A Fast Fixed-Point Algorithm for Convex Minimization Problems and Its Application in Image Restoration Problems
Keyword(s):
In this paper, we introduce a new iterative method using an inertial technique for approximating a common fixed point of an infinite family of nonexpansive mappings in a Hilbert space. The proposed method’s weak convergence theorem was established under some suitable conditions. Furthermore, we applied our main results to solve convex minimization problems and image restoration problems.
2019 ◽
Vol 354
◽
pp. 471-495
◽
2015 ◽
Vol 08
(02)
◽
pp. 1550036
1991 ◽
Vol 29
(4)
◽
pp. 829-847
◽
Nonconforming discretizations of convex minimization problems and precise relations to mixed methods
2021 ◽
Vol 93
◽
pp. 214-229
Keyword(s):