Results 271 to 280 of about 36,010,976 (311)

Block-conjugate-gradient method

Physical Review D, 1989
It is shown that by using the block-conjugate-gradient method several, say {ital s}, columns of the inverse Kogut-Susskind fermion matrix can be found simultaneously, in less time than it would take to run the standard conjugate-gradient algorithm {ital s} times. The method improves in efficiency relative to the standard conjugate-gradient algorithm as
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Method of Gradients

1962
Publisher Summary The method of gradients also known as method of steepest descent is an elementary concept for the solution of minimum problems. In recent years the computational appeal of the method has led to its adoption in a variety of application such as —multivariable minimum problems of ordinary calculus, solution of systems of algebraic ...
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Newton’s Method and the Gradient Method

1980
One of the fundamental problems in optimization is that of developing computational procedures for finding extreme points of an objective function. The purpose of this book is to derive a class of iterative methods for obtaining these extreme points.
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On the extension of the Hager–Zhang conjugate gradient method for vector optimization

Computational optimization and applications, 2019
M. Gonçalves, L. F. Prudente
semanticscholar   +1 more source

General inertial proximal gradient method for a class of nonconvex nonsmooth optimization problems

Computational optimization and applications, 2019
Zhongming Wu, Min Li
semanticscholar   +1 more source

A Modified Projected Gradient Method for Monotone Variational Inequalities

Journal of Optimization Theory and Applications, 2018
Jun Yang, Hongwei Liu
semanticscholar   +1 more source

Gradient Method

2023
Luigi Grippo, Marco Sciandrone
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New Hybrid Conjugate Gradient Method As A Convex Combination of Ls and Fr Methods

Acta Mathematica Scientia, 2018
S. Djordjevic
semanticscholar   +1 more source

Limited conjugate gradient method for structural reliability analysis

Engineering computations, 2017
B. Keshtegar
semanticscholar   +1 more source

A gradient descent method for solving a system of nonlinear equations

Applied Mathematics Letters, 2021
Wenrui Hao
exaly