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Model.addGenConstrMin()
addGenConstrMin ( resvar, vars, constant=None, name="" )
Add a new general constraint of type GRB.GENCONSTR_MIN to a model.
A MIN constraint
states that the resultant
variable 
should be equal to the minimum of the operand variables
and the constant 
.
You can also add a MIN constraint using the min_ function.
Arguments:
resvar (Var): The variable whose value will be equal to the min of the other variables.
vars (list of Var): The variables over which the min will be taken. Note that this list may also contain constants (type int, long, or float).
constant (float, optional): An additional operand that allows you to include a constant among the arguments of the min operation.
name (string, optional): Name for the new general constraint.
Note that name will be stored as an ASCII string. Thus, a name
like 'A
B' will produce an error, because
'' can not be represented as an ASCII character. Note
also that names that contain spaces are strongly discouraged,
because they can't be written to LP format files.
Example usage:
# x5 = min(x1, x3, x4, 2.0) model.addGenConstrMin(x5, [x1, x3, x4], 2.0, "minconstr") # alternative form model.addGenConstrMin(x5, [x1, x3, x4, 2.0], name="minconstr") # overloaded forms model.addConstr(x5 == min_([x1, x3, x4, 2.0]), name="minconstr") model.addConstr(x5 == min_(x1, x3, x4, 2.0), name="minconstr")
