A modified proximal point algorithm for solving variational inclusion problem in real Hilbert spaces
The purpose of this paper is to use a modified proximal point algorithm for solving variational inclusion problem in real Hilbert spaces. It is proven that the sequence generated by the proposed iterative algorithm converges strongly to the common solution of the convex minimization and variational...
Saved in:
Main Author: | Thierno M. M. Sow |
---|---|
Format: | Article |
Language: | English |
Published: |
EJAAM
2020-06-01
|
Series: | E-Journal of Analysis and Applied Mathematics |
Subjects: | |
Online Access: | https://ejaam.org/articles/2020/10.2478-ejaam-2020-0003.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Non-Convex Split Feasibility Problems: Models, Algorithms and Theory
by: Gibali, Aviv, et al.
Published: (2020-10-01) -
Sparse Regularization With Reverse Sorted Sum of Squares via an Unrolled Difference-of-Convex Approach
by: Takayuki Sasaki, et al.
Published: (2025-01-01) -
Inertial-relaxed splitting for composite monotone inclusions
by: Oré, Ernesto, et al.
Published: (2023-02-01) -
Riemann–Hilbert boundary value problem for multidimensional elliptic systems of equations
by: Eugenijus Paliokas
Published: (2023-09-01) -
An interior proximal gradient method for nonconvex optimization
by: De Marchi, Alberto, et al.
Published: (2024-07-01)