Effectiveness and robustness revisited for a preconditioning technique based on structured incomplete factorization-Reference-Cited by-同舟云学术

Effectiveness and robustness revisited for a preconditioning technique based on structured incomplete factorization

Published:2020-03-11 Issue:3 Volume:27 Page:
ISSN:1070-5325
Container-title:Numerical Linear Algebra with Applications
language:en
Short-container-title:Numer Linear Algebra Appl

Author:

Xin Zixing¹,Xia Jianlin¹^ORCID,Cauley Stephen²,Balakrishnan Venkataramanan³

Affiliation:

1. Department of Mathematics Purdue University West Lafayette Indiana

2. Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital Harvard University Charlestown Massachusetts

3. Case School of Engineering Case Western Reserve University Cleveland Ohio

Funder

National Science Foundation

Publisher

Wiley

Subject

Applied Mathematics,Algebra and Number Theory

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nla.2294

Reference26 articles.

1. A robust incomplete Choleski-conjugate gradient algorithm

2. Robust Approximate Inverse Preconditioning for the Conjugate Gradient Method

3. A robust incomplete factorization preconditioner for positive definite matrices

4. High quality preconditioning of a general symmetric positive definite matrix based on its UTU + UTR + RTU-decomposition

5. An incomplete factorization technique for positive definite linear systems

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