Shanks and Anderson-type acceleration techniques for systems of nonlinear equations

07/11/2020
by   Claude Brezinski, et al.
0

This paper examines a number of extrapolation and acceleration methods, and introduces a few modifications of the standard Shanks transformation that deal with general sequences. One of the goals of the paper is to lay out a general framework that encompasses most of the known acceleration strategies. The paper also considers the Anderson acceleration algorithm under a new light and exploits a connection with Quasi-Newton methods, in order to establish local linear convergence results of Anderson-type techniques. The methods are tested on a number of problems, including a few that arise from nonlinear Partial Differential Equations.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
12/24/2020

Secant acceleration of sequential residual methods for solving large-scale nonlinear systems of equations

Sequential Residual Methods try to solve nonlinear systems of equations ...
research
06/01/2023

NLTGCR: A class of Nonlinear Acceleration Procedures based on Conjugate Residuals

This paper develops a new class of nonlinear acceleration algorithms bas...
research
10/22/2022

An Efficient Nonlinear Acceleration method that Exploits Symmetry of the Hessian

Nonlinear acceleration methods are powerful techniques to speed up fixed...
research
06/01/2018

Nonlinear Acceleration of CNNs

The Regularized Nonlinear Acceleration (RNA) algorithm is an acceleratio...
research
09/12/2022

Analysis and numerical validation of robust parallel nonlinear solvers for implicit time discretizations of the Bidomain equations

In this work, we study the convergence and performance of nonlinear solv...
research
11/23/2022

Filtering for Anderson acceleration

This work introduces, analyzes and demonstrates an efficient and theoret...
research
09/10/2019

Anderson acceleration for contractive and noncontractive operators

A one-step analysis of Anderson acceleration with general algorithmic de...

Please sign up or login with your details

Forgot password? Click here to reset