bundles / scipy 2.0.0.dev0+git20260907.41eeb59 / scipy / optimize / _nonlin / ExcitingMixing

class

`scipy.optimize._nonlin:ExcitingMixing`

source: build-install/usr/lib/python3.14/site-packages/scipy/optimize/_nonlin.py:1312

Signature

class ExcitingMixing(alpha = None, alphamax = 1.0)

Members

Summary

Find a root of a function, using a tuned diagonal Jacobian approximation.

Extended Summary

The Jacobian matrix is diagonal and is tuned on each iteration.

Parameters

%(params_basic)s
alpha : float, optional: Initial Jacobian approximation is (-1/alpha).
alphamax : float, optional: The entries of the diagonal Jacobian are kept in the range [alpha, alphamax].
%(params_extra)s

See also

root: Interface to root finding algorithms for multivariate functions. See method='excitingmixing' in particular.

Aliases

scipy.optimize._nonlin.ExcitingMixing