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GRBModel.addVars()
Add new decision variables to a model.
| GRBVar[] | addVars ( | int | count, |
| char | type ) |
-
Add
count new decision variables to a model. All
associated attributes take their default values, except the
variable type, which is specified as an argument.
Arguments:
count: Number of variables to add.
type: Variable type for new variables (GRB.CONTINUOUS, GRB.BINARY, GRB.INTEGER, GRB.SEMICONT, or GRB.SEMIINT).
Return value:
Array of new variable objects.
| GRBVar[] | addVars ( | double[] | lb, |
| double[] | ub, | ||
| double[] | obj, | ||
| char[] | type, | ||
| String[] | names ) |
-
Add new decision variables to a model. The number of
added variables is determined by the length of the input arrays
(which must be consistent across all arguments).
Arguments:
lb: Lower bounds for new variables. Can be null, in which case the variables get lower bounds of 0.0.
ub: Upper bounds for new variables. Can be null, in which case the variables get infinite upper bounds.
obj: Objective coefficients for new variables. Can be null, in which case the variables get objective coefficients of 0.0.
type: Variable types for new variables (GRB.CONTINUOUS, GRB.BINARY, GRB.INTEGER, GRB.SEMICONT, or GRB.SEMIINT). Can be null, in which case the variables are assumed to be continuous.
names: Names for new variables. Can be null, in which case all variables are given default names.
Return value:
Array of new variable objects.
| GRBVar[] | addVars ( | double[] | lb, |
| double[] | ub, | ||
| double[] | obj, | ||
| char[] | type, | ||
| String[] | names, | ||
| int | start, | ||
| int | len ) |
-
Add new decision variables to a model. This signature
allows you to use arrays to hold the various variable attributes
(lower bound, upper bound, etc.), without forcing you to add a
variable for each entry in the array. The
start and
len arguments allow you to specify which variables to add.
Arguments:
lb: Lower bounds for new variables. Can be null, in which case the variables get lower bounds of 0.0.
ub: Upper bounds for new variables. Can be null, in which case the variables get infinite upper bounds.
obj: Objective coefficients for new variables. Can be null, in which case the variables get objective coefficients of 0.0.
type: Variable types for new variables (GRB.CONTINUOUS, GRB.BINARY, GRB.INTEGER, GRB.SEMICONT, or GRB.SEMIINT). Can be null, in which case the variables are assumed to be continuous.
names: Names for new variables. Can be null, in which case all variables are given default names.
start: The first variable in the list to add.
len: The number of variables to add.
Return value:
Array of new variable objects.
| GRBVar[] | addVars ( | double[] | lb, |
| double[] | ub, | ||
| double[] | obj, | ||
| char[] | type, | ||
| String[] | names, | ||
| GRBColumn[] | cols ) |
-
Add new decision variables to a model. This signature
allows you to specify the list of constraints to which each new
variable belongs using an array of
GRBColumn objects.
Arguments:
lb: Lower bounds for new variables. Can be null, in which case the variables get lower bounds of 0.0.
ub: Upper bounds for new variables. Can be null, in which case the variables get infinite upper bounds.
obj: Objective coefficients for new variables. Can be null, in which case the variables get objective coefficients of 0.0.
type: Variable types for new variables (GRB.CONTINUOUS, GRB.BINARY, GRB.INTEGER, GRB.SEMICONT, or GRB.SEMIINT). Can be null, in which case the variables are assumed to be continuous.
names: Names for new variables. Can be null, in which case all variables are given default names.
cols: GRBColumn objects for specifying a set of constraints to which each new column belongs.
Return value:
Array of new variable objects.
