The forward-backward splitting method for non-Lipschitz continuous minimization problems in Banach spaces
From MaRDI portal
Publication:2080834
DOI10.1007/s11590-021-01840-yzbMath1503.90157OpenAlexW4220792219MaRDI QIDQ2080834
Publication date: 11 October 2022
Published in: Optimization Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11590-021-01840-y
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Dualization of signal recovery problems
- Novel forward-backward algorithms for optimization and applications to compressive sensing and image inpainting
- On the convergence of the forward–backward splitting method with linesearches
- Coupling Forward-Backward with Penalty Schemes and Parallel Splitting for Constrained Variational Inequalities
- Nonlinear Ill-posed Problems of Monotone Type
- The Generalized Forward-Backward Splitting Method for the Minimization of the Sum of Two Functions in Banach Spaces
- A forward–backward splitting algorithm for the minimization of non-smooth convex functionals in Banach space
- Splitting Algorithms for the Sum of Two Nonlinear Operators
- First Order Methods Beyond Convexity and Lipschitz Gradient Continuity with Applications to Quadratic Inverse Problems
- The Variable Metric Forward-Backward Splitting Algorithm Under Mild Differentiability Assumptions
- On convergence and complexity of the modified forward‐backward method involving new linesearches for convex minimization
- Signal Recovery by Proximal Forward-Backward Splitting
- A Descent Lemma Beyond Lipschitz Gradient Continuity: First-Order Methods Revisited and Applications
- Convex analysis and monotone operator theory in Hilbert spaces
This page was built for publication: The forward-backward splitting method for non-Lipschitz continuous minimization problems in Banach spaces
