A self-adaptive projection and contraction method for monotone symmetric linear variational inequalities

Li Zhi Liao; Shengli Wang

doi:10.1016/S0898-1221(01)00269-3

A self-adaptive projection and contraction method for monotone symmetric linear variational inequalities

Li Zhi Liao^*, Shengli Wang

^*Corresponding author for this work

Department of Mathematics

Research output: Contribution to journal › Journal article › peer-review

6 Citations (Scopus)

Abstract

In this paper, we present a self-adaptive projection and contraction (SAPC) method for solving symmetric linear variational inequalities. Preliminary numerical tests show that the proposed method is efficient and effective and depends only slightly on its initial parameter. The global convergence of the new method is also addressed.

Original language	English
Pages (from-to)	41-48
Number of pages	8
Journal	Computers and Mathematics with Applications
Volume	43
Issue number	1-2
DOIs	https://doi.org/10.1016/S0898-1221(01)00269-3
Publication status	Published - Jan 2002

Scopus Subject Areas

Modelling and Simulation
Computational Theory and Mathematics
Computational Mathematics

User-Defined Keywords

Projection and contraction method
Self-adaptive rule
Symmetric linear variational inequalities

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10.1016/S0898-1221(01)00269-3

Cite this

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title = "A self-adaptive projection and contraction method for monotone symmetric linear variational inequalities",

abstract = "In this paper, we present a self-adaptive projection and contraction (SAPC) method for solving symmetric linear variational inequalities. Preliminary numerical tests show that the proposed method is efficient and effective and depends only slightly on its initial parameter. The global convergence of the new method is also addressed.",

keywords = "Projection and contraction method, Self-adaptive rule, Symmetric linear variational inequalities",

author = "Liao, {Li Zhi} and Shengli Wang",

note = "Funding Information: *Author to whom all correspondence should be addressed. The research was supported in part by Grant FRG/99-00/II-23 of Hong Kong Baptist University (first author) and the NSFC Grant 19971040 (second author).",

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AU - Liao, Li Zhi

AU - Wang, Shengli

N1 - Funding Information: *Author to whom all correspondence should be addressed. The research was supported in part by Grant FRG/99-00/II-23 of Hong Kong Baptist University (first author) and the NSFC Grant 19971040 (second author).

PY - 2002/1

Y1 - 2002/1

N2 - In this paper, we present a self-adaptive projection and contraction (SAPC) method for solving symmetric linear variational inequalities. Preliminary numerical tests show that the proposed method is efficient and effective and depends only slightly on its initial parameter. The global convergence of the new method is also addressed.

AB - In this paper, we present a self-adaptive projection and contraction (SAPC) method for solving symmetric linear variational inequalities. Preliminary numerical tests show that the proposed method is efficient and effective and depends only slightly on its initial parameter. The global convergence of the new method is also addressed.

KW - Projection and contraction method

KW - Self-adaptive rule

KW - Symmetric linear variational inequalities

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U2 - 10.1016/S0898-1221(01)00269-3

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M3 - Journal article

AN - SCOPUS:0036144485

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ER -

A self-adaptive projection and contraction method for monotone symmetric linear variational inequalities

Abstract

Scopus Subject Areas

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