Add a quadratic constraint to a model.
Important note: the algorithms that Gurobi uses to solve quadratically constrained problems can only handle certain types of quadratic constraints. Constraints of the following forms are always accepted:
Note that this method also accepts a TempConstr as its first argument (with the name as its second argument). This allows you to use operator overloading to create constraints. See TempConstr for more information.
Arguments:
lhs: Left-hand side for new quadratic constraint. Can be a constant, a Var, a LinExpr, or a QuadExpr.
sense: Sense for new quadratic constraint (GRB.LESS_EQUAL or GRB.GREATER_EQUAL).
rhs: Right-hand side for new quadratic constraint. Can be a constant, a Var, a LinExpr, or a QuadExpr.
name: Name for new constraint.
Return value:
New quadratic constraint object.
Example usage:
model.addQConstr(x*x + y*y, GRB.LESS_EQUAL, z*z, "c0") model.addQConstr(x*x + y*y <= 2.0, "c1")