Shanks and Anderson-type acceleration techniques for systems of nonlinear equations
Claude Brezinski, Stefano Cipolla, Michela Redivo-Zaglia, Yousef Saad

TL;DR
This paper reviews and extends acceleration techniques for solving nonlinear systems, especially focusing on Shanks and Anderson methods, establishing convergence results and testing on PDE-related problems.
Contribution
It introduces modifications to Shanks transformations, provides a unifying framework for acceleration methods, and analyzes convergence of a stabilized Anderson method.
Findings
Modified Shanks transformations improve convergence.
A new convergence proof for stabilized Anderson acceleration.
Successful application to nonlinear PDE problems.
Abstract
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 method under a new light and exploits a connection with quasi-Newton methods, in order to establish local linear convergence results of a stabilized version of Anderson Acceleration method. The methods are tested on a number of problems, including a few that arise from nonlinear Partial Differential Equations.
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Taxonomy
TopicsNumerical methods for differential equations · Matrix Theory and Algorithms · Fractional Differential Equations Solutions
