GRBModel.addVars()

GRBModel.addVars()

Add new decision variables to a model.

GRBVar[]	addVars(	int	count,
		char	type )

Addcountnew decision variables to a model. All associated attributes take their default values, except the variabletype, 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, orGRB.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 benull, in which case the variables get lower bounds of 0.0.

ub: Upper bounds for new variables. Can benull, in which case the variables get infinite upper bounds.

obj: Objective coefficients for new variables. Can benull, 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, orGRB.SEMIINT). Can benull, in which case the variables are assumed to be continuous.

names: Names for new variables. Can benull, 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. Thestartandlenarguments allow you to specify which variables to add.

Arguments:

lb: Lower bounds for new variables. Can benull, in which case the variables get lower bounds of 0.0.

ub: Upper bounds for new variables. Can benull, in which case the variables get infinite upper bounds.

obj: Objective coefficients for new variables. Can benull, 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, orGRB.SEMIINT). Can benull, in which case the variables are assumed to be continuous.

names: Names for new variables. Can benull, 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[]	峡路)

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 ofGRBColumnobjects.

Arguments:

lb: Lower bounds for new variables. Can benull, in which case the variables get lower bounds of 0.0.

ub: Upper bounds for new variables. Can benull, in which case the variables get infinite upper bounds.

obj: Objective coefficients for new variables. Can benull, 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, orGRB.SEMIINT). Can benull, in which case the variables are assumed to be continuous.

names: Names for new variables. Can benull, 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.