com.google.ortools.linearsolver.MPSosConstraintOrBuilder Interface Reference

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

Public Member Functions
boolean	hasType ()
com.google.ortools.linearsolver.MPSosConstraint.Type	getType ()
java.util.List< java.lang.Integer >	getVarIndexList ()
int	getVarIndexCount ()
int	getVarIndex (int index)
java.util.List< java.lang.Double >	getWeightList ()
int	getWeightCount ()
double	getWeight (int index)

Detailed Description

Definition at line 7 of file MPSosConstraintOrBuilder.java.

Member Function Documentation

getType()

com.google.ortools.linearsolver.MPSosConstraint.Type com.google.ortools.linearsolver.MPSosConstraintOrBuilder.getType

(

)

optional .operations_research.MPSosConstraint.Type type = 1 [default = SOS1_DEFAULT];

Returns

The type.

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

getVarIndex()

int com.google.ortools.linearsolver.MPSosConstraintOrBuilder.getVarIndex

(

int

index

)

Variable index (w.r.t. the "variable" field of MPModelProto) of the
variables in the SOS.

repeated int32 var_index = 2;

Parameters

index

The index of the element to return.

Returns

The varIndex at the given index.

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

getVarIndexCount()

int com.google.ortools.linearsolver.MPSosConstraintOrBuilder.getVarIndexCount

(

)

Variable index (w.r.t. the "variable" field of MPModelProto) of the
variables in the SOS.

repeated int32 var_index = 2;

Returns

The count of varIndex.

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

getVarIndexList()

java.util.List< java.lang.Integer > com.google.ortools.linearsolver.MPSosConstraintOrBuilder.getVarIndexList

(

)

Variable index (w.r.t. the "variable" field of MPModelProto) of the
variables in the SOS.

repeated int32 var_index = 2;

Returns

A list containing the varIndex.

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

getWeight()

double com.google.ortools.linearsolver.MPSosConstraintOrBuilder.getWeight

(

int

index

)

Optional: SOS weights. If non-empty, must be of the same size as
"var_index", and strictly increasing. If empty and required by the
underlying solver, the 1..n sequence will be given as weights.
SUBTLE: The weights can help the solver make branch-and-bound decisions
that fit the underlying optimization model: after each LP relaxation, it
will compute the "average weight" of the SOS variables, weighted by value
(this is confusing: here we're using the values as weights), and the binary
branch decision will be: is the non-zero variable above or below that?
(weights are strictly monotonous, so the "cutoff" average weight
corresponds to a "cutoff" index in the var_index sequence).

repeated double weight = 3;

Parameters

index

The index of the element to return.

Returns

The weight at the given index.

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

getWeightCount()

int com.google.ortools.linearsolver.MPSosConstraintOrBuilder.getWeightCount

(

)

Optional: SOS weights. If non-empty, must be of the same size as
"var_index", and strictly increasing. If empty and required by the
underlying solver, the 1..n sequence will be given as weights.
SUBTLE: The weights can help the solver make branch-and-bound decisions
that fit the underlying optimization model: after each LP relaxation, it
will compute the "average weight" of the SOS variables, weighted by value
(this is confusing: here we're using the values as weights), and the binary
branch decision will be: is the non-zero variable above or below that?
(weights are strictly monotonous, so the "cutoff" average weight
corresponds to a "cutoff" index in the var_index sequence).

repeated double weight = 3;

Returns

The count of weight.

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

getWeightList()

java.util.List< java.lang.Double > com.google.ortools.linearsolver.MPSosConstraintOrBuilder.getWeightList

(

)

Optional: SOS weights. If non-empty, must be of the same size as
"var_index", and strictly increasing. If empty and required by the
underlying solver, the 1..n sequence will be given as weights.
SUBTLE: The weights can help the solver make branch-and-bound decisions
that fit the underlying optimization model: after each LP relaxation, it
will compute the "average weight" of the SOS variables, weighted by value
(this is confusing: here we're using the values as weights), and the binary
branch decision will be: is the non-zero variable above or below that?
(weights are strictly monotonous, so the "cutoff" average weight
corresponds to a "cutoff" index in the var_index sequence).

repeated double weight = 3;

Returns

A list containing the weight.

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

hasType()

boolean com.google.ortools.linearsolver.MPSosConstraintOrBuilder.hasType

(

)

optional .operations_research.MPSosConstraint.Type type = 1 [default = SOS1_DEFAULT];

Returns

Whether the type field is set.

Implemented in com.google.ortools.linearsolver.MPSosConstraint, and com.google.ortools.linearsolver.MPSosConstraint.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/MPSosConstraintOrBuilder.java