Modified random errors S-iterative process for stochastic fixed point theorems in a generalized convex metric space

Autor:	Parin Chaipunya, Plern Saipara, Wiyada Kumam
Jazyk:	angličtina
Rok vydání:	2017
Předmět:	Statistics and Probability Random graph Control and Optimization Random field Random function Random element Modified random S-iteration Common random fixed point theorems Generalized convex metric spaces Convex structure Point process Convex metric space Combinatorics Convergence of random variables Artificial Intelligence Signal Processing Random compact set Applied mathematics Computer Vision and Pattern Recognition Statistics Probability and Uncertainty lcsh:Probabilities. Mathematical statistics lcsh:QA273-280 Information Systems Mathematics
Zdroj:	Statistics, Optimization and Information Computing, Vol 5, Iss 1, Pp 65-74 (2017)
ISSN:	2310-5070
Popis:	In this paper, we suggest the modified random S-iterative process and prove the common random fixed point theorems of a finite family of random uniformly quasi-Lipschitzian operators in a generalized convex metric space. Our results improves and extends various results in the literature.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91a7d83333ae4219fe6de2ee503e9e35 http://www.iapress.org/index.php/soic/article/view/250 Zobrazit plný text záznamu