Nonlinear conjugate gradient method
id:
nonlinear-conjugate-gradient-method-199-7046511
title:
Nonlinear conjugate gradient method
text:
In numerical optimization, the nonlinear conjugate gradient method generalizes the conjugate gradient method to nonlinear optimization. For a quadratic function f the minimum of f is obtained when the gradient is 0: Whereas linear conjugate gradient seeks a solution to the linear equation A T A x = A T b , the nonlinear conjugate gradient method is generally used to find the local minimum of a nonlinear function using its gradient ∇ x f alone. It works when the function is approximately quadrati
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Nonlinear_conjugate_gradient_method
date created:
date modified:
2024-04-05T14:35:14Z
main entity:
{"identifier":"Q17086453","url":"https://www.wikidata.org/entity/Q17086453"}
image:
fields total:
13
integrity:
13