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    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.