Cover Image

An Adaptive Proximal ADMM for Nonconvex Linearly Constrained Composite Programs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Maia, Leandro Farias, Gutman, David H., Monteiro, Renato D. C., Silva, Gilson N.
Format:	Preprint
Published:	2024
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

The Randomized Block Coordinate Descent Method in the Hölder Smooth Setting
by: Maia, Leandro Farias, et al.
Published: (2024)

Convergent Proximal Multiblock ADMM for Nonconvex Dynamics-Constrained Optimization
by: Li, Bowen, et al.
Published: (2025)

An Adaptive Proximal Point Method for Nonsmooth and Nonconvex Optimization on Hadamard Manifolds
by: Amaral, Vitaliano S., et al.
Published: (2025)

Heterogeneous Stochastic Momentum ADMM for Distributed Nonconvex Composite Optimization
by: Zhang, Yangming, et al.
Published: (2026)

A Unified Inexact Stochastic ADMM for Composite Nonconvex and Nonsmooth Optimization
by: Zeng, Yuxuan, et al.
Published: (2024)

ALiA: Adaptive Linearized ADMM
by: Jang, Uijeong, et al.
Published: (2026)

An Inexact Weighted Proximal Trust-Region Method
by: Maia, Leandro Farias, et al.
Published: (2026)

A Regularized Hessian-Free Inexact Newton-Type Method with Global $\mathcal{O}(k^{-2})$ Convergence
by: Maia, Leandro Farias, et al.
Published: (2026)

ADMM for Nonconvex Optimization under Minimal Continuity Assumption
by: Yuan, Ganzhao
Published: (2024)

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

Proximal bundle methods for hybrid weakly convex composite optimization problems
by: Liang, Jiaming, et al.
Published: (2023)

Learning to Relax Nonconvex Quadratically Constrained Quadratic Programs
by: Dedeoglu, Muge, et al.
Published: (2025)

Block Decomposable Methods for Large-Scale Optimization Problems
by: Maia, Leandro Farias
Published: (2026)

Non-convex Pose Graph Optimization in SLAM via Proximal Linearized Riemannian ADMM
by: Chen, Xin, et al.
Published: (2024)

A Momentum-based Stochastic Algorithm for Linearly Constrained Nonconvex Optimization
by: Qiu, Chenyang, et al.
Published: (2026)

An Efficient ADMM Method for Ratio-Type Nonconvex and Nonsmooth Minimization in Sparse Recovery
by: Yu, Lang, et al.
Published: (2025)

Proximal Projection Method for Stable Linearly Constrained Optimization
by: Heaton, Howard
Published: (2024)

Affine-coupled Distributed Optimization via Distributed Proximal Jacobian ADMM with Quantized Communication
by: Du, Xu, et al.
Published: (2026)

Smoothed Proximal Lagrangian Method for Nonlinear Constrained Programs
by: Pu, Wenqiang, et al.
Published: (2024)

Local Convergence Analysis of ADMM for Nonconvex Composite Optimization
by: Xie, Xiyuan, et al.
Published: (2026)

Distributed Constrained Online Nonconvex Optimization with Compressed Communication
by: Zhang, Kunpeng, et al.
Published: (2025)

Proximal Operators of Sorted Nonconvex Penalties
by: Gagneux, Anne, et al.
Published: (2025)

Strong Duality in Risk-Constrained Nonconvex Functional Programming
by: Kalogerias, Dionysis, et al.
Published: (2022)

Proximal Gradient Dynamics and Feedback Control for Equality-Constrained Composite Optimization
by: Centorrino, Veronica, et al.
Published: (2025)

HUANet: Hard-Constrained Unrolled ADMM for Constrained Convex Optimization
by: Tran, Trinh, et al.
Published: (2026)

A Unifying Primal-Dual Proximal Framework for Distributed Nonconvex Optimization
by: Ou, Zichong, et al.
Published: (2026)

A Mixing-Accelerated Primal-Dual Proximal Algorithm for Distributed Nonconvex Optimization
by: Ou, Zichong, et al.
Published: (2023)

Ensemble Kalman Inversion for Constrained Nonlinear MPC: An ADMM-Splitting Approach
by: Khalil, Ahmed, et al.
Published: (2025)

An Adaptive Cubic Regularization quasi-Newton Method on Riemannian Manifolds
by: Louzeiro, Mauricio S., et al.
Published: (2024)

AGDA+: Proximal Alternating Gradient Descent Ascent Method with a Nonmonotone Adaptive Step-Size Search for Nonconvex Minimax Problems
by: Zhang, Xuan, et al.
Published: (2024)

Adaptive Extrapolated Proximal Gradient Methods with Variance Reduction for Composite Nonconvex Finite-Sum Minimization
by: Yuan, Ganzhao
Published: (2025)

A Proximal DC Algorithm for Sample Average Approximation of Chance Constrained Programming
by: Wang, Peng, et al.
Published: (2023)

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

ADMM for Nonsmooth Composite Optimization under Orthogonality Constraints
by: Yuan, Ganzhao
Published: (2024)

Semi-infinite Nonconvex Constrained Min-Max Optimization
by: Melcher, Cody, et al.
Published: (2025)

Accelerated ADMM: Automated Parameter Tuning and Improved Linear Convergence
by: Tavakoli, Meisam, et al.
Published: (2025)

Proximal Dogleg Opportunistic Majorization for Nonconvex and Nonsmooth Optimization
by: Zhou, Yiming, et al.
Published: (2024)

Bregman Linearized Augmented Lagrangian Method for Nonconvex Constrained Stochastic Zeroth-order Optimization
by: Shi, Qiankun, et al.
Published: (2025)

Inertial Proximal Difference-of-Convex Algorithm with Convergent Bregman Plug-and-Play for Nonconvex Imaging
by: Chow, Tsz Ching, et al.
Published: (2024)