QuadraticProgramStatsOrBuilder (com.google.ortools:ortools-java 9.12.9999 API)

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

QuadraticProgramStats, QuadraticProgramStats.Builder
```
public interface QuadraticProgramStatsOrBuilder
extends com.google.protobuf.MessageOrBuilder
```

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method and Description
`double`	`getCombinedBoundsAvg()` `optional double combined_bounds_avg = 11;`
`double`	`getCombinedBoundsL2Norm()` `optional double combined_bounds_l2_norm = 24;`
`double`	`getCombinedBoundsMax()` Statistics of the combined vector of the constraint lower and upper bounds.
`double`	`getCombinedBoundsMin()` `optional double combined_bounds_min = 10;`
`double`	`getCombinedVariableBoundsAvg()` `optional double combined_variable_bounds_avg = 30;`
`double`	`getCombinedVariableBoundsL2Norm()` `optional double combined_variable_bounds_l2_norm = 31;`
`double`	`getCombinedVariableBoundsMax()` Statistics of the combined vector of the variable lower and upper bounds.
`double`	`getCombinedVariableBoundsMin()` `optional double combined_variable_bounds_min = 29;`
`double`	`getConstraintMatrixAbsAvg()` `optional double constraint_matrix_abs_avg = 8;`
`double`	`getConstraintMatrixAbsMax()` Max/min/mean/l2_norm of absolute values of (finite) elements in constraint matrix.
`double`	`getConstraintMatrixAbsMin()` `optional double constraint_matrix_abs_min = 7;`
`double`	`getConstraintMatrixColMinLInfNorm()` Minimum row and column infinity norms of the constraint matrix.
`double`	`getConstraintMatrixL2Norm()` `optional double constraint_matrix_l2_norm = 25;`
`long`	`getConstraintMatrixNumNonzeros()` The number of (finite) nonzero entries in the constraint matrix.
`double`	`getConstraintMatrixRowMinLInfNorm()` `optional double constraint_matrix_row_min_l_inf_norm = 4;`
`long`	`getNumConstraints()` `optional int64 num_constraints = 2;`
`long`	`getNumVariables()` `optional int64 num_variables = 1;`
`double`	`getObjectiveMatrixAbsAvg()` `optional double objective_matrix_abs_avg = 22;`
`double`	`getObjectiveMatrixAbsMax()` Max/min/mean/l2_norm of absolute values of elements of the objective matrix.
`double`	`getObjectiveMatrixAbsMin()` `optional double objective_matrix_abs_min = 21;`
`double`	`getObjectiveMatrixL2Norm()` `optional double objective_matrix_l2_norm = 27;`
`long`	`getObjectiveMatrixNumNonzeros()` `optional int64 objective_matrix_num_nonzeros = 19;`
`double`	`getObjectiveVectorAbsAvg()` `optional double objective_vector_abs_avg = 18;`
`double`	`getObjectiveVectorAbsMax()` Statistics of the objective vector.
`double`	`getObjectiveVectorAbsMin()` `optional double objective_vector_abs_min = 17;`
`double`	`getObjectiveVectorL2Norm()` `optional double objective_vector_l2_norm = 23;`
`double`	`getVariableBoundGapsAvg()` `optional double variable_bound_gaps_avg = 15;`
`double`	`getVariableBoundGapsL2Norm()` `optional double variable_bound_gaps_l2_norm = 26;`
`double`	`getVariableBoundGapsMax()` Max/min/mean/l2_norm over all finite variable bound gaps.
`double`	`getVariableBoundGapsMin()` `optional double variable_bound_gaps_min = 14;`
`long`	`getVariableBoundGapsNumFinite()` Number of finite variable bound gaps, which are the elementwise difference between the upper and lower bounds on primal feasible solutions.
`boolean`	`hasCombinedBoundsAvg()` `optional double combined_bounds_avg = 11;`
`boolean`	`hasCombinedBoundsL2Norm()` `optional double combined_bounds_l2_norm = 24;`
`boolean`	`hasCombinedBoundsMax()` Statistics of the combined vector of the constraint lower and upper bounds.
`boolean`	`hasCombinedBoundsMin()` `optional double combined_bounds_min = 10;`
`boolean`	`hasCombinedVariableBoundsAvg()` `optional double combined_variable_bounds_avg = 30;`
`boolean`	`hasCombinedVariableBoundsL2Norm()` `optional double combined_variable_bounds_l2_norm = 31;`
`boolean`	`hasCombinedVariableBoundsMax()` Statistics of the combined vector of the variable lower and upper bounds.
`boolean`	`hasCombinedVariableBoundsMin()` `optional double combined_variable_bounds_min = 29;`
`boolean`	`hasConstraintMatrixAbsAvg()` `optional double constraint_matrix_abs_avg = 8;`
`boolean`	`hasConstraintMatrixAbsMax()` Max/min/mean/l2_norm of absolute values of (finite) elements in constraint matrix.
`boolean`	`hasConstraintMatrixAbsMin()` `optional double constraint_matrix_abs_min = 7;`
`boolean`	`hasConstraintMatrixColMinLInfNorm()` Minimum row and column infinity norms of the constraint matrix.
`boolean`	`hasConstraintMatrixL2Norm()` `optional double constraint_matrix_l2_norm = 25;`
`boolean`	`hasConstraintMatrixNumNonzeros()` The number of (finite) nonzero entries in the constraint matrix.
`boolean`	`hasConstraintMatrixRowMinLInfNorm()` `optional double constraint_matrix_row_min_l_inf_norm = 4;`
`boolean`	`hasNumConstraints()` `optional int64 num_constraints = 2;`
`boolean`	`hasNumVariables()` `optional int64 num_variables = 1;`
`boolean`	`hasObjectiveMatrixAbsAvg()` `optional double objective_matrix_abs_avg = 22;`
`boolean`	`hasObjectiveMatrixAbsMax()` Max/min/mean/l2_norm of absolute values of elements of the objective matrix.
`boolean`	`hasObjectiveMatrixAbsMin()` `optional double objective_matrix_abs_min = 21;`
`boolean`	`hasObjectiveMatrixL2Norm()` `optional double objective_matrix_l2_norm = 27;`
`boolean`	`hasObjectiveMatrixNumNonzeros()` `optional int64 objective_matrix_num_nonzeros = 19;`
`boolean`	`hasObjectiveVectorAbsAvg()` `optional double objective_vector_abs_avg = 18;`
`boolean`	`hasObjectiveVectorAbsMax()` Statistics of the objective vector.
`boolean`	`hasObjectiveVectorAbsMin()` `optional double objective_vector_abs_min = 17;`
`boolean`	`hasObjectiveVectorL2Norm()` `optional double objective_vector_l2_norm = 23;`
`boolean`	`hasVariableBoundGapsAvg()` `optional double variable_bound_gaps_avg = 15;`
`boolean`	`hasVariableBoundGapsL2Norm()` `optional double variable_bound_gaps_l2_norm = 26;`
`boolean`	`hasVariableBoundGapsMax()` Max/min/mean/l2_norm over all finite variable bound gaps.
`boolean`	`hasVariableBoundGapsMin()` `optional double variable_bound_gaps_min = 14;`
`boolean`	`hasVariableBoundGapsNumFinite()` Number of finite variable bound gaps, which are the elementwise difference between the upper and lower bounds on primal feasible solutions.

Methods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder
isInitialized

- Method Detail
  - hasNumVariables
```
boolean hasNumVariables()
```
    optional int64 num_variables = 1;
    
    Returns:
    
    Whether the numVariables field is set.
  - getNumVariables
```
long getNumVariables()
```
    optional int64 num_variables = 1;
    
    Returns:
    
    The numVariables.
  - hasNumConstraints
```
boolean hasNumConstraints()
```
    optional int64 num_constraints = 2;
    
    Returns:
    
    Whether the numConstraints field is set.
  - getNumConstraints
```
long getNumConstraints()
```
    optional int64 num_constraints = 2;
    
    Returns:
    
    The numConstraints.
  - hasConstraintMatrixColMinLInfNorm
```
boolean 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.
  - getConstraintMatrixColMinLInfNorm
```
double 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.
  - hasConstraintMatrixRowMinLInfNorm
```
boolean hasConstraintMatrixRowMinLInfNorm()
```
    optional double constraint_matrix_row_min_l_inf_norm = 4;
    
    Returns:
    
    Whether the constraintMatrixRowMinLInfNorm field is set.
  - getConstraintMatrixRowMinLInfNorm
```
double getConstraintMatrixRowMinLInfNorm()
```
    optional double constraint_matrix_row_min_l_inf_norm = 4;
    
    Returns:
    
    The constraintMatrixRowMinLInfNorm.
  - hasConstraintMatrixNumNonzeros
```
boolean 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.
  - getConstraintMatrixNumNonzeros
```
long getConstraintMatrixNumNonzeros()
```
```
 The number of (finite) nonzero entries in the constraint matrix.
 
```
    optional int64 constraint_matrix_num_nonzeros = 5;
    Returns:
    
    The constraintMatrixNumNonzeros.
  - hasConstraintMatrixAbsMax
```
boolean 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.
  - getConstraintMatrixAbsMax
```
double 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.
  - hasConstraintMatrixAbsMin
```
boolean hasConstraintMatrixAbsMin()
```
    optional double constraint_matrix_abs_min = 7;
    
    Returns:
    
    Whether the constraintMatrixAbsMin field is set.
  - getConstraintMatrixAbsMin
```
double getConstraintMatrixAbsMin()
```
    optional double constraint_matrix_abs_min = 7;
    
    Returns:
    
    The constraintMatrixAbsMin.
  - hasConstraintMatrixAbsAvg
```
boolean hasConstraintMatrixAbsAvg()
```
    optional double constraint_matrix_abs_avg = 8;
    
    Returns:
    
    Whether the constraintMatrixAbsAvg field is set.
  - getConstraintMatrixAbsAvg
```
double getConstraintMatrixAbsAvg()
```
    optional double constraint_matrix_abs_avg = 8;
    
    Returns:
    
    The constraintMatrixAbsAvg.
  - hasConstraintMatrixL2Norm
```
boolean hasConstraintMatrixL2Norm()
```
    optional double constraint_matrix_l2_norm = 25;
    
    Returns:
    
    Whether the constraintMatrixL2Norm field is set.
  - getConstraintMatrixL2Norm
```
double getConstraintMatrixL2Norm()
```
    optional double constraint_matrix_l2_norm = 25;
    
    Returns:
    
    The constraintMatrixL2Norm.
  - hasCombinedBoundsMax
```
boolean 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.
  - getCombinedBoundsMax
```
double 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.
  - hasCombinedBoundsMin
```
boolean hasCombinedBoundsMin()
```
    optional double combined_bounds_min = 10;
    
    Returns:
    
    Whether the combinedBoundsMin field is set.
  - getCombinedBoundsMin
```
double getCombinedBoundsMin()
```
    optional double combined_bounds_min = 10;
    
    Returns:
    
    The combinedBoundsMin.
  - hasCombinedBoundsAvg
```
boolean hasCombinedBoundsAvg()
```
    optional double combined_bounds_avg = 11;
    
    Returns:
    
    Whether the combinedBoundsAvg field is set.
  - getCombinedBoundsAvg
```
double getCombinedBoundsAvg()
```
    optional double combined_bounds_avg = 11;
    
    Returns:
    
    The combinedBoundsAvg.
  - hasCombinedBoundsL2Norm
```
boolean hasCombinedBoundsL2Norm()
```
    optional double combined_bounds_l2_norm = 24;
    
    Returns:
    
    Whether the combinedBoundsL2Norm field is set.
  - getCombinedBoundsL2Norm
```
double getCombinedBoundsL2Norm()
```
    optional double combined_bounds_l2_norm = 24;
    
    Returns:
    
    The combinedBoundsL2Norm.
  - hasCombinedVariableBoundsMax
```
boolean 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.
  - getCombinedVariableBoundsMax
```
double 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.
  - hasCombinedVariableBoundsMin
```
boolean hasCombinedVariableBoundsMin()
```
    optional double combined_variable_bounds_min = 29;
    
    Returns:
    
    Whether the combinedVariableBoundsMin field is set.
  - getCombinedVariableBoundsMin
```
double getCombinedVariableBoundsMin()
```
    optional double combined_variable_bounds_min = 29;
    
    Returns:
    
    The combinedVariableBoundsMin.
  - hasCombinedVariableBoundsAvg
```
boolean hasCombinedVariableBoundsAvg()
```
    optional double combined_variable_bounds_avg = 30;
    
    Returns:
    
    Whether the combinedVariableBoundsAvg field is set.
  - getCombinedVariableBoundsAvg
```
double getCombinedVariableBoundsAvg()
```
    optional double combined_variable_bounds_avg = 30;
    
    Returns:
    
    The combinedVariableBoundsAvg.
  - hasCombinedVariableBoundsL2Norm
```
boolean hasCombinedVariableBoundsL2Norm()
```
    optional double combined_variable_bounds_l2_norm = 31;
    
    Returns:
    
    Whether the combinedVariableBoundsL2Norm field is set.
  - getCombinedVariableBoundsL2Norm
```
double getCombinedVariableBoundsL2Norm()
```
    optional double combined_variable_bounds_l2_norm = 31;
    
    Returns:
    
    The combinedVariableBoundsL2Norm.
  - hasVariableBoundGapsNumFinite
```
boolean 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.
  - getVariableBoundGapsNumFinite
```
long 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.
  - hasVariableBoundGapsMax
```
boolean 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.
  - getVariableBoundGapsMax
```
double 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.
  - hasVariableBoundGapsMin
```
boolean hasVariableBoundGapsMin()
```
    optional double variable_bound_gaps_min = 14;
    
    Returns:
    
    Whether the variableBoundGapsMin field is set.
  - getVariableBoundGapsMin
```
double getVariableBoundGapsMin()
```
    optional double variable_bound_gaps_min = 14;
    
    Returns:
    
    The variableBoundGapsMin.
  - hasVariableBoundGapsAvg
```
boolean hasVariableBoundGapsAvg()
```
    optional double variable_bound_gaps_avg = 15;
    
    Returns:
    
    Whether the variableBoundGapsAvg field is set.
  - getVariableBoundGapsAvg
```
double getVariableBoundGapsAvg()
```
    optional double variable_bound_gaps_avg = 15;
    
    Returns:
    
    The variableBoundGapsAvg.
  - hasVariableBoundGapsL2Norm
```
boolean hasVariableBoundGapsL2Norm()
```
    optional double variable_bound_gaps_l2_norm = 26;
    
    Returns:
    
    Whether the variableBoundGapsL2Norm field is set.
  - getVariableBoundGapsL2Norm
```
double getVariableBoundGapsL2Norm()
```
    optional double variable_bound_gaps_l2_norm = 26;
    
    Returns:
    
    The variableBoundGapsL2Norm.
  - hasObjectiveVectorAbsMax
```
boolean 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.
  - getObjectiveVectorAbsMax
```
double getObjectiveVectorAbsMax()
```
```
 Statistics of the objective vector. The min is over the nonzero terms.
 
```
    optional double objective_vector_abs_max = 16;
    Returns:
    
    The objectiveVectorAbsMax.
  - hasObjectiveVectorAbsMin
```
boolean hasObjectiveVectorAbsMin()
```
    optional double objective_vector_abs_min = 17;
    
    Returns:
    
    Whether the objectiveVectorAbsMin field is set.
  - getObjectiveVectorAbsMin
```
double getObjectiveVectorAbsMin()
```
    optional double objective_vector_abs_min = 17;
    
    Returns:
    
    The objectiveVectorAbsMin.
  - hasObjectiveVectorAbsAvg
```
boolean hasObjectiveVectorAbsAvg()
```
    optional double objective_vector_abs_avg = 18;
    
    Returns:
    
    Whether the objectiveVectorAbsAvg field is set.
  - getObjectiveVectorAbsAvg
```
double getObjectiveVectorAbsAvg()
```
    optional double objective_vector_abs_avg = 18;
    
    Returns:
    
    The objectiveVectorAbsAvg.
  - hasObjectiveVectorL2Norm
```
boolean hasObjectiveVectorL2Norm()
```
    optional double objective_vector_l2_norm = 23;
    
    Returns:
    
    Whether the objectiveVectorL2Norm field is set.
  - getObjectiveVectorL2Norm
```
double getObjectiveVectorL2Norm()
```
    optional double objective_vector_l2_norm = 23;
    
    Returns:
    
    The objectiveVectorL2Norm.
  - hasObjectiveMatrixNumNonzeros
```
boolean hasObjectiveMatrixNumNonzeros()
```
    optional int64 objective_matrix_num_nonzeros = 19;
    
    Returns:
    
    Whether the objectiveMatrixNumNonzeros field is set.
  - getObjectiveMatrixNumNonzeros
```
long getObjectiveMatrixNumNonzeros()
```
    optional int64 objective_matrix_num_nonzeros = 19;
    
    Returns:
    
    The objectiveMatrixNumNonzeros.
  - hasObjectiveMatrixAbsMax
```
boolean 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.
  - getObjectiveMatrixAbsMax
```
double 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.
  - hasObjectiveMatrixAbsMin
```
boolean hasObjectiveMatrixAbsMin()
```
    optional double objective_matrix_abs_min = 21;
    
    Returns:
    
    Whether the objectiveMatrixAbsMin field is set.
  - getObjectiveMatrixAbsMin
```
double getObjectiveMatrixAbsMin()
```
    optional double objective_matrix_abs_min = 21;
    
    Returns:
    
    The objectiveMatrixAbsMin.
  - hasObjectiveMatrixAbsAvg
```
boolean hasObjectiveMatrixAbsAvg()
```
    optional double objective_matrix_abs_avg = 22;
    
    Returns:
    
    Whether the objectiveMatrixAbsAvg field is set.
  - getObjectiveMatrixAbsAvg
```
double getObjectiveMatrixAbsAvg()
```
    optional double objective_matrix_abs_avg = 22;
    
    Returns:
    
    The objectiveMatrixAbsAvg.
  - hasObjectiveMatrixL2Norm
```
boolean hasObjectiveMatrixL2Norm()
```
    optional double objective_matrix_l2_norm = 27;
    
    Returns:
    
    Whether the objectiveMatrixL2Norm field is set.
  - getObjectiveMatrixL2Norm
```
double getObjectiveMatrixL2Norm()
```
    optional double objective_matrix_l2_norm = 27;
    
    Returns:
    
    The objectiveMatrixL2Norm.

Interface QuadraticProgramStatsOrBuilder

Method Summary

Methods inherited from interface com.google.protobuf.MessageOrBuilder

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

Method Detail

hasNumVariables

getNumVariables

hasNumConstraints

getNumConstraints

hasConstraintMatrixColMinLInfNorm

getConstraintMatrixColMinLInfNorm

hasConstraintMatrixRowMinLInfNorm

getConstraintMatrixRowMinLInfNorm

hasConstraintMatrixNumNonzeros

getConstraintMatrixNumNonzeros

hasConstraintMatrixAbsMax

getConstraintMatrixAbsMax

hasConstraintMatrixAbsMin

getConstraintMatrixAbsMin

hasConstraintMatrixAbsAvg

getConstraintMatrixAbsAvg

hasConstraintMatrixL2Norm

getConstraintMatrixL2Norm

hasCombinedBoundsMax

getCombinedBoundsMax

hasCombinedBoundsMin

getCombinedBoundsMin

hasCombinedBoundsAvg

getCombinedBoundsAvg

hasCombinedBoundsL2Norm

getCombinedBoundsL2Norm

hasCombinedVariableBoundsMax

getCombinedVariableBoundsMax

hasCombinedVariableBoundsMin

getCombinedVariableBoundsMin

hasCombinedVariableBoundsAvg

getCombinedVariableBoundsAvg

hasCombinedVariableBoundsL2Norm

getCombinedVariableBoundsL2Norm

hasVariableBoundGapsNumFinite

getVariableBoundGapsNumFinite

hasVariableBoundGapsMax

getVariableBoundGapsMax

hasVariableBoundGapsMin

getVariableBoundGapsMin

hasVariableBoundGapsAvg

getVariableBoundGapsAvg

hasVariableBoundGapsL2Norm

getVariableBoundGapsL2Norm

hasObjectiveVectorAbsMax

getObjectiveVectorAbsMax

hasObjectiveVectorAbsMin

getObjectiveVectorAbsMin

hasObjectiveVectorAbsAvg

getObjectiveVectorAbsAvg

hasObjectiveVectorL2Norm

getObjectiveVectorL2Norm

hasObjectiveMatrixNumNonzeros

getObjectiveMatrixNumNonzeros

hasObjectiveMatrixAbsMax

getObjectiveMatrixAbsMax

hasObjectiveMatrixAbsMin

getObjectiveMatrixAbsMin

hasObjectiveMatrixAbsAvg

getObjectiveMatrixAbsAvg

hasObjectiveMatrixL2Norm

getObjectiveMatrixL2Norm