Abstract
In this paper, we propose two iterative algorithms for finding the minimum-norm solution of a split minimization problem. We prove strong convergence of the sequences generated by the proposed algorithms. The iterative schemes are proposed in such a way that the selection of the step-sizes does not need any prior information about the operator norm. We further give some examples to numerically verify the efficiency and implementation of our new methods and compare the two algorithms presented. Our results act as supplements to several recent important results in this area.
| Original language | English |
|---|---|
| Pages (from-to) | 193-215 |
| Number of pages | 23 |
| Journal | Numerical Algorithms |
| Volume | 78 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1 May 2018 |
Bibliographical note
Publisher Copyright:© 2017, Springer Science+Business Media, LLC.
Keywords
- Iterative methods
- Moreau-Yosida approximate
- Prox-regularity
- Proximal split minimization problems
- Strong convergence
ASJC Scopus subject areas
- Applied Mathematics