An adaptive CGNR algorithm for solving large linear systems
type: Item
instance of: scholarly article
title: An adaptive CGNR algorithm for solving large linear systems
zbMATH Open document ID: 1028.65022
DOI: 10.1023/A:1012979827681
published in: Annals of Operations Research
publication date: 2002-03-26T00:00:00Z
review text: The author analyses the Conjugate Gradient Normal Residual algorithm (CGNR) and proves that it is both residual minimizing and error reducing. Then, by using a polynomial preconditioning he constructs an adaptive version of the CGNR algorithm. Numerical tests and comparisons with GMRES and classical CGNR algorithms are also reported.
reviewed by: Constantin Popa
Mathematics Subject Classification ID: 65F10
zbMATH DE Number: 1723325
zbMATH Keywords: linear systems
zbMATH Keywords: CGNR algorithm
zbMATH Keywords: adaptive algorithm
zbMATH Keywords: robustness
MaRDI profile type: Publication
author: Chunguang Li
description: scientific article; zbMATH DE number 1723325