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ASparseQS-DecompositionforLargeSparseLinearSystemofEquationsWujianPengandBiswaN.Datta...
A Sparse QS-Decomposition for Large Sparse Linear
System of Equations
Wujian Peng and Biswa N. Datta 展开
System of Equations
Wujian Peng and Biswa N. Datta 展开
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这篇文章发表在会议论文集上，由Springer公司出品，是ISPT和EI收录，不是SCI收录
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恭喜，EI收录了！话说你的悬赏分也太少了吧？
Accession number: 20104813446752
Title: A sparse QS-decomposition for large sparse linear system of equations
Authors: Peng, Wujian1 ; Datta, Biswa N.2
Author affiliation: 1 Department of Math, Zhaoqing University, Zhaoqing, China
2 Department of Math, Northern Illinois University, Dekalb, IL, United States
Corresponding author: Peng, W. (douglas_peng@yahoo.com)
Source title: Lecture Notes in Computational Science and Engineering
Abbreviated source title: Lect. Notes Comput. Sci. Eng.
Volume: 78 LNCSE
Monograph title: Domain Decomposition Methods in Science and Engineering XIX
Issue date: 2010
Publication year: 2010
Pages: 431-438
Language: English
ISSN: 14397358
ISBN-13: 9783642113031
Document type: Conference article (CA)
Conference name: 19th International Conference on Domain Decomposition, DD19
Conference date: August 17, 2009 - August 22, 2009
Conference location: Zhanjiajie, China
Conference code: 82765
Publisher: Springer Verlag, Tiergartenstrasse 17, Heidelberg, D-69121, Germany
Abstract: A direct solver for large scale sparse linear system of equations is presented in this paper. As a direct solver, this method is among the most efficient direct solvers available so far with flop count as in one-dimensional situations and in second dimensional situation. This method has advantages over the existing fast solvers in which it can be used to handle more general situations, both well-conditioned or ill-conditioned systems; more importantly, it is a very stable solver and a naturally parallel procedure! Numerical experiments are presented to demonstrate the efficiency and stability of this algorithm. © 2011 Springer-Verlag Berlin Heidelberg.
Number of references: 7
Main heading: Domain decomposition methods
Controlled terms: Linear systems
Uncontrolled terms: Direct solvers - Fast solvers - General situation - Ill-conditioned systems - Large sparse linear systems - Numerical experiments - QS-decomposition - Sparse linear systems
Classification code: 921 Mathematics - 921.6 Numerical Methods - 961 Systems Science
DOI: 10.1007/978-3-642-11304-8_50
Database: Compendex
Compilation and indexing terms, © 2010 Elsevier Inc.
Accession number: 20104813446752
Title: A sparse QS-decomposition for large sparse linear system of equations
Authors: Peng, Wujian1 ; Datta, Biswa N.2
Author affiliation: 1 Department of Math, Zhaoqing University, Zhaoqing, China
2 Department of Math, Northern Illinois University, Dekalb, IL, United States
Corresponding author: Peng, W. (douglas_peng@yahoo.com)
Source title: Lecture Notes in Computational Science and Engineering
Abbreviated source title: Lect. Notes Comput. Sci. Eng.
Volume: 78 LNCSE
Monograph title: Domain Decomposition Methods in Science and Engineering XIX
Issue date: 2010
Publication year: 2010
Pages: 431-438
Language: English
ISSN: 14397358
ISBN-13: 9783642113031
Document type: Conference article (CA)
Conference name: 19th International Conference on Domain Decomposition, DD19
Conference date: August 17, 2009 - August 22, 2009
Conference location: Zhanjiajie, China
Conference code: 82765
Publisher: Springer Verlag, Tiergartenstrasse 17, Heidelberg, D-69121, Germany
Abstract: A direct solver for large scale sparse linear system of equations is presented in this paper. As a direct solver, this method is among the most efficient direct solvers available so far with flop count as in one-dimensional situations and in second dimensional situation. This method has advantages over the existing fast solvers in which it can be used to handle more general situations, both well-conditioned or ill-conditioned systems; more importantly, it is a very stable solver and a naturally parallel procedure! Numerical experiments are presented to demonstrate the efficiency and stability of this algorithm. © 2011 Springer-Verlag Berlin Heidelberg.
Number of references: 7
Main heading: Domain decomposition methods
Controlled terms: Linear systems
Uncontrolled terms: Direct solvers - Fast solvers - General situation - Ill-conditioned systems - Large sparse linear systems - Numerical experiments - QS-decomposition - Sparse linear systems
Classification code: 921 Mathematics - 921.6 Numerical Methods - 961 Systems Science
DOI: 10.1007/978-3-642-11304-8_50
Database: Compendex
Compilation and indexing terms, © 2010 Elsevier Inc.
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