A Modified Tseng Splitting Method with Double Inertial Steps for Solving Monotone Inclusion Problems
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Modified Tseng Splitting Method with Double Inertial Steps for Solving Monotone Inclusion Problems
Authors
Keywords
-
Journal
JOURNAL OF SCIENTIFIC COMPUTING
Volume 96, Issue 3, Pages -
Publisher
Springer Science and Business Media LLC
Online
2023-08-11
DOI
10.1007/s10915-023-02311-5
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Inertial Splitting Methods Without Prior Constants for Solving Variational Inclusions of Two Operators
- (2022) Prasit Cholamjiak et al. Bulletin of the Iranian Mathematical Society
- Subgradient Extragradient Method with Double Inertial Steps for Variational Inequalities
- (2022) Yonghong Yao et al. JOURNAL OF SCIENTIFIC COMPUTING
- Second Order Splitting Dynamics with Vanishing Damping for Additively Structured Monotone Inclusions
- (2022) Radu Ioan Boţ et al. Journal of Dynamics and Differential Equations
- A modified inertial subgradient extragradient method for solving variational inequalities
- (2021) Yekini Shehu et al. OPTIMIZATION AND ENGINEERING
- Explicit extragradient-like method with adaptive stepsizes for pseudomonotone variational inequalities
- (2021) Duong Viet Thong et al. Optimization Letters
- Strong convergence of inertial forward–backward methods for solving monotone inclusions
- (2021) Tan Bing et al. APPLICABLE ANALYSIS
- Inertial projection and contraction algorithms with larger step sizes for solving quasimonotone variational inequalities
- (2021) Zhong-bao Wang et al. JOURNAL OF GLOBAL OPTIMIZATION
- Relaxed Forward–Backward Splitting Methods for Solving Variational Inclusions and Applications
- (2021) Prasit Cholamjiak et al. JOURNAL OF SCIENTIFIC COMPUTING
- An Efficient Inertial Type Iterative Algorithm to Approximate the Solutions of Quasi Variational Inequalities in Real Hilbert Spaces
- (2021) Ayşegül Keten Çopur et al. JOURNAL OF SCIENTIFIC COMPUTING
- Modified forward–backward splitting method for variational inclusions
- (2020) Dang Van Hieu et al. 4OR-A Quarterly Journal of Operations Research
- Relaxed Inertial Tseng’s Type Method for Solving the Inclusion Problem with Application to Image Restoration
- (2020) Jamilu Abubakar et al. Mathematics
- Strong convergence theorems for inertial Tseng’s extragradient method for solving variational inequality problems and fixed point problems
- (2020) Gang Cai et al. Optimization Letters
- First-order optimization algorithms via inertial systems with Hessian driven damping
- (2020) Hedy Attouch et al. MATHEMATICAL PROGRAMMING
- A strong convergence theorem for Tseng’s extragradient method for solving variational inequality problems
- (2019) Duong Viet Thong et al. Optimization Letters
- Convergence of a Relaxed Inertial Forward–Backward Algorithm for Structured Monotone Inclusions
- (2019) Hedy Attouch et al. APPLIED MATHEMATICS AND OPTIMIZATION
- Convergence analysis of projection method for variational inequalities
- (2019) Yekini Shehu et al. computational and applied mathematics
- Tseng type methods for solving inclusion problems and its applications
- (2018) Aviv Gibali et al. CALCOLO
- A strong convergence result involving an inertial forward–backward algorithm for monotone inclusions
- (2017) Qiaoli Dong et al. Journal of Fixed Point Theory and Applications
- A Generalized Forward-Backward Splitting
- (2013) Hugo Raguet et al. SIAM Journal on Imaging Sciences
- Convergence theorems for inertial KM-type algorithms
- (2007) Paul-Emile Maingé JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started