Cover Image

La Méthode du Gradient Proximé

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Combettes, Patrick L.
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Variational Analysis of Proximal Compositions and Integral Proximal Mixtures
by: Combettes, Patrick L., et al.
Published: (2024)

The Geometry of Monotone Operator Splitting Methods
by: Combettes, Patrick L.
Published: (2023)

Proximal Comixture Minimization Models for Image Recovery and Data Analysis
by: Combettes, Patrick L., et al.
Published: (2024)

Integral Resolvent and Proximal Mixtures
by: Bùi, Minh N., et al.
Published: (2023)

Proximity Operators of Perspective Functions with Nonlinear Scaling
by: Briceño-Arias, Luis M., et al.
Published: (2023)

Almost-Surely Convergent Randomly Activated Monotone Operator Splitting Methods
by: Combettes, Patrick L., et al.
Published: (2024)

Asymptotic Analysis of an Abstract Stochastic Scheme for Solving Monotone Inclusions
by: Combettes, Patrick L., et al.
Published: (2025)

Lower Bounds on the Haraux Function
by: Combettes, Patrick L., et al.
Published: (2025)

Conditional Gradient Methods
by: Braun, Gábor, et al.
Published: (2022)

A Geometric Framework for Stochastic Iterations
by: Combettes, Patrick L., et al.
Published: (2025)

Convergence of the Iterates of the Stochastic Proximal Gradient Method
by: Madariaga, Javier I.
Published: (2026)

A Relative Inexact Proximal Gradient Method with an Explicit Linesearch
by: Bello-Cruz, Yunier, et al.
Published: (2024)

Universal Adaptive Proximal Gradient Methods via Gradient Mapping Accumulation
by: Wang, Zimeng, et al.
Published: (2026)

Accelerated Proximal Gradient Method with Backtracking for Multiobjective Optimization
by: Huang, Chengzhi, et al.
Published: (2024)

A Proximal Gradient Method with an Explicit Line search for Multiobjective Optimization
by: Bello-Cruz, Yunier, et al.
Published: (2024)

Convergence Rate Analysis for Monotone Accelerated Proximal Gradient Method
by: Wang, Zepeng, et al.
Published: (2025)

A Simple Adaptive Proximal Gradient Method for Nonconvex Optimization
by: Ye, Zilong, et al.
Published: (2025)

Distributed and Inexact Proximal Gradient Method for Online Convex Optimization
by: Bastianello, Nicola, et al.
Published: (2020)

Anisotropic Proximal Gradient
by: Laude, Emanuel, et al.
Published: (2022)

Hinge-Proximal Stochastic Gradient Methods for Convex Optimization with Functional Constraints
by: Rajoriya, Vaibhav, et al.
Published: (2025)

Smoothing Accelerated Proximal Gradient Method with Backtracking for Nonsmooth Multiobjective Optimization
by: Chengzhi, Huang
Published: (2025)

Boosting Accelerated Proximal Gradient Method with Adaptive Sampling for Stochastic Composite Optimization
by: Zhu, Dongxuan, et al.
Published: (2025)

Fast Accelerated Proximal Gradient Method with New Extrapolation Term for Multiobjective Optimization
by: Huang, Chengzhi
Published: (2025)

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks
by: Huang, Kun, et al.
Published: (2024)

A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems
by: Wang, Qingsong, et al.
Published: (2024)

Inexact Accelerated Proximal Gradient Method Revisit: An Economical Variant via Shadow Points
by: Yang, Lei, et al.
Published: (2025)

A Zeroth-order Proximal Stochastic Gradient Method for Weakly Convex Stochastic Optimization
by: Pougkakiotis, Spyridon, et al.
Published: (2022)

Stochastic Bregman Proximal Gradient Method Revisited: Kernel Conditioning and Painless Variance Reduction
by: Zhang, Junyu
Published: (2024)

A Newton-Type Proximal Gradient Method for Nonlinear Multi-objective Optimization Problems
by: Ansary, Md Abu Talhamainuddin
Published: (2022)

Smoothing Accelerated Proximal Gradient Method with Fast Convergence Rate for Nonsmooth Multi-objective Optimization
by: Huang, Chengzhi
Published: (2023)

Linear Convergence of the Proximal Gradient Method for Composite Optimization Under the Polyak-Łojasiewicz Inequality and Its Variant
by: Kong, Qingyuan, et al.
Published: (2024)

Improved Analysis of Restarted Accelerated Gradient and Augmented Lagrangian Methods via Inexact Proximal Point Frameworks
by: Burns, Matthew X., et al.
Published: (2026)

Inexact Bregman Proximal Gradient Method and its Inertial Variant with Absolute and Partial Relative Stopping Criteria
by: Yang, Lei, et al.
Published: (2021)

Adaptive Proximal Gradient Method for Convex Optimization
by: Malitsky, Yura, et al.
Published: (2023)

Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning
by: Ding, Kuangyu, et al.
Published: (2023)

On the Acceleration of Proximal Bundle Methods
by: Fersztand, David, et al.
Published: (2025)

Mirror-Free Proximal Methods
by: Vyas, Abhijeet, et al.
Published: (2026)

Inertial Bregman Proximal Gradient under Partial Smoothness
by: Godeme, Jean-Jacques
Published: (2025)

Perturbed Proximal Gradient ADMM for Nonconvex Composite Optimization
by: Zhou, Yuan, et al.
Published: (2025)

Convergence of Nonmonotone Proximal Gradient Methods under the Kurdyka-Lojasiewicz Property without a Global Lipschitz Assumption
by: Kanzow, Christian, et al.
Published: (2024)