Modified proximal point algorithms involving convex combination technique for solving minimization problems with convergence analysis-Reference-Cited by-同舟云学术

Modified proximal point algorithms involving convex combination technique for solving minimization problems with convergence analysis

Published:2019-09-03 Issue:7-8 Volume:69 Page:1655-1680
ISSN:0233-1934
Container-title:Optimization
language:en
Short-container-title:Optimization

Author:

Wairojjana Nopparat¹^ORCID,Pakkaranang Nuttapol²³^ORCID,Uddin Izhar⁴^ORCID,Kumam Poom²⁵⁶⁷^ORCID,Awwal Aliyu Muhammed²³⁸^ORCID

Affiliation:

1. Applied Mathematics Program, Faculty of Science and Technology, Valaya Alongkorn Rajabhat University under the Royal Patronage (VRU), Pathumthani, Thailand

2. KMUTTFixed Point Research Laboratory, KMUTT-Fixed Point Theory and Applications Research Group, SCL 802 Fixed Point Laboratory, King Mongkut's University of Technology Thonburi (KMUTT), Bangkok, Thailand

3. Department of Mathematics, Faculty of Science, King Mongkut's University of Technology Thonburi (KMUTT), Bangkok, Thailand

4. Department of Mathematics, Faculty of Natural Science, Jamia Millia Islamia, New Delhi, India

5. Center of Excellence in Theoretical and Computational Science (TaCS-CoE), Science Laboratory Building, Faculty of Science, King Mongkut's University of Technology Thonburi (KMUTT), Bangkok, Thailand

6. Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan

7. Present address: Department of Mathematics, Faculty of Science, King Mongkut's University of Technology Thonburi (KMUTT), Bangkok, Thailand

8. Department of Mathematics, Faculty of Science, Gombe State University, Gombe, Nigeria

Funder

Thailand Research Fund

King Mongkut's University of Technology Thonburi

Publisher

Informa UK Limited

Subject

Applied Mathematics,Management Science and Operations Research,Control and Optimization

Link

https://www.tandfonline.com/doi/pdf/10.1080/02331934.2019.1657115

Reference41 articles.

1. Monotone Operators and the Proximal Point Algorithm

2. Produits infinis de resolvantes

3. Strong convergence of contraction semigroups and of iterative methods for accretive operators in Banach spaces

4. Forcing strong convergence of proximal point iterations in a Hilbert space

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An intermixed algorithm for solving fixed point problems of proximal operators in Hilbert Spaces;CARPATHIAN J MATH;2024

2. Strong Convergence Theorem for Finding a Common Solution of Convex Minimization and Fixed Point Problems in CAT(0) Spaces;Abstract and Applied Analysis;2022-02-15

3. On solving efficient matrix-free method via quasi-Newton approach for solving system of nonlinear equations;Advances in the Theory of Nonlinear Analysis and its Application;2021-12-30

4. An iterative scheme for split equality equilibrium problems and split equality hierarchical fixed point problem;Advances in Difference Equations;2021-04-29

5. Hybrid viscosity implicit scheme for variational inequalities over the fixed point set of an asymptotically nonexpansive mapping in the intermediate sense in Banach spaces;Applied Numerical Mathematics;2021-02