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Volume 20, Issue 1
Relaxed Asynchronous Iterations for the Linear Complementarity Problem

Zhong-Zhi Bai & Yu-Guang Huang

J. Comp. Math., 20 (2002), pp. 97-112.

Published online: 2002-02

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  • Abstract

We present a class of relaxed asynchronous parallel multisplitting iterative methods for solving the linear complementarity problem on multiprocessor systems, and set up their convergence theories when the system matrix of the linear complementarity problem is an H-matrix with positive diagonal elements.

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@Article{JCM-20-97, author = {Bai , Zhong-Zhi and Huang , Yu-Guang}, title = {Relaxed Asynchronous Iterations for the Linear Complementarity Problem}, journal = {Journal of Computational Mathematics}, year = {2002}, volume = {20}, number = {1}, pages = {97--112}, abstract = {

We present a class of relaxed asynchronous parallel multisplitting iterative methods for solving the linear complementarity problem on multiprocessor systems, and set up their convergence theories when the system matrix of the linear complementarity problem is an H-matrix with positive diagonal elements.

}, issn = {1991-7139}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jcm/8902.html} }
TY - JOUR T1 - Relaxed Asynchronous Iterations for the Linear Complementarity Problem AU - Bai , Zhong-Zhi AU - Huang , Yu-Guang JO - Journal of Computational Mathematics VL - 1 SP - 97 EP - 112 PY - 2002 DA - 2002/02 SN - 20 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jcm/8902.html KW - Linear complementarity problem, Matrix multisplitting, Relaxation method, Asynchronous iteration, Convergence theory. AB -

We present a class of relaxed asynchronous parallel multisplitting iterative methods for solving the linear complementarity problem on multiprocessor systems, and set up their convergence theories when the system matrix of the linear complementarity problem is an H-matrix with positive diagonal elements.

Bai , Zhong-Zhi and Huang , Yu-Guang. (2002). Relaxed Asynchronous Iterations for the Linear Complementarity Problem. Journal of Computational Mathematics. 20 (1). 97-112. doi:
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