Inertial Modified S-Iteration Process for Split Monotone Inclusion and Fixed Point Problem In Real Hilbert Space
Shamshad Husain, Uqba Rafat

TL;DR
This paper introduces an inertial modified S-iteration method to efficiently find common solutions to split monotone inclusion and fixed point problems in Hilbert spaces, with proven convergence and numerical validation.
Contribution
It develops a novel inertial S-iteration algorithm that accelerates convergence for solving split monotone inclusion and fixed point problems, with strong convergence guarantees.
Findings
The algorithm converges strongly under mild conditions.
Numerical example demonstrates effective acceleration.
Method applicable to real Hilbert spaces.
Abstract
In this article we present a modified S-iteration process that we combine with inertial extrapolation to find a common solution to the split monotone inclusion problem and the fixed point problem in real Hilbert space.Our goal is to establish a strong convergence theorem for approximating a common solution.Under some mild conditions,the problem can be solved. We also provide a numerical example to show that our algorithms acceleration works well.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsOptimization and Variational Analysis · Advanced Optimization Algorithms Research · Fixed Point Theorems Analysis
