Package operations_research.pdlp

Class SolveLogOuterClass.QuadraticProgramStats.Builder

java.lang.Object

com.google.protobuf.AbstractMessageLite.Builder

com.google.protobuf.AbstractMessage.Builder<BuilderType>

com.google.protobuf.GeneratedMessageV3.Builder<SolveLogOuterClass.QuadraticProgramStats.Builder>

operations_research.pdlp.SolveLogOuterClass.QuadraticProgramStats.Builder

All Implemented Interfaces:

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

Enclosing class:

SolveLogOuterClass.QuadraticProgramStats

public static final class SolveLogOuterClass.QuadraticProgramStats.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<SolveLogOuterClass.QuadraticProgramStats.Builder>
implements SolveLogOuterClass.QuadraticProgramStatsOrBuilder

 Easy-to-compute statistics for the quadratic program.
 

Protobuf type operations_research.pdlp.QuadraticProgramStats

Method Summary

Modifier and Type	Method	Description
SolveLogOuterClass.QuadraticProgramStats.Builder	addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
SolveLogOuterClass.QuadraticProgramStats	build()
SolveLogOuterClass.QuadraticProgramStats	buildPartial()
SolveLogOuterClass.QuadraticProgramStats.Builder	clear()
SolveLogOuterClass.QuadraticProgramStats.Builder	clearCombinedBoundsAvg()	optional double combined_bounds_avg = 11;
SolveLogOuterClass.QuadraticProgramStats.Builder	clearCombinedBoundsL2Norm()	optional double combined_bounds_l2_norm = 24;
SolveLogOuterClass.QuadraticProgramStats.Builder	clearCombinedBoundsMax()	Statistics of the combined vector of the constraint lower and upper bounds.
SolveLogOuterClass.QuadraticProgramStats.Builder	clearCombinedBoundsMin()	optional double combined_bounds_min = 10;
SolveLogOuterClass.QuadraticProgramStats.Builder	clearConstraintMatrixAbsAvg()	optional double constraint_matrix_abs_avg = 8;
SolveLogOuterClass.QuadraticProgramStats.Builder	clearConstraintMatrixAbsMax()	Max/min/mean/l2_norm of absolute values of (finite) elements in constraint matrix.
SolveLogOuterClass.QuadraticProgramStats.Builder	clearConstraintMatrixAbsMin()	optional double constraint_matrix_abs_min = 7;
SolveLogOuterClass.QuadraticProgramStats.Builder	clearConstraintMatrixColMinLInfNorm()	Minimum row and column infinity norms of the constraint matrix.
SolveLogOuterClass.QuadraticProgramStats.Builder	clearConstraintMatrixL2Norm()	optional double constraint_matrix_l2_norm = 25;
SolveLogOuterClass.QuadraticProgramStats.Builder	clearConstraintMatrixNumNonzeros()	The number of (finite) nonzero entries in the constraint matrix.
SolveLogOuterClass.QuadraticProgramStats.Builder	clearConstraintMatrixRowMinLInfNorm()	optional double constraint_matrix_row_min_l_inf_norm = 4;
SolveLogOuterClass.QuadraticProgramStats.Builder	clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
SolveLogOuterClass.QuadraticProgramStats.Builder	clearNumConstraints()	optional int64 num_constraints = 2;
SolveLogOuterClass.QuadraticProgramStats.Builder	clearNumVariables()	optional int64 num_variables = 1;
SolveLogOuterClass.QuadraticProgramStats.Builder	clearObjectiveMatrixAbsAvg()	optional double objective_matrix_abs_avg = 22;
SolveLogOuterClass.QuadraticProgramStats.Builder	clearObjectiveMatrixAbsMax()	Max/min/mean/l2_norm of absolute values of elements of the objective matrix.
SolveLogOuterClass.QuadraticProgramStats.Builder	clearObjectiveMatrixAbsMin()	optional double objective_matrix_abs_min = 21;
SolveLogOuterClass.QuadraticProgramStats.Builder	clearObjectiveMatrixL2Norm()	optional double objective_matrix_l2_norm = 27;
SolveLogOuterClass.QuadraticProgramStats.Builder	clearObjectiveMatrixNumNonzeros()	optional int64 objective_matrix_num_nonzeros = 19;
SolveLogOuterClass.QuadraticProgramStats.Builder	clearObjectiveVectorAbsAvg()	optional double objective_vector_abs_avg = 18;
SolveLogOuterClass.QuadraticProgramStats.Builder	clearObjectiveVectorAbsMax()	Statistics of the objective vector.
SolveLogOuterClass.QuadraticProgramStats.Builder	clearObjectiveVectorAbsMin()	optional double objective_vector_abs_min = 17;
SolveLogOuterClass.QuadraticProgramStats.Builder	clearObjectiveVectorL2Norm()	optional double objective_vector_l2_norm = 23;
SolveLogOuterClass.QuadraticProgramStats.Builder	clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
SolveLogOuterClass.QuadraticProgramStats.Builder	clearVariableBoundGapsAvg()	optional double variable_bound_gaps_avg = 15;
SolveLogOuterClass.QuadraticProgramStats.Builder	clearVariableBoundGapsL2Norm()	optional double variable_bound_gaps_l2_norm = 26;
SolveLogOuterClass.QuadraticProgramStats.Builder	clearVariableBoundGapsMax()	Max/min/mean/l2_norm over all finite variable bound gaps.
SolveLogOuterClass.QuadraticProgramStats.Builder	clearVariableBoundGapsMin()	optional double variable_bound_gaps_min = 14;
SolveLogOuterClass.QuadraticProgramStats.Builder	clearVariableBoundGapsNumFinite()	Number of finite variable bound gaps, which are the elementwise difference between the upper and lower bounds on primal feasible solutions.
SolveLogOuterClass.QuadraticProgramStats.Builder	clone()
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	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;
SolveLogOuterClass.QuadraticProgramStats	getDefaultInstanceForType()
static final 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	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.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
final boolean	isInitialized()
SolveLogOuterClass.QuadraticProgramStats.Builder	mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
SolveLogOuterClass.QuadraticProgramStats.Builder	mergeFrom(com.google.protobuf.Message other)
SolveLogOuterClass.QuadraticProgramStats.Builder	mergeFrom(SolveLogOuterClass.QuadraticProgramStats other)
final SolveLogOuterClass.QuadraticProgramStats.Builder	mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
SolveLogOuterClass.QuadraticProgramStats.Builder	setCombinedBoundsAvg(double value)	optional double combined_bounds_avg = 11;
SolveLogOuterClass.QuadraticProgramStats.Builder	setCombinedBoundsL2Norm(double value)	optional double combined_bounds_l2_norm = 24;
SolveLogOuterClass.QuadraticProgramStats.Builder	setCombinedBoundsMax(double value)	Statistics of the combined vector of the constraint lower and upper bounds.
SolveLogOuterClass.QuadraticProgramStats.Builder	setCombinedBoundsMin(double value)	optional double combined_bounds_min = 10;
SolveLogOuterClass.QuadraticProgramStats.Builder	setConstraintMatrixAbsAvg(double value)	optional double constraint_matrix_abs_avg = 8;
SolveLogOuterClass.QuadraticProgramStats.Builder	setConstraintMatrixAbsMax(double value)	Max/min/mean/l2_norm of absolute values of (finite) elements in constraint matrix.
SolveLogOuterClass.QuadraticProgramStats.Builder	setConstraintMatrixAbsMin(double value)	optional double constraint_matrix_abs_min = 7;
SolveLogOuterClass.QuadraticProgramStats.Builder	setConstraintMatrixColMinLInfNorm(double value)	Minimum row and column infinity norms of the constraint matrix.
SolveLogOuterClass.QuadraticProgramStats.Builder	setConstraintMatrixL2Norm(double value)	optional double constraint_matrix_l2_norm = 25;
SolveLogOuterClass.QuadraticProgramStats.Builder	setConstraintMatrixNumNonzeros(long value)	The number of (finite) nonzero entries in the constraint matrix.
SolveLogOuterClass.QuadraticProgramStats.Builder	setConstraintMatrixRowMinLInfNorm(double value)	optional double constraint_matrix_row_min_l_inf_norm = 4;
SolveLogOuterClass.QuadraticProgramStats.Builder	setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
SolveLogOuterClass.QuadraticProgramStats.Builder	setNumConstraints(long value)	optional int64 num_constraints = 2;
SolveLogOuterClass.QuadraticProgramStats.Builder	setNumVariables(long value)	optional int64 num_variables = 1;
SolveLogOuterClass.QuadraticProgramStats.Builder	setObjectiveMatrixAbsAvg(double value)	optional double objective_matrix_abs_avg = 22;
SolveLogOuterClass.QuadraticProgramStats.Builder	setObjectiveMatrixAbsMax(double value)	Max/min/mean/l2_norm of absolute values of elements of the objective matrix.
SolveLogOuterClass.QuadraticProgramStats.Builder	setObjectiveMatrixAbsMin(double value)	optional double objective_matrix_abs_min = 21;
SolveLogOuterClass.QuadraticProgramStats.Builder	setObjectiveMatrixL2Norm(double value)	optional double objective_matrix_l2_norm = 27;
SolveLogOuterClass.QuadraticProgramStats.Builder	setObjectiveMatrixNumNonzeros(long value)	optional int64 objective_matrix_num_nonzeros = 19;
SolveLogOuterClass.QuadraticProgramStats.Builder	setObjectiveVectorAbsAvg(double value)	optional double objective_vector_abs_avg = 18;
SolveLogOuterClass.QuadraticProgramStats.Builder	setObjectiveVectorAbsMax(double value)	Statistics of the objective vector.
SolveLogOuterClass.QuadraticProgramStats.Builder	setObjectiveVectorAbsMin(double value)	optional double objective_vector_abs_min = 17;
SolveLogOuterClass.QuadraticProgramStats.Builder	setObjectiveVectorL2Norm(double value)	optional double objective_vector_l2_norm = 23;
SolveLogOuterClass.QuadraticProgramStats.Builder	setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
final SolveLogOuterClass.QuadraticProgramStats.Builder	setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
SolveLogOuterClass.QuadraticProgramStats.Builder	setVariableBoundGapsAvg(double value)	optional double variable_bound_gaps_avg = 15;
SolveLogOuterClass.QuadraticProgramStats.Builder	setVariableBoundGapsL2Norm(double value)	optional double variable_bound_gaps_l2_norm = 26;
SolveLogOuterClass.QuadraticProgramStats.Builder	setVariableBoundGapsMax(double value)	Max/min/mean/l2_norm over all finite variable bound gaps.
SolveLogOuterClass.QuadraticProgramStats.Builder	setVariableBoundGapsMin(double value)	optional double variable_bound_gaps_min = 14;
SolveLogOuterClass.QuadraticProgramStats.Builder	setVariableBoundGapsNumFinite(long value)	Number of finite variable bound gaps, which are the elementwise difference between the upper and lower bounds on primal feasible solutions.

Methods inherited from class com.google.protobuf.GeneratedMessageV3.Builder

getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, newBuilderForField, onBuilt, onChanged, setUnknownFieldsProto3

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

findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString

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

addAll, addAll, mergeFrom, newUninitializedMessageException

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

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

mergeFrom

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Method Details

getDescriptor

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

internalGetFieldAccessorTable

protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<SolveLogOuterClass.QuadraticProgramStats.Builder>

clear

public SolveLogOuterClass.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.GeneratedMessageV3.Builder<SolveLogOuterClass.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.GeneratedMessageV3.Builder<SolveLogOuterClass.QuadraticProgramStats.Builder>

getDefaultInstanceForType

public SolveLogOuterClass.QuadraticProgramStats getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

build

public SolveLogOuterClass.QuadraticProgramStats build()

Specified by:

build in interface com.google.protobuf.Message.Builder

Specified by:

build in interface com.google.protobuf.MessageLite.Builder

buildPartial

public SolveLogOuterClass.QuadraticProgramStats buildPartial()

Specified by:

buildPartial in interface com.google.protobuf.Message.Builder

Specified by:

buildPartial in interface com.google.protobuf.MessageLite.Builder

clone

public SolveLogOuterClass.QuadraticProgramStats.Builder clone()

Specified by:

clone in interface com.google.protobuf.Message.Builder

Specified by:

clone in interface com.google.protobuf.MessageLite.Builder

Overrides:

clone in class com.google.protobuf.GeneratedMessageV3.Builder<SolveLogOuterClass.QuadraticProgramStats.Builder>

setField

public SolveLogOuterClass.QuadraticProgramStats.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field,
 Object value)

Specified by:

setField in interface com.google.protobuf.Message.Builder

Overrides:

setField in class com.google.protobuf.GeneratedMessageV3.Builder<SolveLogOuterClass.QuadraticProgramStats.Builder>

clearField

public SolveLogOuterClass.QuadraticProgramStats.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)

Specified by:

clearField in interface com.google.protobuf.Message.Builder

Overrides:

clearField in class com.google.protobuf.GeneratedMessageV3.Builder<SolveLogOuterClass.QuadraticProgramStats.Builder>

clearOneof

public SolveLogOuterClass.QuadraticProgramStats.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)

Specified by:

clearOneof in interface com.google.protobuf.Message.Builder

Overrides:

clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<SolveLogOuterClass.QuadraticProgramStats.Builder>

setRepeatedField

public SolveLogOuterClass.QuadraticProgramStats.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
 int index,
 Object value)

Specified by:

setRepeatedField in interface com.google.protobuf.Message.Builder

Overrides:

setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<SolveLogOuterClass.QuadraticProgramStats.Builder>

addRepeatedField

public SolveLogOuterClass.QuadraticProgramStats.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
 Object value)

Specified by:

addRepeatedField in interface com.google.protobuf.Message.Builder

Overrides:

addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<SolveLogOuterClass.QuadraticProgramStats.Builder>

mergeFrom

public SolveLogOuterClass.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<SolveLogOuterClass.QuadraticProgramStats.Builder>

mergeFrom

public SolveLogOuterClass.QuadraticProgramStats.Builder mergeFrom(SolveLogOuterClass.QuadraticProgramStats other)

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<SolveLogOuterClass.QuadraticProgramStats.Builder>

mergeFrom

public SolveLogOuterClass.QuadraticProgramStats.Builder mergeFrom(com.google.protobuf.CodedInputStream input,
 com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                           throws 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<SolveLogOuterClass.QuadraticProgramStats.Builder>

Throws:

IOException

hasNumVariables

public boolean hasNumVariables()

optional int64 num_variables = 1;

Specified by:

hasNumVariables in interface SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

Whether the numVariables field is set.

getNumVariables

public long getNumVariables()

optional int64 num_variables = 1;

Specified by:

getNumVariables in interface SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

The numVariables.

setNumVariables

public SolveLogOuterClass.QuadraticProgramStats.Builder setNumVariables(long value)

optional int64 num_variables = 1;

Parameters:

value - The numVariables to set.

Returns:

This builder for chaining.

clearNumVariables

public SolveLogOuterClass.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 SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

Whether the numConstraints field is set.

getNumConstraints

public long getNumConstraints()

optional int64 num_constraints = 2;

Specified by:

getNumConstraints in interface SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

The numConstraints.

setNumConstraints

public SolveLogOuterClass.QuadraticProgramStats.Builder setNumConstraints(long value)

optional int64 num_constraints = 2;

Parameters:

value - The numConstraints to set.

Returns:

This builder for chaining.

clearNumConstraints

public SolveLogOuterClass.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 SolveLogOuterClass.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 SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

The constraintMatrixColMinLInfNorm.

setConstraintMatrixColMinLInfNorm

public SolveLogOuterClass.QuadraticProgramStats.Builder setConstraintMatrixColMinLInfNorm(double value)

 Minimum row and column infinity norms of the constraint matrix. All-zero
 rows and columns are excluded. If the constraint matrix contains no nonzero
 entries, the values returned are 0.0.
 

optional double constraint_matrix_col_min_l_inf_norm = 3;

Parameters:

value - The constraintMatrixColMinLInfNorm to set.

Returns:

This builder for chaining.

clearConstraintMatrixColMinLInfNorm

public SolveLogOuterClass.QuadraticProgramStats.Builder clearConstraintMatrixColMinLInfNorm()

 Minimum row and column infinity norms of the constraint matrix. All-zero
 rows and columns are excluded. If the constraint matrix contains no nonzero
 entries, the values returned are 0.0.
 

optional double constraint_matrix_col_min_l_inf_norm = 3;

Returns:

This builder for chaining.

hasConstraintMatrixRowMinLInfNorm

public boolean hasConstraintMatrixRowMinLInfNorm()

optional double constraint_matrix_row_min_l_inf_norm = 4;

Specified by:

hasConstraintMatrixRowMinLInfNorm in interface SolveLogOuterClass.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 SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

The constraintMatrixRowMinLInfNorm.

setConstraintMatrixRowMinLInfNorm

public SolveLogOuterClass.QuadraticProgramStats.Builder setConstraintMatrixRowMinLInfNorm(double value)

optional double constraint_matrix_row_min_l_inf_norm = 4;

Parameters:

value - The constraintMatrixRowMinLInfNorm to set.

Returns:

This builder for chaining.

clearConstraintMatrixRowMinLInfNorm

public SolveLogOuterClass.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 SolveLogOuterClass.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 SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

The constraintMatrixNumNonzeros.

setConstraintMatrixNumNonzeros

public SolveLogOuterClass.QuadraticProgramStats.Builder setConstraintMatrixNumNonzeros(long value)

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

optional int64 constraint_matrix_num_nonzeros = 5;

Parameters:

value - The constraintMatrixNumNonzeros to set.

Returns:

This builder for chaining.

clearConstraintMatrixNumNonzeros

public SolveLogOuterClass.QuadraticProgramStats.Builder clearConstraintMatrixNumNonzeros()

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

optional int64 constraint_matrix_num_nonzeros = 5;

Returns:

This builder for chaining.

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 SolveLogOuterClass.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 SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

The constraintMatrixAbsMax.

setConstraintMatrixAbsMax

public SolveLogOuterClass.QuadraticProgramStats.Builder setConstraintMatrixAbsMax(double value)

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

optional double constraint_matrix_abs_max = 6;

Parameters:

value - The constraintMatrixAbsMax to set.

Returns:

This builder for chaining.

clearConstraintMatrixAbsMax

public SolveLogOuterClass.QuadraticProgramStats.Builder clearConstraintMatrixAbsMax()

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

optional double constraint_matrix_abs_max = 6;

Returns:

This builder for chaining.

hasConstraintMatrixAbsMin

public boolean hasConstraintMatrixAbsMin()

optional double constraint_matrix_abs_min = 7;

Specified by:

hasConstraintMatrixAbsMin in interface SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

Whether the constraintMatrixAbsMin field is set.

getConstraintMatrixAbsMin

public double getConstraintMatrixAbsMin()

optional double constraint_matrix_abs_min = 7;

Specified by:

getConstraintMatrixAbsMin in interface SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

The constraintMatrixAbsMin.

setConstraintMatrixAbsMin

public SolveLogOuterClass.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 SolveLogOuterClass.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 SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

Whether the constraintMatrixAbsAvg field is set.

getConstraintMatrixAbsAvg

public double getConstraintMatrixAbsAvg()

optional double constraint_matrix_abs_avg = 8;

Specified by:

getConstraintMatrixAbsAvg in interface SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

The constraintMatrixAbsAvg.

setConstraintMatrixAbsAvg

public SolveLogOuterClass.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 SolveLogOuterClass.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 SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

Whether the constraintMatrixL2Norm field is set.

getConstraintMatrixL2Norm

public double getConstraintMatrixL2Norm()

optional double constraint_matrix_l2_norm = 25;

Specified by:

getConstraintMatrixL2Norm in interface SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

The constraintMatrixL2Norm.

setConstraintMatrixL2Norm

public SolveLogOuterClass.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 SolveLogOuterClass.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 SolveLogOuterClass.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 SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

The combinedBoundsMax.

setCombinedBoundsMax

public SolveLogOuterClass.QuadraticProgramStats.Builder setCombinedBoundsMax(double value)

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

optional double combined_bounds_max = 9;

Parameters:

value - The combinedBoundsMax to set.

Returns:

This builder for chaining.

clearCombinedBoundsMax

public SolveLogOuterClass.QuadraticProgramStats.Builder clearCombinedBoundsMax()

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

optional double combined_bounds_max = 9;

Returns:

This builder for chaining.

hasCombinedBoundsMin

public boolean hasCombinedBoundsMin()

optional double combined_bounds_min = 10;

Specified by:

hasCombinedBoundsMin in interface SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

Whether the combinedBoundsMin field is set.

getCombinedBoundsMin

public double getCombinedBoundsMin()

optional double combined_bounds_min = 10;

Specified by:

getCombinedBoundsMin in interface SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

The combinedBoundsMin.

setCombinedBoundsMin

public SolveLogOuterClass.QuadraticProgramStats.Builder setCombinedBoundsMin(double value)

optional double combined_bounds_min = 10;

Parameters:

value - The combinedBoundsMin to set.

Returns:

This builder for chaining.

clearCombinedBoundsMin

public SolveLogOuterClass.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 SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

Whether the combinedBoundsAvg field is set.

getCombinedBoundsAvg

public double getCombinedBoundsAvg()

optional double combined_bounds_avg = 11;

Specified by:

getCombinedBoundsAvg in interface SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

The combinedBoundsAvg.

setCombinedBoundsAvg

public SolveLogOuterClass.QuadraticProgramStats.Builder setCombinedBoundsAvg(double value)

optional double combined_bounds_avg = 11;

Parameters:

value - The combinedBoundsAvg to set.

Returns:

This builder for chaining.

clearCombinedBoundsAvg

public SolveLogOuterClass.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 SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

Whether the combinedBoundsL2Norm field is set.

getCombinedBoundsL2Norm

public double getCombinedBoundsL2Norm()

optional double combined_bounds_l2_norm = 24;

Specified by:

getCombinedBoundsL2Norm in interface SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

The combinedBoundsL2Norm.

setCombinedBoundsL2Norm

public SolveLogOuterClass.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 SolveLogOuterClass.QuadraticProgramStats.Builder clearCombinedBoundsL2Norm()

optional double combined_bounds_l2_norm = 24;

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 SolveLogOuterClass.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 SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

The variableBoundGapsNumFinite.

setVariableBoundGapsNumFinite

public SolveLogOuterClass.QuadraticProgramStats.Builder setVariableBoundGapsNumFinite(long value)

 Number of finite variable bound gaps, which are the elementwise difference
 between the upper and lower bounds on primal feasible solutions.
 

optional int64 variable_bound_gaps_num_finite = 12;

Parameters:

value - The variableBoundGapsNumFinite to set.

Returns:

This builder for chaining.

clearVariableBoundGapsNumFinite

public SolveLogOuterClass.QuadraticProgramStats.Builder clearVariableBoundGapsNumFinite()

 Number of finite variable bound gaps, which are the elementwise difference
 between the upper and lower bounds on primal feasible solutions.
 

optional int64 variable_bound_gaps_num_finite = 12;

Returns:

This builder for chaining.

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 SolveLogOuterClass.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 SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

The variableBoundGapsMax.

setVariableBoundGapsMax

public SolveLogOuterClass.QuadraticProgramStats.Builder setVariableBoundGapsMax(double value)

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

optional double variable_bound_gaps_max = 13;

Parameters:

value - The variableBoundGapsMax to set.

Returns:

This builder for chaining.

clearVariableBoundGapsMax

public SolveLogOuterClass.QuadraticProgramStats.Builder clearVariableBoundGapsMax()

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

optional double variable_bound_gaps_max = 13;

Returns:

This builder for chaining.

hasVariableBoundGapsMin

public boolean hasVariableBoundGapsMin()

optional double variable_bound_gaps_min = 14;

Specified by:

hasVariableBoundGapsMin in interface SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

Whether the variableBoundGapsMin field is set.

getVariableBoundGapsMin

public double getVariableBoundGapsMin()

optional double variable_bound_gaps_min = 14;

Specified by:

getVariableBoundGapsMin in interface SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

The variableBoundGapsMin.

setVariableBoundGapsMin

public SolveLogOuterClass.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 SolveLogOuterClass.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 SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

Whether the variableBoundGapsAvg field is set.

getVariableBoundGapsAvg

public double getVariableBoundGapsAvg()

optional double variable_bound_gaps_avg = 15;

Specified by:

getVariableBoundGapsAvg in interface SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

The variableBoundGapsAvg.

setVariableBoundGapsAvg

public SolveLogOuterClass.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 SolveLogOuterClass.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 SolveLogOuterClass.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 SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

The variableBoundGapsL2Norm.

setVariableBoundGapsL2Norm

public SolveLogOuterClass.QuadraticProgramStats.Builder setVariableBoundGapsL2Norm(double value)

optional double variable_bound_gaps_l2_norm = 26;

Parameters:

value - The variableBoundGapsL2Norm to set.

Returns:

This builder for chaining.

clearVariableBoundGapsL2Norm

public SolveLogOuterClass.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 SolveLogOuterClass.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 SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

The objectiveVectorAbsMax.

setObjectiveVectorAbsMax

public SolveLogOuterClass.QuadraticProgramStats.Builder setObjectiveVectorAbsMax(double value)

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

optional double objective_vector_abs_max = 16;

Parameters:

value - The objectiveVectorAbsMax to set.

Returns:

This builder for chaining.

clearObjectiveVectorAbsMax

public SolveLogOuterClass.QuadraticProgramStats.Builder clearObjectiveVectorAbsMax()

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

optional double objective_vector_abs_max = 16;

Returns:

This builder for chaining.

hasObjectiveVectorAbsMin

public boolean hasObjectiveVectorAbsMin()

optional double objective_vector_abs_min = 17;

Specified by:

hasObjectiveVectorAbsMin in interface SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

Whether the objectiveVectorAbsMin field is set.

getObjectiveVectorAbsMin

public double getObjectiveVectorAbsMin()

optional double objective_vector_abs_min = 17;

Specified by:

getObjectiveVectorAbsMin in interface SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

The objectiveVectorAbsMin.

setObjectiveVectorAbsMin

public SolveLogOuterClass.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 SolveLogOuterClass.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 SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

Whether the objectiveVectorAbsAvg field is set.

getObjectiveVectorAbsAvg

public double getObjectiveVectorAbsAvg()

optional double objective_vector_abs_avg = 18;

Specified by:

getObjectiveVectorAbsAvg in interface SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

The objectiveVectorAbsAvg.

setObjectiveVectorAbsAvg

public SolveLogOuterClass.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 SolveLogOuterClass.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 SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

Whether the objectiveVectorL2Norm field is set.

getObjectiveVectorL2Norm

public double getObjectiveVectorL2Norm()

optional double objective_vector_l2_norm = 23;

Specified by:

getObjectiveVectorL2Norm in interface SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

The objectiveVectorL2Norm.

setObjectiveVectorL2Norm

public SolveLogOuterClass.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 SolveLogOuterClass.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 SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

Whether the objectiveMatrixNumNonzeros field is set.

getObjectiveMatrixNumNonzeros

public long getObjectiveMatrixNumNonzeros()

optional int64 objective_matrix_num_nonzeros = 19;

Specified by:

getObjectiveMatrixNumNonzeros in interface SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

The objectiveMatrixNumNonzeros.

setObjectiveMatrixNumNonzeros

public SolveLogOuterClass.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 SolveLogOuterClass.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 SolveLogOuterClass.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 SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

The objectiveMatrixAbsMax.

setObjectiveMatrixAbsMax

public SolveLogOuterClass.QuadraticProgramStats.Builder setObjectiveMatrixAbsMax(double value)

 Max/min/mean/l2_norm of absolute values of elements of the objective
 matrix. The min is over nonzero terms. If the objective matrix is empty,
 the returned values are 0.0, 0.0, NaN, and 0.0 respectively.
 

optional double objective_matrix_abs_max = 20;

Parameters:

value - The objectiveMatrixAbsMax to set.

Returns:

This builder for chaining.

clearObjectiveMatrixAbsMax

public SolveLogOuterClass.QuadraticProgramStats.Builder clearObjectiveMatrixAbsMax()

 Max/min/mean/l2_norm of absolute values of elements of the objective
 matrix. The min is over nonzero terms. If the objective matrix is empty,
 the returned values are 0.0, 0.0, NaN, and 0.0 respectively.
 

optional double objective_matrix_abs_max = 20;

Returns:

This builder for chaining.

hasObjectiveMatrixAbsMin

public boolean hasObjectiveMatrixAbsMin()

optional double objective_matrix_abs_min = 21;

Specified by:

hasObjectiveMatrixAbsMin in interface SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

Whether the objectiveMatrixAbsMin field is set.

getObjectiveMatrixAbsMin

public double getObjectiveMatrixAbsMin()

optional double objective_matrix_abs_min = 21;

Specified by:

getObjectiveMatrixAbsMin in interface SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

The objectiveMatrixAbsMin.

setObjectiveMatrixAbsMin

public SolveLogOuterClass.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 SolveLogOuterClass.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 SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

Whether the objectiveMatrixAbsAvg field is set.

getObjectiveMatrixAbsAvg

public double getObjectiveMatrixAbsAvg()

optional double objective_matrix_abs_avg = 22;

Specified by:

getObjectiveMatrixAbsAvg in interface SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

The objectiveMatrixAbsAvg.

setObjectiveMatrixAbsAvg

public SolveLogOuterClass.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 SolveLogOuterClass.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 SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

Whether the objectiveMatrixL2Norm field is set.

getObjectiveMatrixL2Norm

public double getObjectiveMatrixL2Norm()

optional double objective_matrix_l2_norm = 27;

Specified by:

getObjectiveMatrixL2Norm in interface SolveLogOuterClass.QuadraticProgramStatsOrBuilder

Returns:

The objectiveMatrixL2Norm.

setObjectiveMatrixL2Norm

public SolveLogOuterClass.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 SolveLogOuterClass.QuadraticProgramStats.Builder clearObjectiveMatrixL2Norm()

optional double objective_matrix_l2_norm = 27;

Returns:

This builder for chaining.

setUnknownFields

public final SolveLogOuterClass.QuadraticProgramStats.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Specified by:

setUnknownFields in interface com.google.protobuf.Message.Builder

Overrides:

setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<SolveLogOuterClass.QuadraticProgramStats.Builder>

mergeUnknownFields

public final SolveLogOuterClass.QuadraticProgramStats.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Specified by:

mergeUnknownFields in interface com.google.protobuf.Message.Builder

Overrides:

mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<SolveLogOuterClass.QuadraticProgramStats.Builder>