Google OR-Tools v9.11
a fast and portable software suite for combinatorial optimization
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Classes | |
class | Builder |
Public Member Functions | |
boolean | hasMaxPrimalRayInfeasibility () |
double | getMaxPrimalRayInfeasibility () |
boolean | hasPrimalRayLinearObjective () |
double | getPrimalRayLinearObjective () |
boolean | hasPrimalRayQuadraticNorm () |
double | getPrimalRayQuadraticNorm () |
boolean | hasMaxDualRayInfeasibility () |
double | getMaxDualRayInfeasibility () |
boolean | hasDualRayObjective () |
double | getDualRayObjective () |
boolean | hasCandidateType () |
com.google.ortools.pdlp.PointType | getCandidateType () |
final boolean | isInitialized () |
void | writeTo (com.google.protobuf.CodedOutputStream output) throws java.io.IOException |
int | getSerializedSize () |
boolean | equals (final java.lang.Object obj) |
int | hashCode () |
Builder | newBuilderForType () |
Builder | toBuilder () |
com.google.protobuf.Parser< InfeasibilityInformation > | getParserForType () |
com.google.ortools.pdlp.InfeasibilityInformation | getDefaultInstanceForType () |
Public Member Functions inherited from com.google.ortools.pdlp.InfeasibilityInformationOrBuilder |
Static Public Member Functions | |
static final com.google.protobuf.Descriptors.Descriptor | getDescriptor () |
static com.google.ortools.pdlp.InfeasibilityInformation | parseFrom (java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException |
static com.google.ortools.pdlp.InfeasibilityInformation | parseFrom (java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException |
static com.google.ortools.pdlp.InfeasibilityInformation | parseFrom (com.google.protobuf.ByteString data) throws com.google.protobuf.InvalidProtocolBufferException |
static com.google.ortools.pdlp.InfeasibilityInformation | parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException |
static com.google.ortools.pdlp.InfeasibilityInformation | parseFrom (byte[] data) throws com.google.protobuf.InvalidProtocolBufferException |
static com.google.ortools.pdlp.InfeasibilityInformation | parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException |
static com.google.ortools.pdlp.InfeasibilityInformation | parseFrom (java.io.InputStream input) throws java.io.IOException |
static com.google.ortools.pdlp.InfeasibilityInformation | parseFrom (java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException |
static com.google.ortools.pdlp.InfeasibilityInformation | parseDelimitedFrom (java.io.InputStream input) throws java.io.IOException |
static com.google.ortools.pdlp.InfeasibilityInformation | parseDelimitedFrom (java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException |
static com.google.ortools.pdlp.InfeasibilityInformation | parseFrom (com.google.protobuf.CodedInputStream input) throws java.io.IOException |
static com.google.ortools.pdlp.InfeasibilityInformation | parseFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException |
static Builder | newBuilder () |
static Builder | newBuilder (com.google.ortools.pdlp.InfeasibilityInformation prototype) |
static com.google.ortools.pdlp.InfeasibilityInformation | getDefaultInstance () |
static com.google.protobuf.Parser< InfeasibilityInformation > | parser () |
Static Public Attributes | |
static final int | MAX_PRIMAL_RAY_INFEASIBILITY_FIELD_NUMBER = 1 |
static final int | PRIMAL_RAY_LINEAR_OBJECTIVE_FIELD_NUMBER = 2 |
static final int | PRIMAL_RAY_QUADRATIC_NORM_FIELD_NUMBER = 3 |
static final int | MAX_DUAL_RAY_INFEASIBILITY_FIELD_NUMBER = 4 |
static final int | DUAL_RAY_OBJECTIVE_FIELD_NUMBER = 5 |
static final int | CANDIDATE_TYPE_FIELD_NUMBER = 6 |
Protected Member Functions | |
com.google.protobuf.GeneratedMessage.FieldAccessorTable | internalGetFieldAccessorTable () |
Builder | newBuilderForType (com.google.protobuf.GeneratedMessage.BuilderParent parent) |
Information measuring how close a point is to establishing primal or dual infeasibility (i.e. has no solution); see also TerminationCriteria.
Protobuf type operations_research.pdlp.InfeasibilityInformation
Definition at line 15 of file InfeasibilityInformation.java.
boolean com.google.ortools.pdlp.InfeasibilityInformation.equals | ( | final java.lang.Object | obj | ) |
Definition at line 323 of file InfeasibilityInformation.java.
com.google.ortools.pdlp.PointType com.google.ortools.pdlp.InfeasibilityInformation.getCandidateType | ( | ) |
Type of the point used to compute the InfeasibilityInformation.
optional .operations_research.pdlp.PointType candidate_type = 6;
Implements com.google.ortools.pdlp.InfeasibilityInformationOrBuilder.
Definition at line 247 of file InfeasibilityInformation.java.
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Definition at line 1146 of file InfeasibilityInformation.java.
com.google.ortools.pdlp.InfeasibilityInformation com.google.ortools.pdlp.InfeasibilityInformation.getDefaultInstanceForType | ( | ) |
Definition at line 1182 of file InfeasibilityInformation.java.
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Definition at line 38 of file InfeasibilityInformation.java.
double com.google.ortools.pdlp.InfeasibilityInformation.getDualRayObjective | ( | ) |
The objective of the linear program labeled (1) in the previous paragraph.
optional double dual_ray_objective = 5;
Implements com.google.ortools.pdlp.InfeasibilityInformationOrBuilder.
Definition at line 222 of file InfeasibilityInformation.java.
double com.google.ortools.pdlp.InfeasibilityInformation.getMaxDualRayInfeasibility | ( | ) |
Let (y_ray, r_ray) be the algorithm's estimate of the dual and reduced cost extreme ray where (y_ray, r_ray) is a vector (satisfying the dual variable constraints) scaled such that its infinity norm is one. A simple and typical choice of y_ray is (y_ray, r_ray) = (y, r) / max(| y |_∞, | r |_∞) where y is the current dual iterate and r is the current dual reduced costs. Consider the quadratic program we are solving but with the objective (both quadratic and linear terms) set to zero. This forms a linear program (label this linear program (1)) with no objective. Take the dual of (1) and compute the maximum absolute value of the constraint error for (y_ray, r_ray) to obtain the value of max_dual_ray_infeasibility.
optional double max_dual_ray_infeasibility = 4;
Implements com.google.ortools.pdlp.InfeasibilityInformationOrBuilder.
Definition at line 195 of file InfeasibilityInformation.java.
double com.google.ortools.pdlp.InfeasibilityInformation.getMaxPrimalRayInfeasibility | ( | ) |
Let x_ray be the algorithm's estimate of the primal extreme ray where x_ray is a vector that satisfies the sign constraints for a ray, scaled such that its infinity norm is one (the sign constraints are the variable bound constraints, with all finite bounds mapped to zero). A simple and typical choice of x_ray is x_ray = x / | x |_∞ where x is the current primal iterate projected onto the primal ray sign constraints. For this value compute the maximum absolute error in the primal linear program with the right hand side set to zero.
optional double max_primal_ray_infeasibility = 1;
Implements com.google.ortools.pdlp.InfeasibilityInformationOrBuilder.
Definition at line 88 of file InfeasibilityInformation.java.
com.google.protobuf.Parser< InfeasibilityInformation > com.google.ortools.pdlp.InfeasibilityInformation.getParserForType | ( | ) |
Definition at line 1177 of file InfeasibilityInformation.java.
double com.google.ortools.pdlp.InfeasibilityInformation.getPrimalRayLinearObjective | ( | ) |
The value of the linear part of the primal objective (ignoring additive constants) evaluated at x_ray, i.e., c' * x_ray where c is the objective coefficient vector.
optional double primal_ray_linear_objective = 2;
Implements com.google.ortools.pdlp.InfeasibilityInformationOrBuilder.
Definition at line 119 of file InfeasibilityInformation.java.
double com.google.ortools.pdlp.InfeasibilityInformation.getPrimalRayQuadraticNorm | ( | ) |
The l_∞ norm of the vector resulting from taking the quadratic matrix from primal objective and multiplying it by the primal variables. For linear programming problems this is zero.
optional double primal_ray_quadratic_norm = 3;
Implements com.google.ortools.pdlp.InfeasibilityInformationOrBuilder.
Definition at line 150 of file InfeasibilityInformation.java.
int com.google.ortools.pdlp.InfeasibilityInformation.getSerializedSize | ( | ) |
Definition at line 288 of file InfeasibilityInformation.java.
boolean com.google.ortools.pdlp.InfeasibilityInformation.hasCandidateType | ( | ) |
Type of the point used to compute the InfeasibilityInformation.
optional .operations_research.pdlp.PointType candidate_type = 6;
Implements com.google.ortools.pdlp.InfeasibilityInformationOrBuilder.
Definition at line 236 of file InfeasibilityInformation.java.
boolean com.google.ortools.pdlp.InfeasibilityInformation.hasDualRayObjective | ( | ) |
The objective of the linear program labeled (1) in the previous paragraph.
optional double dual_ray_objective = 5;
Implements com.google.ortools.pdlp.InfeasibilityInformationOrBuilder.
Definition at line 210 of file InfeasibilityInformation.java.
int com.google.ortools.pdlp.InfeasibilityInformation.hashCode | ( | ) |
Definition at line 371 of file InfeasibilityInformation.java.
boolean com.google.ortools.pdlp.InfeasibilityInformation.hasMaxDualRayInfeasibility | ( | ) |
Let (y_ray, r_ray) be the algorithm's estimate of the dual and reduced cost extreme ray where (y_ray, r_ray) is a vector (satisfying the dual variable constraints) scaled such that its infinity norm is one. A simple and typical choice of y_ray is (y_ray, r_ray) = (y, r) / max(| y |_∞, | r |_∞) where y is the current dual iterate and r is the current dual reduced costs. Consider the quadratic program we are solving but with the objective (both quadratic and linear terms) set to zero. This forms a linear program (label this linear program (1)) with no objective. Take the dual of (1) and compute the maximum absolute value of the constraint error for (y_ray, r_ray) to obtain the value of max_dual_ray_infeasibility.
optional double max_dual_ray_infeasibility = 4;
Implements com.google.ortools.pdlp.InfeasibilityInformationOrBuilder.
Definition at line 174 of file InfeasibilityInformation.java.
boolean com.google.ortools.pdlp.InfeasibilityInformation.hasMaxPrimalRayInfeasibility | ( | ) |
Let x_ray be the algorithm's estimate of the primal extreme ray where x_ray is a vector that satisfies the sign constraints for a ray, scaled such that its infinity norm is one (the sign constraints are the variable bound constraints, with all finite bounds mapped to zero). A simple and typical choice of x_ray is x_ray = x / | x |_∞ where x is the current primal iterate projected onto the primal ray sign constraints. For this value compute the maximum absolute error in the primal linear program with the right hand side set to zero.
optional double max_primal_ray_infeasibility = 1;
Implements com.google.ortools.pdlp.InfeasibilityInformationOrBuilder.
Definition at line 69 of file InfeasibilityInformation.java.
boolean com.google.ortools.pdlp.InfeasibilityInformation.hasPrimalRayLinearObjective | ( | ) |
The value of the linear part of the primal objective (ignoring additive constants) evaluated at x_ray, i.e., c' * x_ray where c is the objective coefficient vector.
optional double primal_ray_linear_objective = 2;
Implements com.google.ortools.pdlp.InfeasibilityInformationOrBuilder.
Definition at line 105 of file InfeasibilityInformation.java.
boolean com.google.ortools.pdlp.InfeasibilityInformation.hasPrimalRayQuadraticNorm | ( | ) |
The l_∞ norm of the vector resulting from taking the quadratic matrix from primal objective and multiplying it by the primal variables. For linear programming problems this is zero.
optional double primal_ray_quadratic_norm = 3;
Implements com.google.ortools.pdlp.InfeasibilityInformationOrBuilder.
Definition at line 136 of file InfeasibilityInformation.java.
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Definition at line 44 of file InfeasibilityInformation.java.
final boolean com.google.ortools.pdlp.InfeasibilityInformation.isInitialized | ( | ) |
Definition at line 254 of file InfeasibilityInformation.java.
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Definition at line 485 of file InfeasibilityInformation.java.
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Definition at line 488 of file InfeasibilityInformation.java.
Builder com.google.ortools.pdlp.InfeasibilityInformation.newBuilderForType | ( | ) |
Definition at line 484 of file InfeasibilityInformation.java.
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Definition at line 498 of file InfeasibilityInformation.java.
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Definition at line 411 of file InfeasibilityInformation.java.
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Definition at line 416 of file InfeasibilityInformation.java.
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Definition at line 1172 of file InfeasibilityInformation.java.
Builder com.google.ortools.pdlp.InfeasibilityInformation.toBuilder | ( | ) |
Definition at line 492 of file InfeasibilityInformation.java.
void com.google.ortools.pdlp.InfeasibilityInformation.writeTo | ( | com.google.protobuf.CodedOutputStream | output | ) | throws java.io.IOException |
Definition at line 264 of file InfeasibilityInformation.java.
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Definition at line 226 of file InfeasibilityInformation.java.
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Definition at line 199 of file InfeasibilityInformation.java.
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Definition at line 123 of file InfeasibilityInformation.java.