Convergence analysis of Anderson-type acceleration of Richardson's iteration
Abstract
We consider here Anderson extrapolation to accelerate the (stationary) Richardson iterative method for sparse linear systems. Using an Anderson mixing at periodic intervals, we assess how this benefits convergence to a prescribed accuracy. The method, named alternating Anderson–Richardson, has appealing properties for high-performance computing, such as the potential to reduce communication and storage in comparison to more conventional linear solvers. We establish sufficient conditions for convergence, and we evaluate the performance of this technique in combination with various preconditioners through numerical examples. Furthermore, we propose an augmented version of this technique.
- Authors:
-
- Emory Univ., Atlanta, GA (United States). Dept. of Mathematics and Computer Science; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). National Center for Computational Sciences
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1511931
- Alternate Identifier(s):
- OSTI ID: 1504993
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Numerical Linear Algebra with Applications
- Additional Journal Information:
- Journal Volume: 26; Journal Issue: 4; Journal ID: ISSN 1070-5325
- Publisher:
- Wiley
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; Anderson acceleration; fixed-point scheme; projection method; Richardson iteration
Citation Formats
Lupo Pasini, Massimiliano. Convergence analysis of Anderson-type acceleration of Richardson's iteration. United States: N. p., 2019.
Web. doi:10.1002/nla.2241.
Lupo Pasini, Massimiliano. Convergence analysis of Anderson-type acceleration of Richardson's iteration. United States. https://doi.org/10.1002/nla.2241
Lupo Pasini, Massimiliano. Wed .
"Convergence analysis of Anderson-type acceleration of Richardson's iteration". United States. https://doi.org/10.1002/nla.2241. https://www.osti.gov/servlets/purl/1511931.
@article{osti_1511931,
title = {Convergence analysis of Anderson-type acceleration of Richardson's iteration},
author = {Lupo Pasini, Massimiliano},
abstractNote = {We consider here Anderson extrapolation to accelerate the (stationary) Richardson iterative method for sparse linear systems. Using an Anderson mixing at periodic intervals, we assess how this benefits convergence to a prescribed accuracy. The method, named alternating Anderson–Richardson, has appealing properties for high-performance computing, such as the potential to reduce communication and storage in comparison to more conventional linear solvers. We establish sufficient conditions for convergence, and we evaluate the performance of this technique in combination with various preconditioners through numerical examples. Furthermore, we propose an augmented version of this technique.},
doi = {10.1002/nla.2241},
journal = {Numerical Linear Algebra with Applications},
number = 4,
volume = 26,
place = {United States},
year = {Wed Apr 03 00:00:00 EDT 2019},
month = {Wed Apr 03 00:00:00 EDT 2019}
}
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