Analysis of Monte Carlo accelerated iterative methods for sparse linear systems-Reference-Cited by-同舟云学术

Analysis of Monte Carlo accelerated iterative methods for sparse linear systems

Published:2017-03-05 Issue:3 Volume:24 Page:
ISSN:1070-5325
Container-title:Numerical Linear Algebra with Applications
language:en
Short-container-title:Numer. Linear Algebra Appl.

Author:

Benzi Michele¹,Evans Thomas M.²,Hamilton Steven P.²,Lupo Pasini Massimiliano¹,Slattery Stuart R.²

Affiliation:

1. Department of Mathematics and Computer Science Emory University Atlanta 30322 GA USA

2. Oak Ridge National Laboratory 1 Bethel Valley Rd. Oak Ridge 37831 TN USA

Funder

U.S. Department of Energy

Publisher

Wiley

Subject

Applied Mathematics,Algebra and Number Theory

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nla.2088

Reference28 articles.

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2. A backward/forward recovery approach for the preconditioned conjugate gradient method

3. HoemmenM HerouxM.Fault‐tolerant iterative methods via selective reliability. Proceedings of the International Conference for High Performance Computing Networking Storage and Analysis (SC) vol. 3;2011;Seattle WA.IEEE Computer Society; 2011. p.2011.

4. Fault Resilient Domain Decomposition Preconditioner for PDEs

5. Numerical Analysis of Fixed Point Algorithms in the Presence of Hardware Faults

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