package scipy

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package scipy
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type tag = [
  1. | `Bounds
]
type t = [ `Bounds | `Object ] Obj.t
val of_pyobject : Py.Object.t -> t
val to_pyobject : [> tag ] Obj.t -> Py.Object.t
val create : ?keep_feasible:Py.Object.t -> lb:Py.Object.t -> ub:Py.Object.t -> unit -> t

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.

Parameters ---------- lb, ub : array_like, optional Lower and upper bounds on independent variables. Each array must have the same size as x or be a scalar, in which case a bound will be the same for all the variables. 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. keep_feasible : array_like of bool, optional Whether to keep the constraint components feasible throughout iterations. A single value set this property for all components. Default is False. Has no effect for equality constraints.

val to_string : t -> string

Print the object to a human-readable representation.

val show : t -> string

Print the object to a human-readable representation.

val pp : Stdlib.Format.formatter -> t -> unit

Pretty-print the object to a formatter.

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