Try our new documentation site (beta).
Model.addGenConstrPoly()
addGenConstrPoly ( xvar, yvar, p, name="", options="" )
Add a new general constraint of type GRB.GENCONSTR_POLY to a model.
A polynomial function constraint states that the relationship
should hold between variables 
and 
.
A piecewise-linear approximation of the function is added to the model. The details of the approximation are controlled using the following four attributes (or using the parameters with the same names): FuncPieces, FuncPieceError, FuncPieceLength, and FuncPieceRatio. Alternatively, the function can be treated as a nonlinear constraint by setting the attribute FuncNonlinear. For details, consult the General Constraint discussion.
Arguments:
xvar (Var): The variable.
yvar (Var): The variable.
p: The coefficients for the polynomial function (starting with the coefficient for the highest power).
name (string, optional): Name for the new general constraint.
options (string, optional): A string that can be used to set the attributes that control the piecewise-linear approximation of this function constraint. To assign a value to an attribute, follow the attribute name with an equal sign and the desired value (with no spaces). Assignments for different attributes should be separated by spaces (e.g. "FuncPieces=-1 FuncPieceError=0.001").
Return value:
New general constraint.
Example usage:
# y = 2 x^3 + 1.5 x^2 + 1 gc = model.addGenConstrPoly(x, y, [2, 1.5, 0, 1])
