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IMPLICIT GAUSS-JORDAN SCHEME FOR THE SOLUTION OF LINEAR SYSTEMS

 

作者: M. BARULLI,   D. J. EVANS,  

 

期刊: Parallel Algorithms and Applications  （Taylor Available online 1996）
卷期: Volume 10, issue 1-2  

页码: 145-159

 

ISSN:1063-7192

 

年代: 1996

 

DOI:10.1080/10637199608915613

 

出版商: Taylor & Francis Group

 

关键词: Gauss-Jordan elimination;implicit elimination;shared memory architectures;partial pivoting;implicit partial pivoting;linear systems

 

数据来源: Taylor

 

摘要:

In this paper we discuss the results of the parallel implementation of a new scheme for the solution of large and dense linear systems: an implicit version of the well known Gauss-Jordan method. We present a complete computational analysis of the method and we explain the superiority of implicit schemes on the basis of the number of accesses to the problem data.

 

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