com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder Interface Reference

Inheritance diagram for com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder:

Public Member Functions
boolean	hasRelativeMipGap ()
com.google.ortools.linearsolver.OptionalDouble	getRelativeMipGap ()
com.google.ortools.linearsolver.OptionalDoubleOrBuilder	getRelativeMipGapOrBuilder ()
boolean	hasPrimalTolerance ()
com.google.ortools.linearsolver.OptionalDouble	getPrimalTolerance ()
com.google.ortools.linearsolver.OptionalDoubleOrBuilder	getPrimalToleranceOrBuilder ()
boolean	hasDualTolerance ()
com.google.ortools.linearsolver.OptionalDouble	getDualTolerance ()
com.google.ortools.linearsolver.OptionalDoubleOrBuilder	getDualToleranceOrBuilder ()
boolean	hasLpAlgorithm ()
com.google.ortools.linearsolver.MPSolverCommonParameters.LPAlgorithmValues	getLpAlgorithm ()
boolean	hasPresolve ()
com.google.ortools.util.OptionalBoolean	getPresolve ()
boolean	hasScaling ()
com.google.ortools.util.OptionalBoolean	getScaling ()

Detailed Description

Definition at line 7 of file MPSolverCommonParametersOrBuilder.java.

Member Function Documentation

getDualTolerance()

com.google.ortools.linearsolver.OptionalDouble com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.getDualTolerance

(

)

Tolerance for dual feasibility.
For SCIP and Gurobi this is the feasibility tolerance for reduced costs in
LP solution: reduced costs must all be smaller than this value in the
improving direction in order for a model to be declared optimal.
Not supported for other solvers.

optional .operations_research.OptionalDouble dual_tolerance = 3;

Returns

The dualTolerance.

Implemented in com.google.ortools.linearsolver.MPSolverCommonParameters, and com.google.ortools.linearsolver.MPSolverCommonParameters.Builder.

getDualToleranceOrBuilder()

com.google.ortools.linearsolver.OptionalDoubleOrBuilder com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.getDualToleranceOrBuilder

(

)

Tolerance for dual feasibility.
For SCIP and Gurobi this is the feasibility tolerance for reduced costs in
LP solution: reduced costs must all be smaller than this value in the
improving direction in order for a model to be declared optimal.
Not supported for other solvers.

optional .operations_research.OptionalDouble dual_tolerance = 3;

Implemented in com.google.ortools.linearsolver.MPSolverCommonParameters, and com.google.ortools.linearsolver.MPSolverCommonParameters.Builder.

getLpAlgorithm()

com.google.ortools.linearsolver.MPSolverCommonParameters.LPAlgorithmValues com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.getLpAlgorithm

(

)

Algorithm to solve linear programs.
Ask or-core-team@ if you want to know what this does exactly.

optional .operations_research.MPSolverCommonParameters.LPAlgorithmValues lp_algorithm = 4 [default = LP_ALGO_UNSPECIFIED];

Returns

The lpAlgorithm.

Implemented in com.google.ortools.linearsolver.MPSolverCommonParameters, and com.google.ortools.linearsolver.MPSolverCommonParameters.Builder.

getPresolve()

com.google.ortools.util.OptionalBoolean com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.getPresolve

(

)

Gurobi and SCIP enable presolve by default.
Ask or-core-team@ for other solvers.

optional .operations_research.OptionalBoolean presolve = 5 [default = BOOL_UNSPECIFIED];

Returns

The presolve.

Implemented in com.google.ortools.linearsolver.MPSolverCommonParameters, and com.google.ortools.linearsolver.MPSolverCommonParameters.Builder.

getPrimalTolerance()

com.google.ortools.linearsolver.OptionalDouble com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.getPrimalTolerance

(

)

Tolerance for primal feasibility of basic solutions: this is the maximum
allowed error in constraint satisfiability.
For SCIP this includes integrality constraints. For Gurobi it does not, you
need to set the custom parameter IntFeasTol.

optional .operations_research.OptionalDouble primal_tolerance = 2;

Returns

The primalTolerance.

Implemented in com.google.ortools.linearsolver.MPSolverCommonParameters, and com.google.ortools.linearsolver.MPSolverCommonParameters.Builder.

getPrimalToleranceOrBuilder()

com.google.ortools.linearsolver.OptionalDoubleOrBuilder com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.getPrimalToleranceOrBuilder

(

)

Tolerance for primal feasibility of basic solutions: this is the maximum
allowed error in constraint satisfiability.
For SCIP this includes integrality constraints. For Gurobi it does not, you
need to set the custom parameter IntFeasTol.

optional .operations_research.OptionalDouble primal_tolerance = 2;

Implemented in com.google.ortools.linearsolver.MPSolverCommonParameters, and com.google.ortools.linearsolver.MPSolverCommonParameters.Builder.

getRelativeMipGap()

com.google.ortools.linearsolver.OptionalDouble com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.getRelativeMipGap

(

)

The solver stops if the relative MIP gap reaches this value or below.
The relative MIP gap is an upper bound of the relative distance to the
optimum, and it is defined as:

  abs(best_bound - incumbent) / abs(incumbent) [Gurobi]
  abs(best_bound - incumbent) / min(abs(best_bound), abs(incumbent)) [SCIP]

where "incumbent" is the objective value of the best solution found so far
(i.e., lowest when minimizing, highest when maximizing), and "best_bound"
is the tightest bound of the objective determined so far (i.e., highest
when minimizing, and lowest when maximizing). The MIP Gap is sensitive to
objective offset. If the denominator is 0 the MIP Gap is INFINITY for SCIP
and Gurobi. Of note, "incumbent" and "best bound" are called "primal bound"
and "dual bound" in SCIP, respectively.
Ask or-core-team@ for other solvers.

optional .operations_research.OptionalDouble relative_mip_gap = 1;

Returns

The relativeMipGap.

Implemented in com.google.ortools.linearsolver.MPSolverCommonParameters, and com.google.ortools.linearsolver.MPSolverCommonParameters.Builder.

getRelativeMipGapOrBuilder()

com.google.ortools.linearsolver.OptionalDoubleOrBuilder com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.getRelativeMipGapOrBuilder

(

)

The solver stops if the relative MIP gap reaches this value or below.
The relative MIP gap is an upper bound of the relative distance to the
optimum, and it is defined as:

  abs(best_bound - incumbent) / abs(incumbent) [Gurobi]
  abs(best_bound - incumbent) / min(abs(best_bound), abs(incumbent)) [SCIP]

where "incumbent" is the objective value of the best solution found so far
(i.e., lowest when minimizing, highest when maximizing), and "best_bound"
is the tightest bound of the objective determined so far (i.e., highest
when minimizing, and lowest when maximizing). The MIP Gap is sensitive to
objective offset. If the denominator is 0 the MIP Gap is INFINITY for SCIP
and Gurobi. Of note, "incumbent" and "best bound" are called "primal bound"
and "dual bound" in SCIP, respectively.
Ask or-core-team@ for other solvers.

optional .operations_research.OptionalDouble relative_mip_gap = 1;

Implemented in com.google.ortools.linearsolver.MPSolverCommonParameters, and com.google.ortools.linearsolver.MPSolverCommonParameters.Builder.

getScaling()

com.google.ortools.util.OptionalBoolean com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.getScaling

(

)

Enable automatic scaling of matrix coefficients and objective. Available
for Gurobi and GLOP.
Ask or-core-team@ if you want more details.

optional .operations_research.OptionalBoolean scaling = 7 [default = BOOL_UNSPECIFIED];

Returns

The scaling.

Implemented in com.google.ortools.linearsolver.MPSolverCommonParameters, and com.google.ortools.linearsolver.MPSolverCommonParameters.Builder.

hasDualTolerance()

boolean com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.hasDualTolerance

(

)

Tolerance for dual feasibility.
For SCIP and Gurobi this is the feasibility tolerance for reduced costs in
LP solution: reduced costs must all be smaller than this value in the
improving direction in order for a model to be declared optimal.
Not supported for other solvers.

optional .operations_research.OptionalDouble dual_tolerance = 3;

Returns

Whether the dualTolerance field is set.

Implemented in com.google.ortools.linearsolver.MPSolverCommonParameters, and com.google.ortools.linearsolver.MPSolverCommonParameters.Builder.

hasLpAlgorithm()

boolean com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.hasLpAlgorithm

(

)

Algorithm to solve linear programs.
Ask or-core-team@ if you want to know what this does exactly.

optional .operations_research.MPSolverCommonParameters.LPAlgorithmValues lp_algorithm = 4 [default = LP_ALGO_UNSPECIFIED];

Returns

Whether the lpAlgorithm field is set.

Implemented in com.google.ortools.linearsolver.MPSolverCommonParameters, and com.google.ortools.linearsolver.MPSolverCommonParameters.Builder.

hasPresolve()

boolean com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.hasPresolve

(

)

Gurobi and SCIP enable presolve by default.
Ask or-core-team@ for other solvers.

optional .operations_research.OptionalBoolean presolve = 5 [default = BOOL_UNSPECIFIED];

Returns

Whether the presolve field is set.

Implemented in com.google.ortools.linearsolver.MPSolverCommonParameters, and com.google.ortools.linearsolver.MPSolverCommonParameters.Builder.

hasPrimalTolerance()

boolean com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.hasPrimalTolerance

(

)

Tolerance for primal feasibility of basic solutions: this is the maximum
allowed error in constraint satisfiability.
For SCIP this includes integrality constraints. For Gurobi it does not, you
need to set the custom parameter IntFeasTol.

optional .operations_research.OptionalDouble primal_tolerance = 2;

Returns

Whether the primalTolerance field is set.

Implemented in com.google.ortools.linearsolver.MPSolverCommonParameters, and com.google.ortools.linearsolver.MPSolverCommonParameters.Builder.

hasRelativeMipGap()

boolean com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.hasRelativeMipGap

(

)

The solver stops if the relative MIP gap reaches this value or below.
The relative MIP gap is an upper bound of the relative distance to the
optimum, and it is defined as:

  abs(best_bound - incumbent) / abs(incumbent) [Gurobi]
  abs(best_bound - incumbent) / min(abs(best_bound), abs(incumbent)) [SCIP]

where "incumbent" is the objective value of the best solution found so far
(i.e., lowest when minimizing, highest when maximizing), and "best_bound"
is the tightest bound of the objective determined so far (i.e., highest
when minimizing, and lowest when maximizing). The MIP Gap is sensitive to
objective offset. If the denominator is 0 the MIP Gap is INFINITY for SCIP
and Gurobi. Of note, "incumbent" and "best bound" are called "primal bound"
and "dual bound" in SCIP, respectively.
Ask or-core-team@ for other solvers.

optional .operations_research.OptionalDouble relative_mip_gap = 1;

Returns

Whether the relativeMipGap field is set.

Implemented in com.google.ortools.linearsolver.MPSolverCommonParameters, and com.google.ortools.linearsolver.MPSolverCommonParameters.Builder.

hasScaling()

boolean com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.hasScaling

(

)

Enable automatic scaling of matrix coefficients and objective. Available
for Gurobi and GLOP.
Ask or-core-team@ if you want more details.

optional .operations_research.OptionalBoolean scaling = 7 [default = BOOL_UNSPECIFIED];

Returns

Whether the scaling field is set.

Implemented in com.google.ortools.linearsolver.MPSolverCommonParameters, and com.google.ortools.linearsolver.MPSolverCommonParameters.Builder.

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

• build/java/ortools-java/src/main/java/com/google/ortools/linearsolver/MPSolverCommonParametersOrBuilder.java