Inheritance diagram for operations_research.pdlp.Solvers.PrimalDualHybridGradientParams.RestartStrategy:

Public Member Functions
final int	getNumber ()

final com.google.protobuf.Descriptors.EnumValueDescriptor	getValueDescriptor ()

final com.google.protobuf.Descriptors.EnumDescriptor	getDescriptorForType ()

Static Public Member Functions
static RestartStrategy	valueOf (int value)

static RestartStrategy	forNumber (int value)

static com.google.protobuf.Internal.EnumLiteMap< RestartStrategy >	internalGetValueMap ()

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

static RestartStrategy	valueOf (com.google.protobuf.Descriptors.EnumValueDescriptor desc)

Public Attributes
	RESTART_STRATEGY_UNSPECIFIED =(0)

	NO_RESTARTS =(1)

	EVERY_MAJOR_ITERATION =(2)

	ADAPTIVE_HEURISTIC =(3)

	ADAPTIVE_DISTANCE_BASED =(4)

Static Public Attributes
static final int	RESTART_STRATEGY_UNSPECIFIED_VALUE = 0

static final int	NO_RESTARTS_VALUE = 1

static final int	EVERY_MAJOR_ITERATION_VALUE = 2

static final int	ADAPTIVE_HEURISTIC_VALUE = 3

static final int	ADAPTIVE_DISTANCE_BASED_VALUE = 4

Detailed Description

Protobuf enum operations_research.pdlp.PrimalDualHybridGradientParams.RestartStrategy

Definition at line 6708 of file Solvers.java.

Member Function Documentation

◆ forNumber()

static RestartStrategy operations_research.pdlp.Solvers.PrimalDualHybridGradientParams.RestartStrategy.forNumber ( int value )

static

Parameters

value The numeric wire value of the corresponding enum entry.

Returns: The enum associated with the given numeric wire value.

Definition at line 6826 of file Solvers.java.

◆ getDescriptor()

static final com.google.protobuf.Descriptors.EnumDescriptor operations_research.pdlp.Solvers.PrimalDualHybridGradientParams.RestartStrategy.getDescriptor ( )

static

Definition at line 6858 of file Solvers.java.

◆ getDescriptorForType()

final com.google.protobuf.Descriptors.EnumDescriptor operations_research.pdlp.Solvers.PrimalDualHybridGradientParams.RestartStrategy.getDescriptorForType ( )

Definition at line 6854 of file Solvers.java.

◆ getNumber()

final int operations_research.pdlp.Solvers.PrimalDualHybridGradientParams.RestartStrategy.getNumber ( )

Definition at line 6808 of file Solvers.java.

◆ getValueDescriptor()

final com.google.protobuf.Descriptors.EnumValueDescriptor operations_research.pdlp.Solvers.PrimalDualHybridGradientParams.RestartStrategy.getValueDescriptor ( )

Definition at line 6850 of file Solvers.java.

◆ internalGetValueMap()

static com.google.protobuf.Internal.EnumLiteMap< RestartStrategy > operations_research.pdlp.Solvers.PrimalDualHybridGradientParams.RestartStrategy.internalGetValueMap ( )

static

Definition at line 6838 of file Solvers.java.

◆ valueOf() [1/2]

static RestartStrategy operations_research.pdlp.Solvers.PrimalDualHybridGradientParams.RestartStrategy.valueOf ( com.google.protobuf.Descriptors.EnumValueDescriptor desc )

static

Definition at line 6864 of file Solvers.java.

◆ valueOf() [2/2]

static RestartStrategy operations_research.pdlp.Solvers.PrimalDualHybridGradientParams.RestartStrategy.valueOf ( int value )

static

Parameters

value The numeric wire value of the corresponding enum entry.

Returns: The enum associated with the given numeric wire value.

Deprecated: Use forNumber(int) instead.

Definition at line 6818 of file Solvers.java.

Member Data Documentation

◆ ADAPTIVE_DISTANCE_BASED

operations_research.pdlp.Solvers.PrimalDualHybridGradientParams.RestartStrategy.ADAPTIVE_DISTANCE_BASED =(4)

A distance-based restarting scheme that restarts the algorithm whenever
an appropriate potential function is reduced sufficiently. This check
happens at every major iteration.
TODO(user): Cite paper for the restart strategy and definition of the
potential function, when available.

ADAPTIVE_DISTANCE_BASED = 4;

Definition at line 6756 of file Solvers.java.

◆ ADAPTIVE_DISTANCE_BASED_VALUE

final int operations_research.pdlp.Solvers.PrimalDualHybridGradientParams.RestartStrategy.ADAPTIVE_DISTANCE_BASED_VALUE = 4

static

A distance-based restarting scheme that restarts the algorithm whenever
an appropriate potential function is reduced sufficiently. This check
happens at every major iteration.
TODO(user): Cite paper for the restart strategy and definition of the
potential function, when available.

ADAPTIVE_DISTANCE_BASED = 4;

Definition at line 6805 of file Solvers.java.

◆ ADAPTIVE_HEURISTIC

operations_research.pdlp.Solvers.PrimalDualHybridGradientParams.RestartStrategy.ADAPTIVE_HEURISTIC =(3)

A heuristic that adaptively decides on every major iteration whether to
restart (this is forced approximately on increasing powers-of-two
iterations), and if so to the current or to the average, based on
reduction in a potential function. The rule more or less follows the
description of the adaptive restart scheme in
https://arxiv.org/pdf/2106.04756.pdf.

ADAPTIVE_HEURISTIC = 3;

Definition at line 6744 of file Solvers.java.

◆ ADAPTIVE_HEURISTIC_VALUE

final int operations_research.pdlp.Solvers.PrimalDualHybridGradientParams.RestartStrategy.ADAPTIVE_HEURISTIC_VALUE = 3

static

A heuristic that adaptively decides on every major iteration whether to
restart (this is forced approximately on increasing powers-of-two
iterations), and if so to the current or to the average, based on
reduction in a potential function. The rule more or less follows the
description of the adaptive restart scheme in
https://arxiv.org/pdf/2106.04756.pdf.

ADAPTIVE_HEURISTIC = 3;

Definition at line 6793 of file Solvers.java.

◆ EVERY_MAJOR_ITERATION

operations_research.pdlp.Solvers.PrimalDualHybridGradientParams.RestartStrategy.EVERY_MAJOR_ITERATION =(2)

On every major iteration, the current solution is reset to the average
since the last major iteration.

EVERY_MAJOR_ITERATION = 2;

Definition at line 6731 of file Solvers.java.

◆ EVERY_MAJOR_ITERATION_VALUE

final int operations_research.pdlp.Solvers.PrimalDualHybridGradientParams.RestartStrategy.EVERY_MAJOR_ITERATION_VALUE = 2

static

On every major iteration, the current solution is reset to the average
since the last major iteration.

EVERY_MAJOR_ITERATION = 2;

Definition at line 6780 of file Solvers.java.

◆ NO_RESTARTS

operations_research.pdlp.Solvers.PrimalDualHybridGradientParams.RestartStrategy.NO_RESTARTS =(1)

No restarts are performed. The average solution is cleared every major
iteration, but the current solution is not changed.

NO_RESTARTS = 1;

Definition at line 6722 of file Solvers.java.

◆ NO_RESTARTS_VALUE

final int operations_research.pdlp.Solvers.PrimalDualHybridGradientParams.RestartStrategy.NO_RESTARTS_VALUE = 1

static

No restarts are performed. The average solution is cleared every major
iteration, but the current solution is not changed.

NO_RESTARTS = 1;

Definition at line 6771 of file Solvers.java.

◆ RESTART_STRATEGY_UNSPECIFIED

operations_research.pdlp.Solvers.PrimalDualHybridGradientParams.RestartStrategy.RESTART_STRATEGY_UNSPECIFIED =(0)

RESTART_STRATEGY_UNSPECIFIED = 0;

Definition at line 6713 of file Solvers.java.

◆ RESTART_STRATEGY_UNSPECIFIED_VALUE

final int operations_research.pdlp.Solvers.PrimalDualHybridGradientParams.RestartStrategy.RESTART_STRATEGY_UNSPECIFIED_VALUE = 0

static

RESTART_STRATEGY_UNSPECIFIED = 0;

Definition at line 6762 of file Solvers.java.

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

build/java/ortools-java/src/main/java/operations_research/pdlp/Solvers.java

Public Member Functions

Static Public Member Functions

Public Attributes

Static Public Attributes

Detailed Description

Member Function Documentation

◆ forNumber()

◆ getDescriptor()

◆ getDescriptorForType()

◆ getNumber()

◆ getValueDescriptor()

◆ internalGetValueMap()

◆ valueOf() [1/2]

◆ valueOf() [2/2]

Member Data Documentation

◆ ADAPTIVE_DISTANCE_BASED

◆ ADAPTIVE_DISTANCE_BASED_VALUE

◆ ADAPTIVE_HEURISTIC

◆ ADAPTIVE_HEURISTIC_VALUE

◆ EVERY_MAJOR_ITERATION

◆ EVERY_MAJOR_ITERATION_VALUE

◆ NO_RESTARTS

◆ NO_RESTARTS_VALUE

◆ RESTART_STRATEGY_UNSPECIFIED

◆ RESTART_STRATEGY_UNSPECIFIED_VALUE