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Google OR-Tools v9.14
a fast and portable software suite for combinatorial optimization
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MPSolverCommonParameters holds advanced usage parameters that apply to any of the solvers we support. All of the fields in this proto can have a value of unspecified. In this case each inner solver will use their own safe defaults. Some values won't be supported by some solvers. The behavior in that case is not defined yet.
Protobuf type operations_research.MPSolverCommonParameters
Definition at line 21 of file MPSolverCommonParameters.java.
Classes | |
class | Builder |
enum | LPAlgorithmValues |
Static Public Member Functions | |
static final com.google.protobuf.Descriptors.Descriptor | getDescriptor () |
static com.google.ortools.linearsolver.MPSolverCommonParameters | parseFrom (java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException |
static com.google.ortools.linearsolver.MPSolverCommonParameters | parseFrom (java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException |
static com.google.ortools.linearsolver.MPSolverCommonParameters | parseFrom (com.google.protobuf.ByteString data) throws com.google.protobuf.InvalidProtocolBufferException |
static com.google.ortools.linearsolver.MPSolverCommonParameters | parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException |
static com.google.ortools.linearsolver.MPSolverCommonParameters | parseFrom (byte[] data) throws com.google.protobuf.InvalidProtocolBufferException |
static com.google.ortools.linearsolver.MPSolverCommonParameters | parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException |
static com.google.ortools.linearsolver.MPSolverCommonParameters | parseFrom (java.io.InputStream input) throws java.io.IOException |
static com.google.ortools.linearsolver.MPSolverCommonParameters | parseFrom (java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException |
static com.google.ortools.linearsolver.MPSolverCommonParameters | parseDelimitedFrom (java.io.InputStream input) throws java.io.IOException |
static com.google.ortools.linearsolver.MPSolverCommonParameters | parseDelimitedFrom (java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException |
static com.google.ortools.linearsolver.MPSolverCommonParameters | parseFrom (com.google.protobuf.CodedInputStream input) throws java.io.IOException |
static com.google.ortools.linearsolver.MPSolverCommonParameters | parseFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException |
static Builder | newBuilder () |
static Builder | newBuilder (com.google.ortools.linearsolver.MPSolverCommonParameters prototype) |
static com.google.ortools.linearsolver.MPSolverCommonParameters | getDefaultInstance () |
static com.google.protobuf.Parser< MPSolverCommonParameters > | parser () |
Static Public Attributes | |
static final int | RELATIVE_MIP_GAP_FIELD_NUMBER = 1 |
static final int | PRIMAL_TOLERANCE_FIELD_NUMBER = 2 |
static final int | DUAL_TOLERANCE_FIELD_NUMBER = 3 |
static final int | LP_ALGORITHM_FIELD_NUMBER = 4 |
static final int | PRESOLVE_FIELD_NUMBER = 5 |
static final int | SCALING_FIELD_NUMBER = 7 |
Protected Member Functions | |
com.google.protobuf.GeneratedMessage.FieldAccessorTable | internalGetFieldAccessorTable () |
Builder | newBuilderForType (com.google.protobuf.GeneratedMessage.BuilderParent parent) |
boolean com.google.ortools.linearsolver.MPSolverCommonParameters.equals | ( | final java.lang.Object | obj | ) |
Definition at line 540 of file MPSolverCommonParameters.java.
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Definition at line 1827 of file MPSolverCommonParameters.java.
com.google.ortools.linearsolver.MPSolverCommonParameters com.google.ortools.linearsolver.MPSolverCommonParameters.getDefaultInstanceForType | ( | ) |
Definition at line 1863 of file MPSolverCommonParameters.java.
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Definition at line 46 of file MPSolverCommonParameters.java.
com.google.ortools.linearsolver.OptionalDouble com.google.ortools.linearsolver.MPSolverCommonParameters.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;
Implements com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.
Definition at line 364 of file MPSolverCommonParameters.java.
com.google.ortools.linearsolver.OptionalDoubleOrBuilder com.google.ortools.linearsolver.MPSolverCommonParameters.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;
Implements com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.
Definition at line 379 of file MPSolverCommonParameters.java.
com.google.ortools.linearsolver.MPSolverCommonParameters.LPAlgorithmValues com.google.ortools.linearsolver.MPSolverCommonParameters.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];
Implements com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.
Definition at line 406 of file MPSolverCommonParameters.java.
com.google.protobuf.Parser< MPSolverCommonParameters > com.google.ortools.linearsolver.MPSolverCommonParameters.getParserForType | ( | ) |
Definition at line 1858 of file MPSolverCommonParameters.java.
com.google.ortools.util.OptionalBoolean com.google.ortools.linearsolver.MPSolverCommonParameters.getPresolve | ( | ) |
Gurobi and SCIP enable presolve by default. Ask or-core-team@ for other solvers.
optional .operations_research.OptionalBoolean presolve = 5 [default = BOOL_UNSPECIFIED];
Implements com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.
Definition at line 434 of file MPSolverCommonParameters.java.
com.google.ortools.linearsolver.OptionalDouble com.google.ortools.linearsolver.MPSolverCommonParameters.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;
Implements com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.
Definition at line 315 of file MPSolverCommonParameters.java.
com.google.ortools.linearsolver.OptionalDoubleOrBuilder com.google.ortools.linearsolver.MPSolverCommonParameters.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;
Implements com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.
Definition at line 329 of file MPSolverCommonParameters.java.
com.google.ortools.linearsolver.OptionalDouble com.google.ortools.linearsolver.MPSolverCommonParameters.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;
Implements com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.
Definition at line 257 of file MPSolverCommonParameters.java.
com.google.ortools.linearsolver.OptionalDoubleOrBuilder com.google.ortools.linearsolver.MPSolverCommonParameters.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;
Implements com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.
Definition at line 282 of file MPSolverCommonParameters.java.
com.google.ortools.util.OptionalBoolean com.google.ortools.linearsolver.MPSolverCommonParameters.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];
Implements com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.
Definition at line 464 of file MPSolverCommonParameters.java.
int com.google.ortools.linearsolver.MPSolverCommonParameters.getSerializedSize | ( | ) |
Definition at line 505 of file MPSolverCommonParameters.java.
boolean com.google.ortools.linearsolver.MPSolverCommonParameters.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;
Implements com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.
Definition at line 348 of file MPSolverCommonParameters.java.
int com.google.ortools.linearsolver.MPSolverCommonParameters.hashCode | ( | ) |
Definition at line 581 of file MPSolverCommonParameters.java.
boolean com.google.ortools.linearsolver.MPSolverCommonParameters.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];
Implements com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.
Definition at line 394 of file MPSolverCommonParameters.java.
boolean com.google.ortools.linearsolver.MPSolverCommonParameters.hasPresolve | ( | ) |
Gurobi and SCIP enable presolve by default. Ask or-core-team@ for other solvers.
optional .operations_research.OptionalBoolean presolve = 5 [default = BOOL_UNSPECIFIED];
Implements com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.
Definition at line 422 of file MPSolverCommonParameters.java.
boolean com.google.ortools.linearsolver.MPSolverCommonParameters.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;
Implements com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.
Definition at line 300 of file MPSolverCommonParameters.java.
boolean com.google.ortools.linearsolver.MPSolverCommonParameters.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;
Implements com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.
Definition at line 231 of file MPSolverCommonParameters.java.
boolean com.google.ortools.linearsolver.MPSolverCommonParameters.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];
Implements com.google.ortools.linearsolver.MPSolverCommonParametersOrBuilder.
Definition at line 451 of file MPSolverCommonParameters.java.
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Definition at line 52 of file MPSolverCommonParameters.java.
final boolean com.google.ortools.linearsolver.MPSolverCommonParameters.isInitialized | ( | ) |
Definition at line 471 of file MPSolverCommonParameters.java.
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Builder com.google.ortools.linearsolver.MPSolverCommonParameters.newBuilderForType | ( | ) |
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Builder com.google.ortools.linearsolver.MPSolverCommonParameters.toBuilder | ( | ) |
Definition at line 697 of file MPSolverCommonParameters.java.
void com.google.ortools.linearsolver.MPSolverCommonParameters.writeTo | ( | com.google.protobuf.CodedOutputStream | output | ) | throws java.io.IOException |
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