Cover Image

Understanding the Douglas-Rachford splitting method through the lenses of Moreau-type envelopes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Atenas, Felipe
Format:	Preprint
Published:	2023
Subjects:	Optimization and Control 90C30, 90C26, 49J52, 65K05, 65K10
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Shadow splitting methods for nonconvex optimisation: epi-approximation, convergence and saddle point avoidance
by: Atenas, Felipe
Published: (2025)

A relaxed version of Ryu's three-operator splitting method for structured nonconvex optimization
by: Alcantara, Jan Harold, et al.
Published: (2025)

Moreau envelope and proximal-point methods under the lens of high-order regularization
by: Kabgani, Alireza, et al.
Published: (2025)

Riemannian Trust Region Methods for SC$^1$ Minimization
by: Zhang, Chenyu, et al.
Published: (2023)

ItsOPT: An inexact two-level smoothing framework for nonconvex optimization via high-order Moreau envelope
by: Kabgani, Alireza, et al.
Published: (2024)

Convergence of the Preconditioned Proximal Point Method and Douglas-Rachford Splitting in the Absence of Monotonicity
by: Evens, Brecht, et al.
Published: (2023)

First-order majorization-minimization meets high-order majorant: Boosted inexact high-order forward-backward method
by: Kabgani, Alireza, et al.
Published: (2025)

Cyclic Relaxed Douglas-Rachford Splitting for Inconsistent Nonconvex Feasibility
by: Dinh, Thi Lan, et al.
Published: (2025)

A truncated epsilon-subdifferential method for global DC optimization
by: Bagirov, Adil M., et al.
Published: (2025)

Quasar-Convex Optimization: Fundamental Properties and High-Order Proximal-Point Methods
by: Ahookhosh, Masoud, et al.
Published: (2026)

An interior proximal gradient method for nonconvex optimization
by: De Marchi, Alberto, et al.
Published: (2022)

Nonmonotone subgradient methods based on a local descent lemma
by: Aragón-Artacho, Francisco J., et al.
Published: (2025)

Inexact Limited Memory Bundle Method
by: Lampainen, Jenni, et al.
Published: (2026)

Subgradient Regularization: A Descent-Oriented Subgradient Method for Nonsmooth Optimization
by: Li, Hanyang, et al.
Published: (2025)

A new problem qualification based on approximate KKT conditions for Lipschitzian optimization with application to bilevel programming
by: Käming, Isabella, et al.
Published: (2024)

Inexact Riemannian Gradient Descent Method for Nonconvex Optimization
by: Zhou, Juan, et al.
Published: (2024)

Alternating Gradient-Type Algorithm for Bilevel Optimization with Inexact Lower-Level Solutions via Moreau Envelope-based Reformulation
by: Bai, Xiaoning, et al.
Published: (2024)

A distributed Douglas-Rachford splitting method for solving linear constrained multi-block weakly convex problems
by: Hu, Leyu, et al.
Published: (2024)

An Inexact Boosted Difference of Convex Algorithm for Nondifferentiable Functions
by: Ferreira, Orizon P., et al.
Published: (2024)

MGProx: A nonsmooth multigrid proximal gradient method with adaptive restriction for strongly convex optimization
by: Ang, Andersen, et al.
Published: (2023)

A penalty barrier framework for nonconvex constrained optimization
by: De Marchi, Alberto, et al.
Published: (2024)

Local properties and augmented Lagrangians in fully nonconvex composite optimization
by: De Marchi, Alberto, et al.
Published: (2023)

Parameter-Free Accelerated Quasi-Newton Method for Nonconvex Optimization
by: Marumo, Naoki
Published: (2025)

ItsDEAL: Inexact two-level smoothing descent algorithms for weakly convex optimization
by: Kabgani, Alireza, et al.
Published: (2025)

Oracle complexities of augmented Lagrangian methods for nonsmooth manifold optimization
by: Deng, Kangkang, et al.
Published: (2024)

A structured L-BFGS method and its application to inverse problems
by: Mannel, Florian, et al.
Published: (2023)

A structured L-BFGS method with diagonal scaling and its application to image registration
by: Mannel, Florian, et al.
Published: (2024)

Stochastic momentum ADMM for nonconvex and nonsmooth optimization with application to PnP algorithm
by: Deng, Kangkang, et al.
Published: (2025)

An interior-point trust-region method for nonsmooth regularized bound-constrained optimization
by: Leconte, Geoffroy, et al.
Published: (2024)

Minimization Over the Nonconvex Sparsity Constraint Using A Hybrid First-order method
by: Yang, Xiangyu, et al.
Published: (2021)

Resolvent Moreau identities without monotonicity: theory and applications to Gabay duality, Douglas--Rachford and ADMM
by: Calcan, Andrew, et al.
Published: (2026)

A Symplectic Discretization Based Proximal Point Algorithm for Convex Minimization
by: Yuan, Ya-xiang, et al.
Published: (2024)

On existence of solutions to non-convex minimization problems
by: Rele, Rohan, et al.
Published: (2024)

A globalization of L-BFGS and the Barzilai-Borwein method for nonconvex unconstrained optimization
by: Mannel, Florian
Published: (2024)

Proximal methods for structured nonsmooth optimization over Riemannian submanifolds
by: Li, Qia, et al.
Published: (2024)

Universal heavy-ball method for nonconvex optimization under Hölder continuous Hessians
by: Marumo, Naoki, et al.
Published: (2023)

A Projected Variable Smoothing for Weakly Convex Optimization and Supremum Functions
by: López-Rivera, Sergio, et al.
Published: (2025)

A fresh look into variational analysis of $\mathcal C^2$-partly smooth functions
by: Hang, Nguyen T. V., et al.
Published: (2024)

Fast Optimistic Gradient Descent Ascent (OGDA) method in continuous and discrete time
by: Bot, Radu Ioan, et al.
Published: (2022)

Non-Convex Self-Concordant Functions: Practical Algorithms and Complexity Analysis
by: Goldfarb, Donald, et al.
Published: (2025)