Algorithmic and analytical approach to the proximal split feasibility problem and fixed point problem
Filomat, Tome 36 (2022) no. 2, p. 439
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In this paper, we investigate the proximal split feasibility algorithm and fixed point problem in Hilbert spaces. We propose an iterative algorithm for finding a common element of the solution of the proximal split feasibility algorithm and fixed point of an L-Lipschitz pseudocontractive operator. We demonstrate that the considered algorithm converges strongly to a common point of the investigated problems under some mild conditions
Classification :
47H06, 47H09, 49J05, 47J25
Keywords: proximal split feasibility problem, proximal mappings, fixed point, pseudocontractive operator
Keywords: proximal split feasibility problem, proximal mappings, fixed point, pseudocontractive operator
Tzu-Chien Yin. Algorithmic and analytical approach to the proximal split feasibility problem and fixed point problem. Filomat, Tome 36 (2022) no. 2, p. 439 . doi: 10.2298/FIL2202439Y
@article{10_2298_FIL2202439Y,
author = {Tzu-Chien Yin},
title = {Algorithmic and analytical approach to the proximal split feasibility problem and fixed point problem},
journal = {Filomat},
pages = {439 },
year = {2022},
volume = {36},
number = {2},
doi = {10.2298/FIL2202439Y},
language = {en},
url = {http://geodesic.mathdoc.fr/articles/10.2298/FIL2202439Y/}
}
TY - JOUR AU - Tzu-Chien Yin TI - Algorithmic and analytical approach to the proximal split feasibility problem and fixed point problem JO - Filomat PY - 2022 SP - 439 VL - 36 IS - 2 UR - http://geodesic.mathdoc.fr/articles/10.2298/FIL2202439Y/ DO - 10.2298/FIL2202439Y LA - en ID - 10_2298_FIL2202439Y ER -
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