Copertina

Smoothed Proximal Lagrangian Method for Nonlinear Constrained Programs

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Pu, Wenqiang, Sun, Kaizhao, Zhang, Jiawei
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Optimization and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Decomposition Methods for Global Solutions of Mixed-Integer Linear Programs
di: Sun, Kaizhao, et al.
Pubblicazione: (2021)

Beyond Convexity: Proximal-Perturbed Lagrangian Methods for Efficient Functional Constrained Optimization
di: Moon, Sang Bin, et al.
Pubblicazione: (2024)

A Customized Augmented Lagrangian Method for Block-Structured Integer Programming
di: Wang, Rui, et al.
Pubblicazione: (2024)

Quantum Hamiltonian Descent based Augmented Lagrangian Method for Constrained Nonconvex Nonlinear Optimization
di: Li, Mingze, et al.
Pubblicazione: (2025)

ripALM: A Relative-Type Inexact Proximal Augmented Lagrangian Method for Linearly Constrained Convex Optimization
di: Zhu, Jiayi, et al.
Pubblicazione: (2024)

Parallel and Proximal Constrained Linear-Quadratic Methods for Real-Time Nonlinear MPC
di: Jallet, Wilson, et al.
Pubblicazione: (2024)

Q-Linear Convergence of the Proximal Augmented Lagrangian Method for Non-Convex Conic Programming
di: Zhang, Ning, et al.
Pubblicazione: (2025)

A Proximal Method for Composite Optimization with Smooth and Convex Components
di: Uzun, Samet, et al.
Pubblicazione: (2025)

Revisiting Stochastic Proximal Point Methods: Generalized Smoothness and Similarity
di: Tovmasyan, Zhirayr, et al.
Pubblicazione: (2025)

Global Convergence Analysis of the Power Proximal Point and Augmented Lagrangian Method
di: Oikonomidis, Konstantinos A., et al.
Pubblicazione: (2023)

Proximal Projection Method for Stable Linearly Constrained Optimization
di: Heaton, Howard
Pubblicazione: (2024)

An Adaptive Proximal ADMM for Nonconvex Linearly Constrained Composite Programs
di: Maia, Leandro Farias, et al.
Pubblicazione: (2024)

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

Constrained Bi-Level Optimization: Proximal Lagrangian Value function Approach and Hessian-free Algorithm
di: Yao, Wei, et al.
Pubblicazione: (2024)

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

Nonlinearly Preconditioned Gradient Methods under Generalized Smoothness
di: Oikonomidis, Konstantinos, et al.
Pubblicazione: (2025)

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

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

Prox-PEP: A Proximal Partial Exact Penalty Algorithm for Weakly Convex Stochastic Nonlinear Programming
di: Tang, Lixin, et al.
Pubblicazione: (2026)

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

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

All roads lead to Rome: Path-following Augmented Lagrangian Methods via Bregman Proximal Regularization
di: Laude, Emanuel
Pubblicazione: (2026)

An Augmented Lagrangian Method on GPU for Security-Constrained AC Optimal Power Flow
di: Pacaud, François, et al.
Pubblicazione: (2025)

Proximal Flow Inspired Multi-Step Methods
di: Huang, Yushen, et al.
Pubblicazione: (2025)

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

A Unified Theory of Stochastic Proximal Point Methods without Smoothness
di: Richtárik, Peter, et al.
Pubblicazione: (2024)

Learning Constrained Optimization with Deep Augmented Lagrangian Methods
di: Kotary, James, et al.
Pubblicazione: (2024)

A Proximal Augmented Lagrangian Method Based on Quadratic Approximations for Weakly Convex Optimization
di: Zhang, Yule, et al.
Pubblicazione: (2026)

D-ripALM: A Tuning-friendly Decentralized Relative-Type Inexact Proximal Augmented Lagrangian Method
di: Zhu, Jiayi, et al.
Pubblicazione: (2026)

A Mini-Batch Quasi-Newton Proximal Method for Constrained Total-Variation Nonlinear Image Reconstruction
di: Hong, Tao, et al.
Pubblicazione: (2023)

Damped Proximal Augmented Lagrangian Method for weakly-Convex Problems with Convex Constraints
di: Dahal, Hari, et al.
Pubblicazione: (2023)

A Finite-Difference Trust-Region Method for Convexly Constrained Smooth Optimization
di: Davar, Dânâ, et al.
Pubblicazione: (2025)

An Augmented Lagrangian Value Function Method for Lower-level Constrained Stochastic Bilevel Optimization
di: Nie, Hantao, et al.
Pubblicazione: (2025)

Convergence Analysis of a Relative-type Inexact Preconditioned Proximal ALM for Convex Nonlinear Programming
di: Yang, Lei, et al.
Pubblicazione: (2025)

On the Closed-Form Solution for Robust Adaptive Beamforming
di: Zhao, Licheng, et al.
Pubblicazione: (2026)

An Efficient and Globally Optimal Algorithm for Nonconvex QCQP with One Equality Constraint
di: Zhao, Licheng, et al.
Pubblicazione: (2025)

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

An Efficient Smoothing Damped Newton Method for Large-Scale Mathematical Programs with Equilibrium Constraints
di: Wang, Yixin, et al.
Pubblicazione: (2025)

ALiA: Adaptive Linearized ADMM
di: Jang, Uijeong, et al.
Pubblicazione: (2026)

Inexact Augmented Lagrangian Methods for Conic Programs: Quadratic Growth and Linear Convergence
di: Liao, Feng-Yi, et al.
Pubblicazione: (2024)