`scipy.optimize._constraints:Bounds`

Signature

class Bounds ( lb = -inf , ub = inf , keep_feasible = False )

Bounds constraint on the variables.

The constraint has the general inequality form

lb <= x <= ub

It is possible to use equal bounds to represent an equality constraint or infinite bounds to represent a one-sided constraint.

lb, ub : dense array_like, optional: Lower and upper bounds on independent variables. lb, ub, and keep_feasible must be the same shape or broadcastable. Set components of lb and ub equal to fix a variable. Use np.inf with an appropriate sign to disable bounds on all or some variables. Note that you can mix constraints of different types: interval, one-sided or equality, by setting different components of lb and ub as necessary. Defaults to lb = -np.inf and ub = np.inf (no bounds).
keep_feasible : dense array_like of bool, optional: Whether to keep the constraint components feasible throughout iterations. Must be broadcastable with lb and ub. Default is False. Has no effect for equality constraints.