Perturbed iterative algorithms with errors for completely generalized strongly nonlinear implicit quasivariational inclusions

Autor: Huang NJ, Shim SH, Kang SM, Cho YJ
Jazyk: angličtina
Rok vydání: 2000
Předmět:
Zdroj: Journal of Inequalities and Applications, Vol 2000, Iss 4, p 314043 (2000)
Druh dokumentu: article
ISSN: 1025-5834
1029-242X
Popis: In this paper, we introduce a new class of completely generalized strongly nonlinear implicit quasivariational inclusions and prove its equivalence with a class of fixed point problems by using some properties of maximal monotone mappings. We also prove the existence of solutions for the completely generalized strongly nonlinear implicit quasivariational inclusions and the convergence of iterative sequences generated by the perturbed algorithms with errors.
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