Modulus-based synchronous multisplitting iteration methods for large sparse vertical linear complementarity problems-Reference-Cited by-同舟云学术

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Modulus-based synchronous multisplitting iteration methods for large sparse vertical linear complementarity problems

Published:2022-11-07 Issue: Volume: Page:
ISSN:1017-1398
Container-title:Numerical Algorithms
language:en
Short-container-title:Numer Algor

Author:

Zheng Hua,Zhang Yongxiong,Lu Xiaoping,Vong Seakweng^ORCID

Funder

Major Projects of Guangdong Education Department for Foundation Research and Applied Research

Science and Technology Development Fund, Macau SAR

University of Macau

Scientific Computing Research Innovation Team of Guangdong Province

Technology Planning Project of Shaoguan

Science Foundation of Shaoguan University

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics

Link

https://link.springer.com/content/pdf/10.1007/s11075-022-01436-2.pdf

Reference38 articles.

1. Bai, Z.-Z.: The monotone convergence of a class of parallel nonlinear relaxation methods for nonlinear complementarity problems. Comput. Math. Appl. 31:12, 17–33 (1996)

2. Bai, Z.-Z.: New comparison theorem for the nonlinear multisplitting relaxation method for the nonlinear complementarity problems. Comput. Math. Appl. 32, 41–48 (1996)

3. Bai, Z.-Z.: On the monotone convergence of matrix multisplitting relaxation methods for the linear complementarity problem. IMA J. Numer. Anal. 18:4, 509–518 (1998)

4. Bai, Z.-Z.: On the convergence of the multisplitting methods for the linear complementarity problem. SIAM J. Matrix Anal. Appl. 21, 67–78 (1999)

5. Bai, Z.-Z.: Modulus-based matrix splitting iteration methods for linear complementarity problems. Numer. Linear Algebra Appl. 17, 917–933 (2010)

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1. On the two-stage multisplitting iteration methods for linear complementarity problems;Applied Mathematics and Computation;2024-08

2. General convergence results of the modulus-based methods for vertical nonlinear complementarity problems;Computational and Applied Mathematics;2024-04-08

3. A relaxation two-step parallel modulus method without auxiliary variable for solving large sparse vertical linear complementarity problems;Numerical Algorithms;2024-03-28

4. A new matrix splitting generalized iteration method for linear complementarity problems;Applied Mathematics and Computation;2024-03

5. A two-step iteration method for solving vertical nonlinear complementarity problems;AIMS Mathematics;2024

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