`scipy.optimize._differentialevolution:_ConstraintWrapper`

source: /scipy/optimize/_differentialevolution.py :1918

Signature

class _ConstraintWrapper ( constraint , x0 )

Members

Summary

Object to wrap/evaluate user defined constraints.

Extended Summary

Very similar in practice to PreparedConstraint, except that no evaluation of jac/hess is performed (explicit or implicit).

If created successfully, it will contain the attributes listed below.

Parameters

constraint : {`NonlinearConstraint`, `LinearConstraint`, `Bounds`}: Constraint to check and prepare.
x0 : array_like: Initial vector of independent variables, shape (N,)

Attributes

fun : callable: Function defining the constraint wrapped by one of the convenience classes.
bounds : 2-tuple: Contains lower and upper bounds for the constraints --- lb and ub. These are converted to ndarray and have a size equal to the number of the constraints.

Notes

_ConstraintWrapper.fun and _ConstraintWrapper.violation can get sent arrays of shape (N, S) or (N,), where S is the number of vectors of shape (N,) to consider constraints for.

Aliases

scipy.optimize._differentialevolution._ConstraintWrapper