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
Iterative algorithm for finding approximate solutions to completely generalized strongly quasivariational inequalities for fuzzy mappings
β Scribed by Jong Yeoul Park; Jae Ug Jeong
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 92 KB
- Volume
- 115
- Category
- Article
- ISSN
- 0165-0114
No coin nor oath required. For personal study only.
β¦ Synopsis
In this paper, we construct a new iterative algorithm, which includes many known algorithms as special cases to solve variational inequalities and quasivariational inequalities for fuzzy mappings. Further, we prove the convergence of the iterative sequences generated by this algorithm. Our results are the extension and improvements of the earlier and recent results in this ΓΏeld.
π SIMILAR VOLUMES
In this paper, we prove an existence theorem of solutions and develop the algorithms of approximating solutions for a completely generalized strongly variational inequality problem for fuzzy mappings and a completely generalized strongly complementarity problem for fuzzy mappings by using the projec