怎样查看下面的文章是否被SCI,EI,ISTP等收录?A Sparse QS-Decomposition for Large Sparse LinearSystem of EquationsWujian Peng and Biswa N.Datta

怎样查看下面的文章是否被SCI,EI,ISTP等收录?A Sparse QS-Decomposition for Large Sparse LinearSystem of EquationsWujian Peng and Biswa N.Datta
怎样查看下面的文章是否被SCI,EI,ISTP等收录?
A Sparse QS-Decomposition for Large Sparse Linear
System of Equations
Wujian Peng and Biswa N.Datta

怎样查看下面的文章是否被SCI,EI,ISTP等收录?A Sparse QS-Decomposition for Large Sparse LinearSystem of EquationsWujian Peng and Biswa N.Datta
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.

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