Classe « LinearConstraint »

Informations générales

Héritage

builtins.object
    LinearConstraint

Définition

class LinearConstraint(builtins.object):

help(LinearConstraint)

Linear constraint on the variables.

The constraint has the general inequality form::

    lb <= A.dot(x) <= ub

Here the vector of independent variables x is passed as ndarray of shape
(n,) and the matrix A has shape (m, n).

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

Parameters
----------
A : {array_like, sparse matrix}, shape (m, n)
    Matrix defining the constraint.
lb, ub : dense array_like, optional
    Lower and upper limits on the constraint. Each array must have the
    shape (m,) or be a scalar, in the latter case a bound will be the same
    for all components of the constraint. Use ``np.inf`` with an
    appropriate sign to specify a one-sided constraint.
    Set components of `lb` and `ub` equal to represent an equality
    constraint. 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 limits).
keep_feasible : dense 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.