- Home
- Publications
- Publication Search
- Publication Details
Title
On Proximal Algorithms with Inertial Effects Beyond Monotonicity
Authors
Keywords
-
Journal
NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION
Volume -, Issue -, Pages 1-19
Publisher
Informa UK Limited
Online
2023-10-13
DOI
10.1080/01630563.2023.2266762
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Relaxed-inertial proximal point type algorithms for quasiconvex minimization
- (2022) S.-M. Grad et al. JOURNAL OF GLOBAL OPTIMIZATION
- Weakly-convex–concave min–max optimization: provable algorithms and applications in machine learning
- (2021) Hassan Rafique et al. OPTIMIZATION METHODS & SOFTWARE
- Proximal Methods Avoid Active Strict Saddles of Weakly Convex Functions
- (2021) Damek Davis et al. FOUNDATIONS OF COMPUTATIONAL MATHEMATICS
- On the proximal point algorithm and its Halpern-type variant for generalized monotone operators in Hilbert space
- (2021) Ulrich Kohlenbach Optimization Letters
- Fast Convergence of Dynamical ADMM via Time Scaling of Damped Inertial Dynamics
- (2021) Hedy Attouch et al. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
- Extrapolated Proximal Subgradient Algorithms for Nonconvex and Nonsmooth Fractional Programs
- (2021) Radu Ioan Boţ et al. MATHEMATICS OF OPERATIONS RESEARCH
- Relative-error inertial-relaxed inexact versions of Douglas-Rachford and ADMM splitting algorithms
- (2020) M. Marques Alves et al. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS
- Non-convex Total Variation Regularization for Convex Denoising of Signals
- (2020) Ivan Selesnick et al. JOURNAL OF MATHEMATICAL IMAGING AND VISION
- Generalized monotone operators and their averaged resolvents
- (2020) Heinz H. Bauschke et al. MATHEMATICAL PROGRAMMING
- Inertial proximal gradient methods with Bregman regularization for a class of nonconvex optimization problems
- (2020) Zhongming Wu et al. JOURNAL OF GLOBAL OPTIMIZATION
- Stochastic Model-Based Minimization of Weakly Convex Functions
- (2019) Damek Davis et al. SIAM JOURNAL ON OPTIMIZATION
- On Inexact Relative-Error Hybrid Proximal Extragradient, Forward-Backward and Tseng’s Modified Forward-Backward Methods with Inertial Effects
- (2019) M. Marques Alves et al. Set-Valued and Variational Analysis
- About Proximal-Type Methods for a Class of Nonmonotone Operators
- (2019) Abdellatif Moudafi Bulletin of the Iranian Mathematical Society
- Convergence Analysis of Douglas--Rachford Splitting Method for “Strongly + Weakly” Convex Programming
- (2017) Ke Guo et al. SIAM JOURNAL ON NUMERICAL ANALYSIS
- Inertial Douglas–Rachford splitting for monotone inclusion problems
- (2015) Radu Ioan Boţ et al. APPLIED MATHEMATICS AND COMPUTATION
- A Hybrid Proximal-Extragradient Algorithm with Inertial Effects
- (2015) Radu Ioan Boţ et al. NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION
- The Primal-Dual Hybrid Gradient Method for Semiconvex Splittings
- (2015) Thomas Möllenhoff et al. SIAM Journal on Imaging Sciences
- Inertial Proximal ADMM for Linearly Constrained Separable Convex Optimization
- (2015) Caihua Chen et al. SIAM Journal on Imaging Sciences
- An Inertial Forward-Backward Algorithm for Monotone Inclusions
- (2014) Dirk A. Lorenz et al. JOURNAL OF MATHEMATICAL IMAGING AND VISION
- iPiano: Inertial Proximal Algorithm for Nonconvex Optimization
- (2014) Peter Ochs et al. SIAM Journal on Imaging Sciences
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search