Iterative algorithm for finding approximate solutions of mixed quasi-variational-like inclusions
โ Scribed by Lu-Chuan Ceng; Sy-Ming Guu; Jen-Chih Yao
- Book ID
- 108077229
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 297 KB
- Volume
- 56
- Category
- Article
- ISSN
- 0898-1221
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๐ SIMILAR VOLUMES
## a b s t r a c t In this paper, we extend the auxiliary variational inequality technique due to Ding and Yao [X.P. Ding, J.C. Yao, Existence and algorithm of solutions for mixed quasi-variationallike inclusions in Banach spaces, Comput. Math. Appl. 49 (2005) 857-869] to develop iterative algorith
In this paper, we consider the system of generalized mixed quasi-variational-like inclusions in Hilbert spaces. We extend the auxiliary principle technique to develop a three-step iterative algorithm for solving the system of generalized mixed quasivariational-like inclusions. Under the assumptions
In this paper, we consider a system of nonlinear variational-like inclusions (SNVLI) in Hilbert spaces. In particular, SNVLI reduces to a variational inclusion, an extension of variational inclusion studied by Hassouni and Moudafi [1]. Using fixed-point method, we suggest an iterative algorithm for