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Approximate proximal algorithms for generalized variational inequalities with pseudomonotone multifunctions

โœ Scribed by Ceng, L. C. (author);Yao, J. C. (author)

Publisher
Elsevier Science
Year
2008
Tongue
English
Weight
216 KB
Volume
213
Category
Article
ISSN
0377-0427

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๐Ÿ“œ SIMILAR VOLUMES

Approximate proximal algorithms for gene
Approximate proximal algorithms for generalized variational inequalities with pseudomonotone multifunctions
โœ Ceng, L. C. (author);Yao, J. C. (author) ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 216 KB

The purpose of this paper is to investigate the convergence of general approximate proximal algorithm (resp. general Bregmanfunction-based approximate proximal algorithm) for solving the generalized variational inequality problem (for short, GVI(T , ) where T is a multifunction). The general approxi

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โœ L.C. Ceng; T.C. Lai; J.C. Yao ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 209 KB

We propose an approximate proximal algorithm for solving generalized variational inequalities in Hilbert space. Extension to Bregman-function-based approximate proximal algorithm is also discussed. Weak convergence of these two algorithms are established under the paramonotonicity and pseudomonotoni