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Proximal point algorithms based on S-iterative technique for nearly asymptotically quasi-nonexpansive mappings and applications.

Authors :
Sahu, D. R.
Kumar, Ajeet
Kang, Shin Min
Source :
Numerical Algorithms. Apr2021, Vol. 86 Issue 4, p1561-1590. 30p.
Publication Year :
2021

Abstract

In this paper, we combine the S-iteration process introduced by Agarwal et al. (J. Nonlinear Convex Anal., 8(1), 61–79 2007) with the proximal point algorithm introduced by Rockafellar (SIAM J. Control Optim., 14, 877–898 1976) to propose a new modified proximal point algorithm based on the S-type iteration process for approximating a common element of the set of solutions of convex minimization problems and the set of fixed points of nearly asymptotically quasi-nonexpansive mappings in the framework of CAT(0) spaces and prove the △-convergence of the proposed algorithm for solving common minimization problem and common fixed point problem. Our result generalizes, extends and unifies the corresponding results of Dhompongsa and Panyanak (Comput. Math. Appl., 56, 2572–2579 2008), Khan and Abbas (Comput. Math. Appl., 61, 109–116 2011), Abbas et al. (Math. Comput. Modelling, 55, 1418–1427 2012) and many more. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10171398
Volume :
86
Issue :
4
Database :
Academic Search Index
Journal :
Numerical Algorithms
Publication Type :
Academic Journal
Accession number :
149248698
Full Text :
https://doi.org/10.1007/s11075-020-00945-2