arrow
Return

Shanks Sequence Transformations and Anderson Acceleration

delete2018-01-01
delete57
delete
OA
AI
C
Claude Brezinski *
M
Michela Redivo‐Zaglia
Y
Yousef Saad
DOI:10.1137/17M1120725delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
This paper presents a general framework for Shanks transformations of sequences of elements in a vector space. It is shown that NIinimal Polynomial Extrapolation (MPE), Modified Minimal Polynomial Extrapolation (MMPE), Reduced Rank Extrapolation (RRE), the Vector Epsilon Algorithm (VEA), the Topological Epsilon Algorithm (TEA), and Anderson Acceleration (AA), which are standard general techniques designed to accelerate arbitrary sequences and/or solve nonlinear equations, all fall into this framework. Their properties and their connections with quasi-Newton and Broyden methods are studied. The paper then exploits this framework to compare these methods. In the linear case, it is known that AA and GMRES are essentially equivalent in a certain sense, while GMRES and RRE are mathematically equivalent. This paper discusses the connection between AA, the RRE, the MPE, and other methods in the nonlinear case.
Keywords:
acceleration techniques
sequence transformations
Anderson acceleration
reduced rank extrapolation
quasi-Newton methods
Broyden methods
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

SIAM Review cover
SIAM Review
IF:
6.1
Papers:
888
Citations:
1.2W

Organization

C
centre national de la recherche scientifique (cnrs)
Scholars:
24.5W
Papers: 18.2W
Citations: 279
U
universite de lille
Scholars:
2.7W
Papers: 2.0W
Citations: 15
researcher View more organizations