In this paper, we introduce a class of generalized quasivariational inclusions and show its equivalence with a class of fixed point problems by making use of the properties of proximal maps. Using this equivalence, we develop the Mann and Ishikawa type perturbed iterative algorithms for this class o
Perturbed Proximal Point Algorithms for Generalized Quasivariational Inclusions
โ Scribed by Xie Ping Ding
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 224 KB
- Volume
- 210
- Category
- Article
- ISSN
- 0022-247X
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โฆ Synopsis
In this paper, we study a class of generalized quasivariational inclusions. By using the properties of the resolvent operator associated with a maximal monotone mapping in Hilbert space, we have established an existence theorem of solutions for generalized quasivariational inclusions, suggesting a new iterative algorithm and a perturbed proximal point algorithm for finding approximate solutions which strongly converge to the exact solution of the generalized quasivariational inclusions. As special cases, some known results in this field are also discussed. แฎ 1997 Academic Press
๐ SIMILAR VOLUMES
In the present paper, we study a perturbed iterative method for solving a general class of variational inclusions. An existence result which generalizes some known results in this field, a convergence result, and a new iterative method are given. We also prove the continuity of the perturbed solutio
In this paper, we introduce a class of completely generalized strongly nonlinear quasivariational inequalities and construct a new iterative algorithm, which includes many known algorithms as special cases to solve variational inequalities and quasivariational inequalities. Further, we prove the con