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2013 | OriginalPaper | Chapter

Relaxed Two-Stage Multisplitting Algorithm for Linear Complementarity Problem

Authors : Ban-xiang Duan, Dong-hai Zeng

Published in: Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013

Publisher: Springer Berlin Heidelberg

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Abstract

In this paper, the authors first set up relaxed two-stage algorithm for solving the linear complementarity problem, which is based on the two-stage splitting algorithm, parallel computation and the multisplitting algorithm. This new algorithm provides a specific realization for the multisplitting algorithm and generalizes many existing matrix splitting algorithms for linear complementarity problems and linear systems. And then, they establish the global convergence theory of the algorithm when the system matrix of the linear complementarity problem is an H-matrix, M-matrix, strictly or irreducibly diagonally dominant.

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Literature
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Metadata
Title
Relaxed Two-Stage Multisplitting Algorithm for Linear Complementarity Problem
Authors
Ban-xiang Duan
Dong-hai Zeng
Copyright Year
2013
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-37502-6_66

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