Abstract Proceedings of IESMDT - 2021
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A STUDY ON A TWO-STEP ITERATIVE ALGORITHM FOR FINDING COMMON FIXED POINT OF BREGMAN QUASI STRICT PSEUDO-CONTRACTION MAPPINGS WITH APPLICATIONS
Motivated by some results of authors in this direction, our purpose in this paper is to construct a two-step iterative algorithm with inertial extrapolation term defined with respect to Bregman distance function for approximating common fixed points of a finite family of a closed Bregman quasi strictly pseudo-contraction mappings when the intersection of its set is assumed to be non empty. We prove a strong convergence theorem for it under flexible and relaxed conditions in real reflexive Banach space. Our algorithm is applied in solving finite convex feasibility and equilibrium problems in reflexive Banach space. Furthermore, we demonstrate numerical examples to justify the efficiency and implementability of our algorithms in a finite dimensional real Banach space. Our results improves, generalizes and complements other previously and recently cited results of some authors in the literature of our procedure. It is intended that our procedure complement our motivated result cited in the literature.
Bregman quasi strict pseudo-contraction mappings; common fixed point; strong convergence theorem; reflexive Banach space; Bregman distance function
17/09/2021
263
IESMDT261
IMPORTANT DAYS
Paper Submission Last Date
October 20th, 2024
Notification of Acceptance
November 7th, 2024
Camera Ready Paper Submission & Author's Registration
November 1st, 2024
Date of Conference
November 15th, 2024
Publication
January 30th, 2025