Inertial Splitting Methods Without Prior Constants for Solving Variational Inclusions of Two Operators
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Inertial Splitting Methods Without Prior Constants for Solving Variational Inclusions of Two Operators
Authors
Keywords
-
Journal
Bulletin of the Iranian Mathematical Society
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-02-08
DOI
10.1007/s41980-022-00682-3
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Equilibrium Programming and New Iterative Methods in Hilbert Spaces
- (2021) Dang Van Hieu et al. ACTA APPLICANDAE MATHEMATICAE
- Modified forward–backward splitting method for variational inclusions
- (2020) Dang Van Hieu et al. 4OR-A Quarterly Journal of Operations Research
- Strong convergence analysis of common variational inclusion problems involving an inertial parallel monotone hybrid method for a novel application to image restoration
- (2020) Watcharaporn Cholamjiak et al. Revista de la Real Academia de Ciencias Exactas Fisicas y Naturales Serie A-Matematicas
- New strong convergence method for the sum of two maximal monotone operators
- (2020) Yekini Shehu et al. OPTIMIZATION AND ENGINEERING
- Modified extragradient-like algorithms with new stepsizes for variational inequalities
- (2019) Dang Van Hieu et al. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS
- A new algorithm for solving the split common null point problem in Hilbert spaces
- (2019) Simeon Reich et al. NUMERICAL ALGORITHMS
- Convergence Results of Forward-Backward Algorithms for Sum of Monotone Operators in Banach Spaces
- (2019) Yekini Shehu Results in Mathematics
- Iterative methods for solving the generalized split common null point problem in Hilbert spaces
- (2019) Simeon Reich et al. OPTIMIZATION
- Three-operator splitting algorithm for a class of variational inclusion problems
- (2019) Dang Van Hieu et al. Bulletin of the Iranian Mathematical Society
- Finding the Forward-Douglas–Rachford-Forward Method
- (2019) Ernest K. Ryu et al. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
- Two projection methods for solving the multiple-set split common null point problem in Hilbert spaces
- (2019) Simeon Reich et al. OPTIMIZATION
- Relaxed extragradient algorithm for solving pseudomonotone variational inequalities in Hilbert spaces
- (2019) Dang Van Hieu et al. OPTIMIZATION
- Comparison of Two Kinds of Modified PredictionCorrection Methods for Pseudomonotone Variational Inequalities
- (2018) Kan Buranakorn et al. Applied Mathematics & Information Sciences
- Comparison of Two Kinds of Modified PredictionCorrection Methods for Pseudomonotone Variational Inequalities
- (2018) Kan Buranakorn et al. Applied Mathematics & Information Sciences
- Convergence Analysis of an Inexact Three-Operator Splitting Algorithm
- (2018) Chunxiang Zong et al. Symmetry-Basel
- A Three-Operator Splitting Scheme and its Optimization Applications
- (2017) Damek Davis et al. Set-Valued and Variational Analysis
- On split inclusion problem and fixed point problem for multi-valued mappings
- (2017) Yekini Shehu et al. computational and applied mathematics
- Adaptive subgradient method for the split quasi-convex feasibility problems
- (2016) Nimit Nimana et al. OPTIMIZATION
- Strong convergence result of forward–backward splitting methods for accretive operators in banach spaces with applications
- (2016) Yekini Shehu et al. Revista de la Real Academia de Ciencias Exactas Fisicas y Naturales Serie A-Matematicas
- An inertial forward-backward-forward primal-dual splitting algorithm for solving monotone inclusion problems
- (2015) Radu Ioan Boţ et al. NUMERICAL ALGORITHMS
- Primal-Dual Splitting Algorithm for Solving Inclusions with Mixtures of Composite, Lipschitzian, and Parallel-Sum Type Monotone Operators
- (2011) Patrick L. Combettes et al. Set-Valued and Variational Analysis
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started