Parallel Chaotic Multisplitting Iterative Methods for the Large Sparse Linear Complementarity Problem

Parallel Chaotic Multisplitting Iterative Methods for the Large Sparse Linear Complementarity Problem

Year:    2001

Author:    Zhong-Zhi Bai

Journal of Computational Mathematics, Vol. 19 (2001), Iss. 3 : pp. 281–292

Abstract

A parallel chaotic multisplitting method for solving the large sparse linear complementarity problem is presented, and its convergence properties are discussed in detail when the system matrix is either symmetric or nonsymmetric. Moreover, some applicable relaxed variants of this parallel chaotic multisplitting method together with their convergence properties are investigated. Numerical results show that high parallel efficiency can be achieved by these new parallel chaotic multisplitting methods.  

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/2001-JCM-8980

Journal of Computational Mathematics, Vol. 19 (2001), Iss. 3 : pp. 281–292

Published online:    2001-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    12

Keywords:    Linear complementarity problem Matrix multisplitting Chaotic iteration Relaxed method Convergence property.

Author Details

Zhong-Zhi Bai