QuadraticProgramStats.Builder (com.google.ortools:ortools-java 9.12.9999 API)

java.lang.Object
- com.google.protobuf.AbstractMessageLite.Builder
- - com.google.protobuf.AbstractMessage.Builder<BuilderT>
  - - com.google.protobuf.GeneratedMessage.Builder<QuadraticProgramStats.Builder>
    - - com.google.ortools.pdlp.QuadraticProgramStats.Builder

All Implemented Interfaces:

QuadraticProgramStatsOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, java.lang.Cloneable

Enclosing class:

QuadraticProgramStats
```
public static final class QuadraticProgramStats.Builder
extends com.google.protobuf.GeneratedMessage.Builder<QuadraticProgramStats.Builder>
implements QuadraticProgramStatsOrBuilder
```
```
 Easy-to-compute statistics for the quadratic program.
 
```
Protobuf type operations_research.pdlp.QuadraticProgramStats

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`QuadraticProgramStats`	`build()`
`QuadraticProgramStats`	`buildPartial()`
`QuadraticProgramStats.Builder`	`clear()`
`QuadraticProgramStats.Builder`	`clearCombinedBoundsAvg()` `optional double combined_bounds_avg = 11;`
`QuadraticProgramStats.Builder`	`clearCombinedBoundsL2Norm()` `optional double combined_bounds_l2_norm = 24;`
`QuadraticProgramStats.Builder`	`clearCombinedBoundsMax()` Statistics of the combined vector of the constraint lower and upper bounds.
`QuadraticProgramStats.Builder`	`clearCombinedBoundsMin()` `optional double combined_bounds_min = 10;`
`QuadraticProgramStats.Builder`	`clearCombinedVariableBoundsAvg()` `optional double combined_variable_bounds_avg = 30;`
`QuadraticProgramStats.Builder`	`clearCombinedVariableBoundsL2Norm()` `optional double combined_variable_bounds_l2_norm = 31;`
`QuadraticProgramStats.Builder`	`clearCombinedVariableBoundsMax()` Statistics of the combined vector of the variable lower and upper bounds.
`QuadraticProgramStats.Builder`	`clearCombinedVariableBoundsMin()` `optional double combined_variable_bounds_min = 29;`
`QuadraticProgramStats.Builder`	`clearConstraintMatrixAbsAvg()` `optional double constraint_matrix_abs_avg = 8;`
`QuadraticProgramStats.Builder`	`clearConstraintMatrixAbsMax()` Max/min/mean/l2_norm of absolute values of (finite) elements in constraint matrix.
`QuadraticProgramStats.Builder`	`clearConstraintMatrixAbsMin()` `optional double constraint_matrix_abs_min = 7;`
`QuadraticProgramStats.Builder`	`clearConstraintMatrixColMinLInfNorm()` Minimum row and column infinity norms of the constraint matrix.
`QuadraticProgramStats.Builder`	`clearConstraintMatrixL2Norm()` `optional double constraint_matrix_l2_norm = 25;`
`QuadraticProgramStats.Builder`	`clearConstraintMatrixNumNonzeros()` The number of (finite) nonzero entries in the constraint matrix.
`QuadraticProgramStats.Builder`	`clearConstraintMatrixRowMinLInfNorm()` `optional double constraint_matrix_row_min_l_inf_norm = 4;`
`QuadraticProgramStats.Builder`	`clearNumConstraints()` `optional int64 num_constraints = 2;`
`QuadraticProgramStats.Builder`	`clearNumVariables()` `optional int64 num_variables = 1;`
`QuadraticProgramStats.Builder`	`clearObjectiveMatrixAbsAvg()` `optional double objective_matrix_abs_avg = 22;`
`QuadraticProgramStats.Builder`	`clearObjectiveMatrixAbsMax()` Max/min/mean/l2_norm of absolute values of elements of the objective matrix.
`QuadraticProgramStats.Builder`	`clearObjectiveMatrixAbsMin()` `optional double objective_matrix_abs_min = 21;`
`QuadraticProgramStats.Builder`	`clearObjectiveMatrixL2Norm()` `optional double objective_matrix_l2_norm = 27;`
`QuadraticProgramStats.Builder`	`clearObjectiveMatrixNumNonzeros()` `optional int64 objective_matrix_num_nonzeros = 19;`
`QuadraticProgramStats.Builder`	`clearObjectiveVectorAbsAvg()` `optional double objective_vector_abs_avg = 18;`
`QuadraticProgramStats.Builder`	`clearObjectiveVectorAbsMax()` Statistics of the objective vector.
`QuadraticProgramStats.Builder`	`clearObjectiveVectorAbsMin()` `optional double objective_vector_abs_min = 17;`
`QuadraticProgramStats.Builder`	`clearObjectiveVectorL2Norm()` `optional double objective_vector_l2_norm = 23;`
`QuadraticProgramStats.Builder`	`clearVariableBoundGapsAvg()` `optional double variable_bound_gaps_avg = 15;`
`QuadraticProgramStats.Builder`	`clearVariableBoundGapsL2Norm()` `optional double variable_bound_gaps_l2_norm = 26;`
`QuadraticProgramStats.Builder`	`clearVariableBoundGapsMax()` Max/min/mean/l2_norm over all finite variable bound gaps.
`QuadraticProgramStats.Builder`	`clearVariableBoundGapsMin()` `optional double variable_bound_gaps_min = 14;`
`QuadraticProgramStats.Builder`	`clearVariableBoundGapsNumFinite()` Number of finite variable bound gaps, which are the elementwise difference between the upper and lower bounds on primal feasible solutions.
`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;`
`QuadraticProgramStats`	`getDefaultInstanceForType()`
`static com.google.protobuf.Descriptors.Descriptor`	`getDescriptor()`
`com.google.protobuf.Descriptors.Descriptor`	`getDescriptorForType()`
`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.
`protected com.google.protobuf.GeneratedMessage.FieldAccessorTable`	`internalGetFieldAccessorTable()`
`boolean`	`isInitialized()`
`QuadraticProgramStats.Builder`	`mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)`
`QuadraticProgramStats.Builder`	`mergeFrom(com.google.protobuf.Message other)`
`QuadraticProgramStats.Builder`	`mergeFrom(QuadraticProgramStats other)`
`QuadraticProgramStats.Builder`	`setCombinedBoundsAvg(double value)` `optional double combined_bounds_avg = 11;`
`QuadraticProgramStats.Builder`	`setCombinedBoundsL2Norm(double value)` `optional double combined_bounds_l2_norm = 24;`
`QuadraticProgramStats.Builder`	`setCombinedBoundsMax(double value)` Statistics of the combined vector of the constraint lower and upper bounds.
`QuadraticProgramStats.Builder`	`setCombinedBoundsMin(double value)` `optional double combined_bounds_min = 10;`
`QuadraticProgramStats.Builder`	`setCombinedVariableBoundsAvg(double value)` `optional double combined_variable_bounds_avg = 30;`
`QuadraticProgramStats.Builder`	`setCombinedVariableBoundsL2Norm(double value)` `optional double combined_variable_bounds_l2_norm = 31;`
`QuadraticProgramStats.Builder`	`setCombinedVariableBoundsMax(double value)` Statistics of the combined vector of the variable lower and upper bounds.
`QuadraticProgramStats.Builder`	`setCombinedVariableBoundsMin(double value)` `optional double combined_variable_bounds_min = 29;`
`QuadraticProgramStats.Builder`	`setConstraintMatrixAbsAvg(double value)` `optional double constraint_matrix_abs_avg = 8;`
`QuadraticProgramStats.Builder`	`setConstraintMatrixAbsMax(double value)` Max/min/mean/l2_norm of absolute values of (finite) elements in constraint matrix.
`QuadraticProgramStats.Builder`	`setConstraintMatrixAbsMin(double value)` `optional double constraint_matrix_abs_min = 7;`
`QuadraticProgramStats.Builder`	`setConstraintMatrixColMinLInfNorm(double value)` Minimum row and column infinity norms of the constraint matrix.
`QuadraticProgramStats.Builder`	`setConstraintMatrixL2Norm(double value)` `optional double constraint_matrix_l2_norm = 25;`
`QuadraticProgramStats.Builder`	`setConstraintMatrixNumNonzeros(long value)` The number of (finite) nonzero entries in the constraint matrix.
`QuadraticProgramStats.Builder`	`setConstraintMatrixRowMinLInfNorm(double value)` `optional double constraint_matrix_row_min_l_inf_norm = 4;`
`QuadraticProgramStats.Builder`	`setNumConstraints(long value)` `optional int64 num_constraints = 2;`
`QuadraticProgramStats.Builder`	`setNumVariables(long value)` `optional int64 num_variables = 1;`
`QuadraticProgramStats.Builder`	`setObjectiveMatrixAbsAvg(double value)` `optional double objective_matrix_abs_avg = 22;`
`QuadraticProgramStats.Builder`	`setObjectiveMatrixAbsMax(double value)` Max/min/mean/l2_norm of absolute values of elements of the objective matrix.
`QuadraticProgramStats.Builder`	`setObjectiveMatrixAbsMin(double value)` `optional double objective_matrix_abs_min = 21;`
`QuadraticProgramStats.Builder`	`setObjectiveMatrixL2Norm(double value)` `optional double objective_matrix_l2_norm = 27;`
`QuadraticProgramStats.Builder`	`setObjectiveMatrixNumNonzeros(long value)` `optional int64 objective_matrix_num_nonzeros = 19;`
`QuadraticProgramStats.Builder`	`setObjectiveVectorAbsAvg(double value)` `optional double objective_vector_abs_avg = 18;`
`QuadraticProgramStats.Builder`	`setObjectiveVectorAbsMax(double value)` Statistics of the objective vector.
`QuadraticProgramStats.Builder`	`setObjectiveVectorAbsMin(double value)` `optional double objective_vector_abs_min = 17;`
`QuadraticProgramStats.Builder`	`setObjectiveVectorL2Norm(double value)` `optional double objective_vector_l2_norm = 23;`
`QuadraticProgramStats.Builder`	`setVariableBoundGapsAvg(double value)` `optional double variable_bound_gaps_avg = 15;`
`QuadraticProgramStats.Builder`	`setVariableBoundGapsL2Norm(double value)` `optional double variable_bound_gaps_l2_norm = 26;`
`QuadraticProgramStats.Builder`	`setVariableBoundGapsMax(double value)` Max/min/mean/l2_norm over all finite variable bound gaps.
`QuadraticProgramStats.Builder`	`setVariableBoundGapsMin(double value)` `optional double variable_bound_gaps_min = 14;`
`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.

Methods inherited from class com.google.protobuf.GeneratedMessage.Builder
addRepeatedField, clearField, clearOneof, clone, getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, internalGetMutableMapField, internalGetMutableMapFieldReflection, isClean, markClean, mergeUnknownFields, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setField, setRepeatedField, setUnknownFields, setUnknownFieldSetBuilder, setUnknownFieldsProto3

Methods inherited from class com.google.protobuf.AbstractMessage.Builder
findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString

Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder
addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, newUninitializedMessageException

Methods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

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

Methods inherited from interface com.google.protobuf.Message.Builder
mergeDelimitedFrom, mergeDelimitedFrom

- Method Detail
  - getDescriptor
```
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
```
  - internalGetFieldAccessorTable
```
protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
```
    Specified by:
    
    internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage.Builder<QuadraticProgramStats.Builder>
  - clear
```
public QuadraticProgramStats.Builder clear()
```
    Specified by:
    
    clear in interface com.google.protobuf.Message.Builder
    
    Specified by:
    
    clear in interface com.google.protobuf.MessageLite.Builder
    
    Overrides:
    
    clear in class com.google.protobuf.GeneratedMessage.Builder<QuadraticProgramStats.Builder>
  - getDescriptorForType
```
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
```
    Specified by:
    
    getDescriptorForType in interface com.google.protobuf.Message.Builder
    
    Specified by:
    
    getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
    
    Overrides:
    
    getDescriptorForType in class com.google.protobuf.GeneratedMessage.Builder<QuadraticProgramStats.Builder>
  - getDefaultInstanceForType
```
public QuadraticProgramStats getDefaultInstanceForType()
```
    Specified by:
    
    getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
    
    Specified by:
    
    getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder
  - build
```
public QuadraticProgramStats build()
```
    Specified by:
    
    build in interface com.google.protobuf.Message.Builder
    
    Specified by:
    
    build in interface com.google.protobuf.MessageLite.Builder
  - buildPartial
```
public QuadraticProgramStats buildPartial()
```
    Specified by:
    
    buildPartial in interface com.google.protobuf.Message.Builder
    
    Specified by:
    
    buildPartial in interface com.google.protobuf.MessageLite.Builder
  - mergeFrom
```
public QuadraticProgramStats.Builder mergeFrom(com.google.protobuf.Message other)
```
    Specified by:
    
    mergeFrom in interface com.google.protobuf.Message.Builder
    
    Overrides:
    
    mergeFrom in class com.google.protobuf.AbstractMessage.Builder<QuadraticProgramStats.Builder>
  - mergeFrom
```
public QuadraticProgramStats.Builder mergeFrom(QuadraticProgramStats other)
```
  - isInitialized
```
public final boolean isInitialized()
```
    Specified by:
    
    isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
    
    Overrides:
    
    isInitialized in class com.google.protobuf.GeneratedMessage.Builder<QuadraticProgramStats.Builder>
  - mergeFrom
```
public QuadraticProgramStats.Builder mergeFrom(com.google.protobuf.CodedInputStream input,
                                               com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                        throws java.io.IOException
```
    Specified by:
    
    mergeFrom in interface com.google.protobuf.Message.Builder
    
    Specified by:
    
    mergeFrom in interface com.google.protobuf.MessageLite.Builder
    
    Overrides:
    
    mergeFrom in class com.google.protobuf.AbstractMessage.Builder<QuadraticProgramStats.Builder>
    
    Throws:
    
    java.io.IOException
  - hasNumVariables
```
public boolean hasNumVariables()
```
    optional int64 num_variables = 1;
    
    Specified by:
    
    hasNumVariables in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the numVariables field is set.
  - getNumVariables
```
public long getNumVariables()
```
    optional int64 num_variables = 1;
    
    Specified by:
    
    getNumVariables in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The numVariables.
  - setNumVariables
```
public QuadraticProgramStats.Builder setNumVariables(long value)
```
    optional int64 num_variables = 1;
    
    Parameters:
    
    value - The numVariables to set.
    
    Returns:
    
    This builder for chaining.
  - clearNumVariables
```
public QuadraticProgramStats.Builder clearNumVariables()
```
    optional int64 num_variables = 1;
    
    Returns:
    
    This builder for chaining.
  - hasNumConstraints
```
public boolean hasNumConstraints()
```
    optional int64 num_constraints = 2;
    
    Specified by:
    
    hasNumConstraints in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the numConstraints field is set.
  - getNumConstraints
```
public long getNumConstraints()
```
    optional int64 num_constraints = 2;
    
    Specified by:
    
    getNumConstraints in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The numConstraints.
  - setNumConstraints
```
public QuadraticProgramStats.Builder setNumConstraints(long value)
```
    optional int64 num_constraints = 2;
    
    Parameters:
    
    value - The numConstraints to set.
    
    Returns:
    
    This builder for chaining.
  - clearNumConstraints
```
public QuadraticProgramStats.Builder clearNumConstraints()
```
    optional int64 num_constraints = 2;
    
    Returns:
    
    This builder for chaining.
  - hasConstraintMatrixColMinLInfNorm
```
public 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;
    Specified by:
    
    hasConstraintMatrixColMinLInfNorm in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the constraintMatrixColMinLInfNorm field is set.
  - getConstraintMatrixColMinLInfNorm
```
public 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;
    Specified by:
    
    getConstraintMatrixColMinLInfNorm in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The constraintMatrixColMinLInfNorm.
  - setConstraintMatrixColMinLInfNorm
```
public QuadraticProgramStats.Builder setConstraintMatrixColMinLInfNorm(double value)
```
```
 Minimum row and column infinity norms of the constraint matrix. All-zero
 rows and columns are excluded. If the constraint matrix contains no nonzero
 entries, the values returned are 0.0.
 
```
    optional double constraint_matrix_col_min_l_inf_norm = 3;
    Parameters:
    
    value - The constraintMatrixColMinLInfNorm to set.
    
    Returns:
    
    This builder for chaining.
  - clearConstraintMatrixColMinLInfNorm
```
public 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.
  - hasConstraintMatrixRowMinLInfNorm
```
public boolean hasConstraintMatrixRowMinLInfNorm()
```
    optional double constraint_matrix_row_min_l_inf_norm = 4;
    
    Specified by:
    
    hasConstraintMatrixRowMinLInfNorm in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the constraintMatrixRowMinLInfNorm field is set.
  - getConstraintMatrixRowMinLInfNorm
```
public double getConstraintMatrixRowMinLInfNorm()
```
    optional double constraint_matrix_row_min_l_inf_norm = 4;
    
    Specified by:
    
    getConstraintMatrixRowMinLInfNorm in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The constraintMatrixRowMinLInfNorm.
  - setConstraintMatrixRowMinLInfNorm
```
public QuadraticProgramStats.Builder setConstraintMatrixRowMinLInfNorm(double value)
```
    optional double constraint_matrix_row_min_l_inf_norm = 4;
    
    Parameters:
    
    value - The constraintMatrixRowMinLInfNorm to set.
    
    Returns:
    
    This builder for chaining.
  - clearConstraintMatrixRowMinLInfNorm
```
public QuadraticProgramStats.Builder clearConstraintMatrixRowMinLInfNorm()
```
    optional double constraint_matrix_row_min_l_inf_norm = 4;
    
    Returns:
    
    This builder for chaining.
  - hasConstraintMatrixNumNonzeros
```
public boolean hasConstraintMatrixNumNonzeros()
```
```
 The number of (finite) nonzero entries in the constraint matrix.
 
```
    optional int64 constraint_matrix_num_nonzeros = 5;
    Specified by:
    
    hasConstraintMatrixNumNonzeros in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the constraintMatrixNumNonzeros field is set.
  - getConstraintMatrixNumNonzeros
```
public long getConstraintMatrixNumNonzeros()
```
```
 The number of (finite) nonzero entries in the constraint matrix.
 
```
    optional int64 constraint_matrix_num_nonzeros = 5;
    Specified by:
    
    getConstraintMatrixNumNonzeros in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The constraintMatrixNumNonzeros.
  - setConstraintMatrixNumNonzeros
```
public QuadraticProgramStats.Builder setConstraintMatrixNumNonzeros(long value)
```
```
 The number of (finite) nonzero entries in the constraint matrix.
 
```
    optional int64 constraint_matrix_num_nonzeros = 5;
    Parameters:
    
    value - The constraintMatrixNumNonzeros to set.
    
    Returns:
    
    This builder for chaining.
  - clearConstraintMatrixNumNonzeros
```
public 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.
  - hasConstraintMatrixAbsMax
```
public 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;
    Specified by:
    
    hasConstraintMatrixAbsMax in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the constraintMatrixAbsMax field is set.
  - getConstraintMatrixAbsMax
```
public 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;
    Specified by:
    
    getConstraintMatrixAbsMax in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The constraintMatrixAbsMax.
  - setConstraintMatrixAbsMax
```
public QuadraticProgramStats.Builder setConstraintMatrixAbsMax(double value)
```
```
 Max/min/mean/l2_norm of absolute values of (finite) elements in constraint
 matrix. Explicit zeros are included in the mean, but excluded from the min.
 Note that the maximum absolute value is also equal to the maximal row and
 column infinity norms of the constraint matrix. If the constraint matrix is
 empty, the values returned are 0.0 for the maximum, minimum, and l2_norm,
 and NaN for the average.
 
```
    optional double constraint_matrix_abs_max = 6;
    Parameters:
    
    value - The constraintMatrixAbsMax to set.
    
    Returns:
    
    This builder for chaining.
  - clearConstraintMatrixAbsMax
```
public 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.
  - hasConstraintMatrixAbsMin
```
public boolean hasConstraintMatrixAbsMin()
```
    optional double constraint_matrix_abs_min = 7;
    
    Specified by:
    
    hasConstraintMatrixAbsMin in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the constraintMatrixAbsMin field is set.
  - getConstraintMatrixAbsMin
```
public double getConstraintMatrixAbsMin()
```
    optional double constraint_matrix_abs_min = 7;
    
    Specified by:
    
    getConstraintMatrixAbsMin in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The constraintMatrixAbsMin.
  - setConstraintMatrixAbsMin
```
public QuadraticProgramStats.Builder setConstraintMatrixAbsMin(double value)
```
    optional double constraint_matrix_abs_min = 7;
    
    Parameters:
    
    value - The constraintMatrixAbsMin to set.
    
    Returns:
    
    This builder for chaining.
  - clearConstraintMatrixAbsMin
```
public QuadraticProgramStats.Builder clearConstraintMatrixAbsMin()
```
    optional double constraint_matrix_abs_min = 7;
    
    Returns:
    
    This builder for chaining.
  - hasConstraintMatrixAbsAvg
```
public boolean hasConstraintMatrixAbsAvg()
```
    optional double constraint_matrix_abs_avg = 8;
    
    Specified by:
    
    hasConstraintMatrixAbsAvg in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the constraintMatrixAbsAvg field is set.
  - getConstraintMatrixAbsAvg
```
public double getConstraintMatrixAbsAvg()
```
    optional double constraint_matrix_abs_avg = 8;
    
    Specified by:
    
    getConstraintMatrixAbsAvg in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The constraintMatrixAbsAvg.
  - setConstraintMatrixAbsAvg
```
public QuadraticProgramStats.Builder setConstraintMatrixAbsAvg(double value)
```
    optional double constraint_matrix_abs_avg = 8;
    
    Parameters:
    
    value - The constraintMatrixAbsAvg to set.
    
    Returns:
    
    This builder for chaining.
  - clearConstraintMatrixAbsAvg
```
public QuadraticProgramStats.Builder clearConstraintMatrixAbsAvg()
```
    optional double constraint_matrix_abs_avg = 8;
    
    Returns:
    
    This builder for chaining.
  - hasConstraintMatrixL2Norm
```
public boolean hasConstraintMatrixL2Norm()
```
    optional double constraint_matrix_l2_norm = 25;
    
    Specified by:
    
    hasConstraintMatrixL2Norm in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the constraintMatrixL2Norm field is set.
  - getConstraintMatrixL2Norm
```
public double getConstraintMatrixL2Norm()
```
    optional double constraint_matrix_l2_norm = 25;
    
    Specified by:
    
    getConstraintMatrixL2Norm in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The constraintMatrixL2Norm.
  - setConstraintMatrixL2Norm
```
public QuadraticProgramStats.Builder setConstraintMatrixL2Norm(double value)
```
    optional double constraint_matrix_l2_norm = 25;
    
    Parameters:
    
    value - The constraintMatrixL2Norm to set.
    
    Returns:
    
    This builder for chaining.
  - clearConstraintMatrixL2Norm
```
public QuadraticProgramStats.Builder clearConstraintMatrixL2Norm()
```
    optional double constraint_matrix_l2_norm = 25;
    
    Returns:
    
    This builder for chaining.
  - hasCombinedBoundsMax
```
public 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;
    Specified by:
    
    hasCombinedBoundsMax in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the combinedBoundsMax field is set.
  - getCombinedBoundsMax
```
public 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;
    Specified by:
    
    getCombinedBoundsMax in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The combinedBoundsMax.
  - setCombinedBoundsMax
```
public QuadraticProgramStats.Builder setCombinedBoundsMax(double value)
```
```
 Statistics of the combined vector of the constraint lower and upper bounds.
 Given parallel lower and upper bounds vectors, the "combined bounds" vector
 takes the maximum absolute value of each pair of bounds, ignoring all non-
 finite values. The comment in solvers.proto:TerminationCriteria provides an
 example of the combined bounds vector. The min is over the nonzero combined
 bounds. If there are no constraints, the values returned are 0 for the
 maximum, minimum, and l2 norm and NaN for the average.
 
```
    optional double combined_bounds_max = 9;
    Parameters:
    
    value - The combinedBoundsMax to set.
    
    Returns:
    
    This builder for chaining.
  - clearCombinedBoundsMax
```
public 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.
  - hasCombinedBoundsMin
```
public boolean hasCombinedBoundsMin()
```
    optional double combined_bounds_min = 10;
    
    Specified by:
    
    hasCombinedBoundsMin in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the combinedBoundsMin field is set.
  - getCombinedBoundsMin
```
public double getCombinedBoundsMin()
```
    optional double combined_bounds_min = 10;
    
    Specified by:
    
    getCombinedBoundsMin in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The combinedBoundsMin.
  - setCombinedBoundsMin
```
public QuadraticProgramStats.Builder setCombinedBoundsMin(double value)
```
    optional double combined_bounds_min = 10;
    
    Parameters:
    
    value - The combinedBoundsMin to set.
    
    Returns:
    
    This builder for chaining.
  - clearCombinedBoundsMin
```
public QuadraticProgramStats.Builder clearCombinedBoundsMin()
```
    optional double combined_bounds_min = 10;
    
    Returns:
    
    This builder for chaining.
  - hasCombinedBoundsAvg
```
public boolean hasCombinedBoundsAvg()
```
    optional double combined_bounds_avg = 11;
    
    Specified by:
    
    hasCombinedBoundsAvg in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the combinedBoundsAvg field is set.
  - getCombinedBoundsAvg
```
public double getCombinedBoundsAvg()
```
    optional double combined_bounds_avg = 11;
    
    Specified by:
    
    getCombinedBoundsAvg in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The combinedBoundsAvg.
  - setCombinedBoundsAvg
```
public QuadraticProgramStats.Builder setCombinedBoundsAvg(double value)
```
    optional double combined_bounds_avg = 11;
    
    Parameters:
    
    value - The combinedBoundsAvg to set.
    
    Returns:
    
    This builder for chaining.
  - clearCombinedBoundsAvg
```
public QuadraticProgramStats.Builder clearCombinedBoundsAvg()
```
    optional double combined_bounds_avg = 11;
    
    Returns:
    
    This builder for chaining.
  - hasCombinedBoundsL2Norm
```
public boolean hasCombinedBoundsL2Norm()
```
    optional double combined_bounds_l2_norm = 24;
    
    Specified by:
    
    hasCombinedBoundsL2Norm in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the combinedBoundsL2Norm field is set.
  - getCombinedBoundsL2Norm
```
public double getCombinedBoundsL2Norm()
```
    optional double combined_bounds_l2_norm = 24;
    
    Specified by:
    
    getCombinedBoundsL2Norm in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The combinedBoundsL2Norm.
  - setCombinedBoundsL2Norm
```
public QuadraticProgramStats.Builder setCombinedBoundsL2Norm(double value)
```
    optional double combined_bounds_l2_norm = 24;
    
    Parameters:
    
    value - The combinedBoundsL2Norm to set.
    
    Returns:
    
    This builder for chaining.
  - clearCombinedBoundsL2Norm
```
public QuadraticProgramStats.Builder clearCombinedBoundsL2Norm()
```
    optional double combined_bounds_l2_norm = 24;
    
    Returns:
    
    This builder for chaining.
  - hasCombinedVariableBoundsMax
```
public 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;
    Specified by:
    
    hasCombinedVariableBoundsMax in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the combinedVariableBoundsMax field is set.
  - getCombinedVariableBoundsMax
```
public 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;
    Specified by:
    
    getCombinedVariableBoundsMax in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The combinedVariableBoundsMax.
  - setCombinedVariableBoundsMax
```
public QuadraticProgramStats.Builder setCombinedVariableBoundsMax(double value)
```
```
 Statistics of the combined vector of the variable lower and upper bounds.
 See the comment before `combined_bounds_max` for a description of the
 "combined bounds" vector. The min is over the nonzero combined bounds. If
 there are no variables, the values returned are 0 for the maximum, minimum,
 and l2 norm and NaN for the average.
 
```
    optional double combined_variable_bounds_max = 28;
    Parameters:
    
    value - The combinedVariableBoundsMax to set.
    
    Returns:
    
    This builder for chaining.
  - clearCombinedVariableBoundsMax
```
public 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.
  - hasCombinedVariableBoundsMin
```
public boolean hasCombinedVariableBoundsMin()
```
    optional double combined_variable_bounds_min = 29;
    
    Specified by:
    
    hasCombinedVariableBoundsMin in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the combinedVariableBoundsMin field is set.
  - getCombinedVariableBoundsMin
```
public double getCombinedVariableBoundsMin()
```
    optional double combined_variable_bounds_min = 29;
    
    Specified by:
    
    getCombinedVariableBoundsMin in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The combinedVariableBoundsMin.
  - setCombinedVariableBoundsMin
```
public QuadraticProgramStats.Builder setCombinedVariableBoundsMin(double value)
```
    optional double combined_variable_bounds_min = 29;
    
    Parameters:
    
    value - The combinedVariableBoundsMin to set.
    
    Returns:
    
    This builder for chaining.
  - clearCombinedVariableBoundsMin
```
public QuadraticProgramStats.Builder clearCombinedVariableBoundsMin()
```
    optional double combined_variable_bounds_min = 29;
    
    Returns:
    
    This builder for chaining.
  - hasCombinedVariableBoundsAvg
```
public boolean hasCombinedVariableBoundsAvg()
```
    optional double combined_variable_bounds_avg = 30;
    
    Specified by:
    
    hasCombinedVariableBoundsAvg in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the combinedVariableBoundsAvg field is set.
  - getCombinedVariableBoundsAvg
```
public double getCombinedVariableBoundsAvg()
```
    optional double combined_variable_bounds_avg = 30;
    
    Specified by:
    
    getCombinedVariableBoundsAvg in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The combinedVariableBoundsAvg.
  - setCombinedVariableBoundsAvg
```
public QuadraticProgramStats.Builder setCombinedVariableBoundsAvg(double value)
```
    optional double combined_variable_bounds_avg = 30;
    
    Parameters:
    
    value - The combinedVariableBoundsAvg to set.
    
    Returns:
    
    This builder for chaining.
  - clearCombinedVariableBoundsAvg
```
public QuadraticProgramStats.Builder clearCombinedVariableBoundsAvg()
```
    optional double combined_variable_bounds_avg = 30;
    
    Returns:
    
    This builder for chaining.
  - hasCombinedVariableBoundsL2Norm
```
public boolean hasCombinedVariableBoundsL2Norm()
```
    optional double combined_variable_bounds_l2_norm = 31;
    
    Specified by:
    
    hasCombinedVariableBoundsL2Norm in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the combinedVariableBoundsL2Norm field is set.
  - getCombinedVariableBoundsL2Norm
```
public double getCombinedVariableBoundsL2Norm()
```
    optional double combined_variable_bounds_l2_norm = 31;
    
    Specified by:
    
    getCombinedVariableBoundsL2Norm in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The combinedVariableBoundsL2Norm.
  - setCombinedVariableBoundsL2Norm
```
public QuadraticProgramStats.Builder setCombinedVariableBoundsL2Norm(double value)
```
    optional double combined_variable_bounds_l2_norm = 31;
    
    Parameters:
    
    value - The combinedVariableBoundsL2Norm to set.
    
    Returns:
    
    This builder for chaining.
  - clearCombinedVariableBoundsL2Norm
```
public QuadraticProgramStats.Builder clearCombinedVariableBoundsL2Norm()
```
    optional double combined_variable_bounds_l2_norm = 31;
    
    Returns:
    
    This builder for chaining.
  - hasVariableBoundGapsNumFinite
```
public 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;
    Specified by:
    
    hasVariableBoundGapsNumFinite in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the variableBoundGapsNumFinite field is set.
  - getVariableBoundGapsNumFinite
```
public 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;
    Specified by:
    
    getVariableBoundGapsNumFinite in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The variableBoundGapsNumFinite.
  - setVariableBoundGapsNumFinite
```
public QuadraticProgramStats.Builder setVariableBoundGapsNumFinite(long value)
```
```
 Number of finite variable bound gaps, which are the elementwise difference
 between the upper and lower bounds on primal feasible solutions.
 
```
    optional int64 variable_bound_gaps_num_finite = 12;
    Parameters:
    
    value - The variableBoundGapsNumFinite to set.
    
    Returns:
    
    This builder for chaining.
  - clearVariableBoundGapsNumFinite
```
public 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.
  - hasVariableBoundGapsMax
```
public 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;
    Specified by:
    
    hasVariableBoundGapsMax in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the variableBoundGapsMax field is set.
  - getVariableBoundGapsMax
```
public 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;
    Specified by:
    
    getVariableBoundGapsMax in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The variableBoundGapsMax.
  - setVariableBoundGapsMax
```
public QuadraticProgramStats.Builder setVariableBoundGapsMax(double value)
```
```
 Max/min/mean/l2_norm over all finite variable bound gaps. The min excludes
 zero bound gaps (i.e., fixed variables). When there are no finite gaps, the
 values returned are 0 for the maximum, minimum, and l2_norm, and NaN for
 the average.
 
```
    optional double variable_bound_gaps_max = 13;
    Parameters:
    
    value - The variableBoundGapsMax to set.
    
    Returns:
    
    This builder for chaining.
  - clearVariableBoundGapsMax
```
public 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.
  - hasVariableBoundGapsMin
```
public boolean hasVariableBoundGapsMin()
```
    optional double variable_bound_gaps_min = 14;
    
    Specified by:
    
    hasVariableBoundGapsMin in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the variableBoundGapsMin field is set.
  - getVariableBoundGapsMin
```
public double getVariableBoundGapsMin()
```
    optional double variable_bound_gaps_min = 14;
    
    Specified by:
    
    getVariableBoundGapsMin in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The variableBoundGapsMin.
  - setVariableBoundGapsMin
```
public QuadraticProgramStats.Builder setVariableBoundGapsMin(double value)
```
    optional double variable_bound_gaps_min = 14;
    
    Parameters:
    
    value - The variableBoundGapsMin to set.
    
    Returns:
    
    This builder for chaining.
  - clearVariableBoundGapsMin
```
public QuadraticProgramStats.Builder clearVariableBoundGapsMin()
```
    optional double variable_bound_gaps_min = 14;
    
    Returns:
    
    This builder for chaining.
  - hasVariableBoundGapsAvg
```
public boolean hasVariableBoundGapsAvg()
```
    optional double variable_bound_gaps_avg = 15;
    
    Specified by:
    
    hasVariableBoundGapsAvg in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the variableBoundGapsAvg field is set.
  - getVariableBoundGapsAvg
```
public double getVariableBoundGapsAvg()
```
    optional double variable_bound_gaps_avg = 15;
    
    Specified by:
    
    getVariableBoundGapsAvg in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The variableBoundGapsAvg.
  - setVariableBoundGapsAvg
```
public QuadraticProgramStats.Builder setVariableBoundGapsAvg(double value)
```
    optional double variable_bound_gaps_avg = 15;
    
    Parameters:
    
    value - The variableBoundGapsAvg to set.
    
    Returns:
    
    This builder for chaining.
  - clearVariableBoundGapsAvg
```
public QuadraticProgramStats.Builder clearVariableBoundGapsAvg()
```
    optional double variable_bound_gaps_avg = 15;
    
    Returns:
    
    This builder for chaining.
  - hasVariableBoundGapsL2Norm
```
public boolean hasVariableBoundGapsL2Norm()
```
    optional double variable_bound_gaps_l2_norm = 26;
    
    Specified by:
    
    hasVariableBoundGapsL2Norm in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the variableBoundGapsL2Norm field is set.
  - getVariableBoundGapsL2Norm
```
public double getVariableBoundGapsL2Norm()
```
    optional double variable_bound_gaps_l2_norm = 26;
    
    Specified by:
    
    getVariableBoundGapsL2Norm in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The variableBoundGapsL2Norm.
  - setVariableBoundGapsL2Norm
```
public QuadraticProgramStats.Builder setVariableBoundGapsL2Norm(double value)
```
    optional double variable_bound_gaps_l2_norm = 26;
    
    Parameters:
    
    value - The variableBoundGapsL2Norm to set.
    
    Returns:
    
    This builder for chaining.
  - clearVariableBoundGapsL2Norm
```
public QuadraticProgramStats.Builder clearVariableBoundGapsL2Norm()
```
    optional double variable_bound_gaps_l2_norm = 26;
    
    Returns:
    
    This builder for chaining.
  - hasObjectiveVectorAbsMax
```
public boolean hasObjectiveVectorAbsMax()
```
```
 Statistics of the objective vector. The min is over the nonzero terms.
 
```
    optional double objective_vector_abs_max = 16;
    Specified by:
    
    hasObjectiveVectorAbsMax in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the objectiveVectorAbsMax field is set.
  - getObjectiveVectorAbsMax
```
public double getObjectiveVectorAbsMax()
```
```
 Statistics of the objective vector. The min is over the nonzero terms.
 
```
    optional double objective_vector_abs_max = 16;
    Specified by:
    
    getObjectiveVectorAbsMax in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The objectiveVectorAbsMax.
  - setObjectiveVectorAbsMax
```
public QuadraticProgramStats.Builder setObjectiveVectorAbsMax(double value)
```
```
 Statistics of the objective vector. The min is over the nonzero terms.
 
```
    optional double objective_vector_abs_max = 16;
    Parameters:
    
    value - The objectiveVectorAbsMax to set.
    
    Returns:
    
    This builder for chaining.
  - clearObjectiveVectorAbsMax
```
public 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.
  - hasObjectiveVectorAbsMin
```
public boolean hasObjectiveVectorAbsMin()
```
    optional double objective_vector_abs_min = 17;
    
    Specified by:
    
    hasObjectiveVectorAbsMin in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the objectiveVectorAbsMin field is set.
  - getObjectiveVectorAbsMin
```
public double getObjectiveVectorAbsMin()
```
    optional double objective_vector_abs_min = 17;
    
    Specified by:
    
    getObjectiveVectorAbsMin in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The objectiveVectorAbsMin.
  - setObjectiveVectorAbsMin
```
public QuadraticProgramStats.Builder setObjectiveVectorAbsMin(double value)
```
    optional double objective_vector_abs_min = 17;
    
    Parameters:
    
    value - The objectiveVectorAbsMin to set.
    
    Returns:
    
    This builder for chaining.
  - clearObjectiveVectorAbsMin
```
public QuadraticProgramStats.Builder clearObjectiveVectorAbsMin()
```
    optional double objective_vector_abs_min = 17;
    
    Returns:
    
    This builder for chaining.
  - hasObjectiveVectorAbsAvg
```
public boolean hasObjectiveVectorAbsAvg()
```
    optional double objective_vector_abs_avg = 18;
    
    Specified by:
    
    hasObjectiveVectorAbsAvg in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the objectiveVectorAbsAvg field is set.
  - getObjectiveVectorAbsAvg
```
public double getObjectiveVectorAbsAvg()
```
    optional double objective_vector_abs_avg = 18;
    
    Specified by:
    
    getObjectiveVectorAbsAvg in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The objectiveVectorAbsAvg.
  - setObjectiveVectorAbsAvg
```
public QuadraticProgramStats.Builder setObjectiveVectorAbsAvg(double value)
```
    optional double objective_vector_abs_avg = 18;
    
    Parameters:
    
    value - The objectiveVectorAbsAvg to set.
    
    Returns:
    
    This builder for chaining.
  - clearObjectiveVectorAbsAvg
```
public QuadraticProgramStats.Builder clearObjectiveVectorAbsAvg()
```
    optional double objective_vector_abs_avg = 18;
    
    Returns:
    
    This builder for chaining.
  - hasObjectiveVectorL2Norm
```
public boolean hasObjectiveVectorL2Norm()
```
    optional double objective_vector_l2_norm = 23;
    
    Specified by:
    
    hasObjectiveVectorL2Norm in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the objectiveVectorL2Norm field is set.
  - getObjectiveVectorL2Norm
```
public double getObjectiveVectorL2Norm()
```
    optional double objective_vector_l2_norm = 23;
    
    Specified by:
    
    getObjectiveVectorL2Norm in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The objectiveVectorL2Norm.
  - setObjectiveVectorL2Norm
```
public QuadraticProgramStats.Builder setObjectiveVectorL2Norm(double value)
```
    optional double objective_vector_l2_norm = 23;
    
    Parameters:
    
    value - The objectiveVectorL2Norm to set.
    
    Returns:
    
    This builder for chaining.
  - clearObjectiveVectorL2Norm
```
public QuadraticProgramStats.Builder clearObjectiveVectorL2Norm()
```
    optional double objective_vector_l2_norm = 23;
    
    Returns:
    
    This builder for chaining.
  - hasObjectiveMatrixNumNonzeros
```
public boolean hasObjectiveMatrixNumNonzeros()
```
    optional int64 objective_matrix_num_nonzeros = 19;
    
    Specified by:
    
    hasObjectiveMatrixNumNonzeros in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the objectiveMatrixNumNonzeros field is set.
  - getObjectiveMatrixNumNonzeros
```
public long getObjectiveMatrixNumNonzeros()
```
    optional int64 objective_matrix_num_nonzeros = 19;
    
    Specified by:
    
    getObjectiveMatrixNumNonzeros in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The objectiveMatrixNumNonzeros.
  - setObjectiveMatrixNumNonzeros
```
public QuadraticProgramStats.Builder setObjectiveMatrixNumNonzeros(long value)
```
    optional int64 objective_matrix_num_nonzeros = 19;
    
    Parameters:
    
    value - The objectiveMatrixNumNonzeros to set.
    
    Returns:
    
    This builder for chaining.
  - clearObjectiveMatrixNumNonzeros
```
public QuadraticProgramStats.Builder clearObjectiveMatrixNumNonzeros()
```
    optional int64 objective_matrix_num_nonzeros = 19;
    
    Returns:
    
    This builder for chaining.
  - hasObjectiveMatrixAbsMax
```
public 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;
    Specified by:
    
    hasObjectiveMatrixAbsMax in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the objectiveMatrixAbsMax field is set.
  - getObjectiveMatrixAbsMax
```
public 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;
    Specified by:
    
    getObjectiveMatrixAbsMax in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The objectiveMatrixAbsMax.
  - setObjectiveMatrixAbsMax
```
public QuadraticProgramStats.Builder setObjectiveMatrixAbsMax(double value)
```
```
 Max/min/mean/l2_norm of absolute values of elements of the objective
 matrix. The min is over nonzero terms. If the objective matrix is empty,
 the returned values are 0.0, 0.0, NaN, and 0.0 respectively.
 
```
    optional double objective_matrix_abs_max = 20;
    Parameters:
    
    value - The objectiveMatrixAbsMax to set.
    
    Returns:
    
    This builder for chaining.
  - clearObjectiveMatrixAbsMax
```
public 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.
  - hasObjectiveMatrixAbsMin
```
public boolean hasObjectiveMatrixAbsMin()
```
    optional double objective_matrix_abs_min = 21;
    
    Specified by:
    
    hasObjectiveMatrixAbsMin in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the objectiveMatrixAbsMin field is set.
  - getObjectiveMatrixAbsMin
```
public double getObjectiveMatrixAbsMin()
```
    optional double objective_matrix_abs_min = 21;
    
    Specified by:
    
    getObjectiveMatrixAbsMin in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The objectiveMatrixAbsMin.
  - setObjectiveMatrixAbsMin
```
public QuadraticProgramStats.Builder setObjectiveMatrixAbsMin(double value)
```
    optional double objective_matrix_abs_min = 21;
    
    Parameters:
    
    value - The objectiveMatrixAbsMin to set.
    
    Returns:
    
    This builder for chaining.
  - clearObjectiveMatrixAbsMin
```
public QuadraticProgramStats.Builder clearObjectiveMatrixAbsMin()
```
    optional double objective_matrix_abs_min = 21;
    
    Returns:
    
    This builder for chaining.
  - hasObjectiveMatrixAbsAvg
```
public boolean hasObjectiveMatrixAbsAvg()
```
    optional double objective_matrix_abs_avg = 22;
    
    Specified by:
    
    hasObjectiveMatrixAbsAvg in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the objectiveMatrixAbsAvg field is set.
  - getObjectiveMatrixAbsAvg
```
public double getObjectiveMatrixAbsAvg()
```
    optional double objective_matrix_abs_avg = 22;
    
    Specified by:
    
    getObjectiveMatrixAbsAvg in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The objectiveMatrixAbsAvg.
  - setObjectiveMatrixAbsAvg
```
public QuadraticProgramStats.Builder setObjectiveMatrixAbsAvg(double value)
```
    optional double objective_matrix_abs_avg = 22;
    
    Parameters:
    
    value - The objectiveMatrixAbsAvg to set.
    
    Returns:
    
    This builder for chaining.
  - clearObjectiveMatrixAbsAvg
```
public QuadraticProgramStats.Builder clearObjectiveMatrixAbsAvg()
```
    optional double objective_matrix_abs_avg = 22;
    
    Returns:
    
    This builder for chaining.
  - hasObjectiveMatrixL2Norm
```
public boolean hasObjectiveMatrixL2Norm()
```
    optional double objective_matrix_l2_norm = 27;
    
    Specified by:
    
    hasObjectiveMatrixL2Norm in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    Whether the objectiveMatrixL2Norm field is set.
  - getObjectiveMatrixL2Norm
```
public double getObjectiveMatrixL2Norm()
```
    optional double objective_matrix_l2_norm = 27;
    
    Specified by:
    
    getObjectiveMatrixL2Norm in interface QuadraticProgramStatsOrBuilder
    
    Returns:
    
    The objectiveMatrixL2Norm.
  - setObjectiveMatrixL2Norm
```
public QuadraticProgramStats.Builder setObjectiveMatrixL2Norm(double value)
```
    optional double objective_matrix_l2_norm = 27;
    
    Parameters:
    
    value - The objectiveMatrixL2Norm to set.
    
    Returns:
    
    This builder for chaining.
  - clearObjectiveMatrixL2Norm
```
public QuadraticProgramStats.Builder clearObjectiveMatrixL2Norm()
```
    optional double objective_matrix_l2_norm = 27;
    
    Returns:
    
    This builder for chaining.

Class QuadraticProgramStats.Builder

Method Summary

Methods inherited from class com.google.protobuf.GeneratedMessage.Builder

Methods inherited from class com.google.protobuf.AbstractMessage.Builder

Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder

Methods inherited from class java.lang.Object

Methods inherited from interface com.google.protobuf.MessageOrBuilder

Methods inherited from interface com.google.protobuf.Message.Builder

Method Detail

getDescriptor

internalGetFieldAccessorTable

clear

getDescriptorForType

getDefaultInstanceForType

build

buildPartial

mergeFrom

mergeFrom

isInitialized

mergeFrom

hasNumVariables

getNumVariables

setNumVariables

clearNumVariables

hasNumConstraints

getNumConstraints

setNumConstraints

clearNumConstraints

hasConstraintMatrixColMinLInfNorm

getConstraintMatrixColMinLInfNorm

setConstraintMatrixColMinLInfNorm

clearConstraintMatrixColMinLInfNorm

hasConstraintMatrixRowMinLInfNorm

getConstraintMatrixRowMinLInfNorm

setConstraintMatrixRowMinLInfNorm

clearConstraintMatrixRowMinLInfNorm

hasConstraintMatrixNumNonzeros

getConstraintMatrixNumNonzeros

setConstraintMatrixNumNonzeros

clearConstraintMatrixNumNonzeros

hasConstraintMatrixAbsMax

getConstraintMatrixAbsMax

setConstraintMatrixAbsMax

clearConstraintMatrixAbsMax

hasConstraintMatrixAbsMin

getConstraintMatrixAbsMin

setConstraintMatrixAbsMin

clearConstraintMatrixAbsMin

hasConstraintMatrixAbsAvg

getConstraintMatrixAbsAvg

setConstraintMatrixAbsAvg

clearConstraintMatrixAbsAvg

hasConstraintMatrixL2Norm

getConstraintMatrixL2Norm

setConstraintMatrixL2Norm

clearConstraintMatrixL2Norm

hasCombinedBoundsMax

getCombinedBoundsMax

setCombinedBoundsMax

clearCombinedBoundsMax

hasCombinedBoundsMin

getCombinedBoundsMin

setCombinedBoundsMin

clearCombinedBoundsMin

hasCombinedBoundsAvg

getCombinedBoundsAvg

setCombinedBoundsAvg

clearCombinedBoundsAvg

hasCombinedBoundsL2Norm

getCombinedBoundsL2Norm

setCombinedBoundsL2Norm

clearCombinedBoundsL2Norm

hasCombinedVariableBoundsMax

getCombinedVariableBoundsMax

setCombinedVariableBoundsMax

clearCombinedVariableBoundsMax

hasCombinedVariableBoundsMin

getCombinedVariableBoundsMin

setCombinedVariableBoundsMin

clearCombinedVariableBoundsMin