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Improved convergence theorems of modulus-based matrix splitting iteration methods for linear complementarity problems

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TLDR
The convergence conditions of modulus-based matrix splitting and matrix two-stage splitting iteration methods for linear complementarity problems are weakened, and their applied scopes are further extended.
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This article is published in Applied Mathematics Letters.The article was published on 2013-06-01 and is currently open access. It has received 76 citations till now. The article focuses on the topics: Matrix splitting & Convergent matrix.

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Matrix iterative analysis (2nd edn), by Richard S. Varga. Springer Series in Computational Mathematics 27. Pp. 358. £55. 2000. ISBN 3 540 66321 5 (Springer Verlag).

TL;DR: Roughly one in six of Walsh's 281 publications are included, photographically reproduced, and reproduction is excellent except for one paper from 1918, which is an obituary.
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A general modulus-based matrix splitting method for linear complementarity problems of H-matrices

TL;DR: The modulus-based matrix splitting iteration method is extended to more general cases, and then convergence analysis when the system matrix A is an H + -matrix is presented.
Journal ArticleDOI

A relaxation modulus-based matrix splitting iteration method for solving linear complementarity problems

TL;DR: A relaxation modulus-based matrix splitting iteration method is established, which covers the known general modulus based matrix splitting iterations methods and is efficient and accelerate the convergence performance with less iteration steps and CPU times.
Journal ArticleDOI

Modulus-based matrix splitting methods for horizontal linear complementarity problems

TL;DR: Modulus-based matrix splitting iteration methods to horizontal linear complementarity problems are extended and both standard and accelerated methods are considered and their convergence is analyzed.
Journal ArticleDOI

A preconditioned modulus-based iteration method for solving linear complementarity problems of H-matrices

TL;DR: In this paper, a preconditioned modulus-based iteration method for linear complementarity problems with the system matrix being an -matrix is presented, and the convergence analysis of the proposed method is given.
References
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Book

Nonnegative Matrices in the Mathematical Sciences

TL;DR: 1. Matrices which leave a cone invariant 2. Nonnegative matrices 3. Semigroups of non negative matrices 4. Symmetric nonnegativeMatrices 5. Generalized inverse- Positivity 6. M-matrices 7. Iterative methods for linear systems 8. Finite Markov Chains
Journal ArticleDOI

Matrix Iterative Analysis

Book

Matrix iterative analysis

TL;DR: In this article, the authors propose Matrix Methods for Parabolic Partial Differential Equations (PPDE) and estimate of Acceleration Parameters, and derive the solution of Elliptic Difference Equations.
Book

The Linear Complementarity Problem

TL;DR: In this article, the authors present an overview of existing and multiplicity of degree theory and propose pivoting methods and iterative methods for degree analysis, including sensitivity and stability analysis.
Journal ArticleDOI

Engineering and Economic Applications of Complementarity Problems

TL;DR: The goal of this documentation is to summarize the essential applications of the nonlinear complementarity problem known to date, to provide a basis for the continued research on the non linear complementarityproblem, and to supply a broad collection of realistic complementarity problems for use in algorithmic experimentation and other studies.
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