

Returns
Whether the constraintMatrixColMinLInfNorm field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2080 of file QuadraticProgramStats.java.

◆ hasConstraintMatrixL2Norm()

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

optional double constraint_matrix_l2_norm = 25;

Returns
Whether the constraintMatrixL2Norm field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2390 of file QuadraticProgramStats.java.

◆ hasConstraintMatrixNumNonzeros()

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

optional int64 constraint_matrix_num_nonzeros = 5;

Returns
Whether the constraintMatrixNumNonzeros field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2182 of file QuadraticProgramStats.java.

◆ hasConstraintMatrixRowMinLInfNorm()

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

optional double constraint_matrix_row_min_l_inf_norm = 4;

Returns
Whether the constraintMatrixRowMinLInfNorm field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2138 of file QuadraticProgramStats.java.

◆ hasNumConstraints()

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

optional int64 num_constraints = 2;

Returns
Whether the numConstraints field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2034 of file QuadraticProgramStats.java.

◆ hasNumVariables()

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

optional int64 num_variables = 1;

Returns
Whether the numVariables field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 1994 of file QuadraticProgramStats.java.

◆ hasObjectiveMatrixAbsAvg()

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

optional double objective_matrix_abs_avg = 22;

Returns
Whether the objectiveMatrixAbsAvg field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3390 of file QuadraticProgramStats.java.

◆ hasObjectiveMatrixAbsMax()

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

optional double objective_matrix_abs_max = 20;

Returns
Whether the objectiveMatrixAbsMax field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3292 of file QuadraticProgramStats.java.

◆ hasObjectiveMatrixAbsMin()

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

optional double objective_matrix_abs_min = 21;

Returns
Whether the objectiveMatrixAbsMin field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3350 of file QuadraticProgramStats.java.

◆ hasObjectiveMatrixL2Norm()

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

optional double objective_matrix_l2_norm = 27;

Returns
Whether the objectiveMatrixL2Norm field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3430 of file QuadraticProgramStats.java.

◆ hasObjectiveMatrixNumNonzeros()

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

optional int64 objective_matrix_num_nonzeros = 19;

Returns
Whether the objectiveMatrixNumNonzeros field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3246 of file QuadraticProgramStats.java.

◆ hasObjectiveVectorAbsAvg()

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

optional double objective_vector_abs_avg = 18;

Returns
Whether the objectiveVectorAbsAvg field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3166 of file QuadraticProgramStats.java.

◆ hasObjectiveVectorAbsMax()

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

optional double objective_vector_abs_max = 16;

Returns
Whether the objectiveVectorAbsMax field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3074 of file QuadraticProgramStats.java.

◆ hasObjectiveVectorAbsMin()

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

optional double objective_vector_abs_min = 17;

Returns
Whether the objectiveVectorAbsMin field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3126 of file QuadraticProgramStats.java.

◆ hasObjectiveVectorL2Norm()

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

optional double objective_vector_l2_norm = 23;

Returns
Whether the objectiveVectorL2Norm field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3206 of file QuadraticProgramStats.java.

◆ hasVariableBoundGapsAvg()

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

optional double variable_bound_gaps_avg = 15;

Returns
Whether the variableBoundGapsAvg field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2990 of file QuadraticProgramStats.java.

◆ hasVariableBoundGapsL2Norm()

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

optional double variable_bound_gaps_l2_norm = 26;

Returns
Whether the variableBoundGapsL2Norm field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 3030 of file QuadraticProgramStats.java.

◆ hasVariableBoundGapsMax()

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

optional double variable_bound_gaps_max = 13;

Returns
Whether the variableBoundGapsMax field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2889 of file QuadraticProgramStats.java.

◆ hasVariableBoundGapsMin()

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

optional double variable_bound_gaps_min = 14;

Returns
Whether the variableBoundGapsMin field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2950 of file QuadraticProgramStats.java.

◆ hasVariableBoundGapsNumFinite()

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

optional int64 variable_bound_gaps_num_finite = 12;

Returns
Whether the variableBoundGapsNumFinite field is set.

Implements com.google.ortools.pdlp.QuadraticProgramStatsOrBuilder.

Definition at line 2827 of file QuadraticProgramStats.java.

◆ internalGetFieldAccessorTable()

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

Definition at line 1473 of file QuadraticProgramStats.java.

◆ isInitialized()

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

Definition at line 1796 of file QuadraticProgramStats.java.

◆ mergeFrom() [1/3]

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

Definition at line 1695 of file QuadraticProgramStats.java.

◆ mergeFrom() [2/3]

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

Definition at line 1801 of file QuadraticProgramStats.java.

◆ mergeFrom() [3/3]

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

Definition at line 1686 of file QuadraticProgramStats.java.

◆ setCombinedBoundsAvg()

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

optional double combined_bounds_avg = 11;

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

Definition at line 2566 of file QuadraticProgramStats.java.

◆ setCombinedBoundsL2Norm()

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

optional double combined_bounds_l2_norm = 24;

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

Definition at line 2606 of file QuadraticProgramStats.java.

◆ setCombinedBoundsMax()

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

optional double combined_bounds_max = 9;

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

Definition at line 2476 of file QuadraticProgramStats.java.

◆ setCombinedBoundsMin()

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

optional double combined_bounds_min = 10;

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

Definition at line 2526 of file QuadraticProgramStats.java.

◆ setCombinedVariableBoundsAvg()

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

optional double combined_variable_bounds_avg = 30;

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

Definition at line 2758 of file QuadraticProgramStats.java.

◆ setCombinedVariableBoundsL2Norm()

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

optional double combined_variable_bounds_l2_norm = 31;

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

Definition at line 2798 of file QuadraticProgramStats.java.

◆ setCombinedVariableBoundsMax()

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

optional double combined_variable_bounds_max = 28;

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

Definition at line 2670 of file QuadraticProgramStats.java.

◆ setCombinedVariableBoundsMin()

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

optional double combined_variable_bounds_min = 29;

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

Definition at line 2718 of file QuadraticProgramStats.java.

◆ setConstraintMatrixAbsAvg()

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

optional double constraint_matrix_abs_avg = 8;

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

Definition at line 2366 of file QuadraticProgramStats.java.

◆ setConstraintMatrixAbsMax()

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

optional double constraint_matrix_abs_max = 6;

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

Definition at line 2277 of file QuadraticProgramStats.java.

◆ setConstraintMatrixAbsMin()

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

optional double constraint_matrix_abs_min = 7;

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

Definition at line 2326 of file QuadraticProgramStats.java.

◆ setConstraintMatrixColMinLInfNorm()

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

optional double constraint_matrix_col_min_l_inf_norm = 3;

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

Definition at line 2108 of file QuadraticProgramStats.java.

◆ setConstraintMatrixL2Norm()

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

optional double constraint_matrix_l2_norm = 25;

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

Definition at line 2406 of file QuadraticProgramStats.java.

◆ setConstraintMatrixNumNonzeros()

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

optional int64 constraint_matrix_num_nonzeros = 5;

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

Definition at line 2206 of file QuadraticProgramStats.java.

◆ setConstraintMatrixRowMinLInfNorm()

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

optional double constraint_matrix_row_min_l_inf_norm = 4;

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

Definition at line 2154 of file QuadraticProgramStats.java.

◆ setNumConstraints()

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

optional int64 num_constraints = 2;

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

Definition at line 2050 of file QuadraticProgramStats.java.

◆ setNumVariables()

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

optional int64 num_variables = 1;

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

Definition at line 2010 of file QuadraticProgramStats.java.

◆ setObjectiveMatrixAbsAvg()

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

optional double objective_matrix_abs_avg = 22;

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

Definition at line 3406 of file QuadraticProgramStats.java.

◆ setObjectiveMatrixAbsMax()

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

optional double objective_matrix_abs_max = 20;

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

Definition at line 3320 of file QuadraticProgramStats.java.

◆ setObjectiveMatrixAbsMin()

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

optional double objective_matrix_abs_min = 21;

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

Definition at line 3366 of file QuadraticProgramStats.java.

◆ setObjectiveMatrixL2Norm()

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

optional double objective_matrix_l2_norm = 27;

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

Definition at line 3446 of file QuadraticProgramStats.java.

◆ setObjectiveMatrixNumNonzeros()

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

optional int64 objective_matrix_num_nonzeros = 19;

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

Definition at line 3262 of file QuadraticProgramStats.java.

◆ setObjectiveVectorAbsAvg()

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

optional double objective_vector_abs_avg = 18;

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

Definition at line 3182 of file QuadraticProgramStats.java.

◆ setObjectiveVectorAbsMax()

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

optional double objective_vector_abs_max = 16;

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

Definition at line 3098 of file QuadraticProgramStats.java.

◆ setObjectiveVectorAbsMin()

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

optional double objective_vector_abs_min = 17;

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

Definition at line 3142 of file QuadraticProgramStats.java.

◆ setObjectiveVectorL2Norm()

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

optional double objective_vector_l2_norm = 23;

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

Definition at line 3222 of file QuadraticProgramStats.java.

◆ setVariableBoundGapsAvg()

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

optional double variable_bound_gaps_avg = 15;

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

Definition at line 3006 of file QuadraticProgramStats.java.

◆ setVariableBoundGapsL2Norm()

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

optional double variable_bound_gaps_l2_norm = 26;

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

Definition at line 3046 of file QuadraticProgramStats.java.

◆ setVariableBoundGapsMax()

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

optional double variable_bound_gaps_max = 13;

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

Definition at line 2919 of file QuadraticProgramStats.java.

◆ setVariableBoundGapsMin()

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

optional double variable_bound_gaps_min = 14;

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

Definition at line 2966 of file QuadraticProgramStats.java.

◆ setVariableBoundGapsNumFinite()

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

optional int64 variable_bound_gaps_num_finite = 12;

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

Definition at line 2853 of file QuadraticProgramStats.java.

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