Cover Image

Alternating Direction Method of Multipliers for nonlinear constrained convex problems and applications to distributed resource allocation and constrained machine learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xiong, Zhengjie, Xu, Yangyang
Format:	Preprint
Published:	2026
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Online convex optimization for constrained control of nonlinear systems
by: Nonhoff, Marko, et al.
Published: (2024)

Parallelizable Riemannian Alternating Direction Method of Multipliers for Non-convex Pose Graph Optimization
by: Chen, Xin, et al.
Published: (2026)

Continuous and discrete-time accelerated methods for an inequality constrained convex optimization problem
by: Liu, Juan, et al.
Published: (2024)

Online Alternating Direction Method of Multipliers for Online Composite Optimization
by: Zhang, Yule, et al.
Published: (2019)

An Alternating Direction Method of Multipliers for Topology Optimization
by: Choudhary, Harsh, et al.
Published: (2025)

Accelerated Alternating Direction Method of Multipliers Gradient Tracking for Distributed Optimization
by: Sebastián, Eduardo, et al.
Published: (2024)

On the risk levels of distributionally robust chance constrained problems
by: Heinlein, Moritz, et al.
Published: (2024)

A smoothing moving balls approximation method for a class of conic-constrained difference-of-convex optimization problems
by: Xu, Jiefeng, et al.
Published: (2025)

Quantum Alternating Direction Method of Multipliers for Semidefinite Programming
by: Nie, Hantao, et al.
Published: (2025)

New Lagrangian dual algorithms for solving the continuous nonlinear resource allocation problem
by: Hu, Kaixiang, et al.
Published: (2024)

Dynamic Optimal Power Flow in Microgrids using the Alternating Direction Method of Multipliers
by: Scott, Paul, et al.
Published: (2014)

Decision Making under Cumulative Prospect Theory: An Alternating Direction Method of Multipliers
by: Cui, Xiangyu, et al.
Published: (2022)

An Alternating Direction Method of Multipliers for Utility-based Shortfall Risk Portfolio Optimization
by: Xiao, Rufeng, et al.
Published: (2025)

Online convex optimization for robust control of constrained dynamical systems
by: Nonhoff, Marko, et al.
Published: (2024)

Globalized distributionally robust chance-constrained support vector machine based on core sets
by: Li, Yueyao, et al.
Published: (2025)

A derivative-free regularization algorithm for equality constrained nonlinear least squares problems
by: Chen, Xi, et al.
Published: (2025)

Local Second-Order Limit Dynamics of the Alternating Direction Method of Multipliers for Semidefinite Programming
by: Kang, Shucheng, et al.
Published: (2026)

An Inexact Alternating Direction Method of Multipliers for Constrained Parabolic Optimal Distributed Control Problems
by: Song, Haiming, et al.
Published: (2026)

An Accelerated Proximal Alternating Direction Method of Multipliers for Optimal Decentralized Control of Uncertain Systems
by: Yang, Bo, et al.
Published: (2023)

An improved input-constrained funnel controller for nonlinear systems
by: Berger, Thomas
Published: (2025)

A parallel pull labelling algorithm for the resource constrained shortest path problem
by: Petersen, Bjørn, et al.
Published: (2025)

Alternating Direction Method of Multipliers for Nonlinear Matrix Decompositions
by: Awari, Atharva, et al.
Published: (2025)

Tight SDP relaxations for cardinality-constrained problems
by: Wiegele, Angelika, et al.
Published: (2021)

Mirror descent for constrained stochastic control problems
by: Sethi, Deven, et al.
Published: (2025)

Local Linear Convergence of the Alternating Direction Method of Multipliers for Semidefinite Programming under Strict Complementarity
by: Kang, Shucheng, et al.
Published: (2025)

Learning based convex approximation for constrained parametric optimization
by: Liu, Kang, et al.
Published: (2025)

A stochastic perturbed augmented Lagrangian method for smooth convex constrained minimization
by: Singh, Nitesh Kumar, et al.
Published: (2025)

A stochastic moving ball approximation method for smooth convex constrained minimization
by: Singh, Nitesh Kumar, et al.
Published: (2024)

Modified projected Gauss-Newton method for constrained nonlinear least-squares: application to power flow analysis
by: Nabou, Yassine, et al.
Published: (2025)

Existence of optimal pairs for optimal control problems with states constrained to Riemannian manifolds
by: Deng, Li, et al.
Published: (2024)

Calm local optimality for couple-constrained minimax problems
by: Ma, Xiaoxiao, et al.
Published: (2025)

Online convex optimization for constrained control of linear systems using a reference governor
by: Nonhoff, Marko, et al.
Published: (2022)

Distributed online constrained convex optimization with event-triggered communication
by: Zhang, Kunpeng, et al.
Published: (2023)

Stochastic smoothing accelerated gradient method for general constrained nonsmooth convex composite optimization
by: Wang, Ruyu, et al.
Published: (2023)

A matrix-free interior point continuous trajectory for linearly constrained convex programming
by: Qian, Xun, et al.
Published: (2024)

A New Fast Adaptive Linearized Alternating Direction Multiplier Method for Convex Optimization
by: Wang, Boran
Published: (2024)

Accelerated projected gradient algorithms for sparsity constrained optimization problems
by: Alcantara, Jan Harold, et al.
Published: (2022)

Alignment of large language models with constrained learning
by: Zhang, Botong, et al.
Published: (2025)

A distributed augmented Lagrangian decomposition algorithm for constrained optimization
by: Guo, Wenyou, et al.
Published: (2025)

Anderson acceleration of derivative-free projection methods for constrained monotone nonlinear equations
by: Jin, Jiachen, et al.
Published: (2024)