Image de couverture de livre

Coderivative-Based Newton Methods with Wolfe Linesearch for Nonsmooth Optimization

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chao, Miantao, Mordukhovich, Boris S., Shi, Zijian, Zhang, Jin
Format:	Preprint
Publié:	2024
Sujets:	Optimization and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Coderivative-Based Newton Methods in Structured Nonconvex and Nonsmooth Optimization
par: Khanh, Pham Duy, et autres
Publié: (2024)

Extended SQP Methods in Nonsmooth Difference Programming Applied to Problems with Variational Inequality Constraints
par: Mordukhovich, Boris S., et autres
Publié: (2025)

A New Inexact Gradient Descent Method with Applications to Nonsmooth Convex Optimization
par: Khanh, Pham Duy, et autres
Publié: (2023)

Second-Order Subdifferential Optimality Conditions in Nonsmooth Optimization
par: Khanh, Pham Duy, et autres
Publié: (2023)

Stability Criteria and Calculus Rules via Conic Contingent Coderivatives in Banach Spaces
par: Mordukhovich, Boris S., et autres
Publié: (2024)

Zeroth-order Gradient and Quasi-Newton Methods for Nonsmooth Nonconvex Stochastic Optimization
par: Marrinan, Luke, et autres
Publié: (2023)

A Relative Inexact Proximal Gradient Method with an Explicit Linesearch
par: Bello-Cruz, Yunier, et autres
Publié: (2024)

Newton Method Revisited: Global Convergence Rates up to $\mathcal {O}\left(k^{-3} \right)$ for Stepsize Schedules and Linesearch Procedures
par: Hanzely, Slavomír, et autres
Publié: (2024)

A Proximal Modified Quasi-Newton Method for Nonsmooth Regularized Optimization
par: Diouane, Youssef, et autres
Publié: (2024)

A Newton-Like Dynamical System for Nonsmooth and Nonconvex Optimization
par: Garrido, Juan Guillermo, et autres
Publié: (2024)

Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization
par: Liu, Zijian, et autres
Publié: (2025)

Generalized Metric Subregularity with Applications to High-Order Regularized Newton Methods
par: Li, Guoyin, et autres
Publié: (2024)

Clipped Gradient Methods for Nonsmooth Convex Optimization under Heavy-Tailed Noise: A Refined Analysis
par: Liu, Zijian
Publié: (2025)

Subgradient Gliding Method for Nonsmooth Convex Optimization
par: Zhu, Zhihan, et autres
Publié: (2026)

Convergence of First-Order Algorithms with Momentum from the Perspective of an Inexact Gradient Descent Method
par: Khanh, Pham Duy, et autres
Publié: (2025)

Complete Characterizations of Well-Posedness in Parametric Composite Optimization
par: Mordukhovich, Boris S., et autres
Publié: (2025)

New Location Science Models with Applications to UAV-Based Disaster Relief
par: Kazemdehbashi, Sina, et autres
Publié: (2025)

Convergence Rates for the Alternating Minimization Algorithm in Structured Nonsmooth and Nonconvex Optimization
par: Bento, Glaydston C., et autres
Publié: (2026)

Nonsmooth Newton methods with effective subspaces for polyhedral regularization
par: Nghia, Tran T. A., et autres
Publié: (2025)

Subgame Perfect Methods in Nonsmooth Convex Optimization
par: Grimmer, Benjamin, et autres
Publié: (2025)

The Stochastic Multi-Proximal Method for Nonsmooth Optimization
par: Condat, Laurent, et autres
Publié: (2025)

Stochastic Bregman Subgradient Methods for Nonsmooth Nonconvex Optimization Problems
par: Ding, Kuangyu, et autres
Publié: (2024)

A Hybrid Subgradient Method for Nonsmooth Nonconvex Bilevel Optimization
par: Xiao, Nachuan, et autres
Publié: (2025)

Nonsmooth Nonconvex-Concave Minimax Optimization: Convergence Criteria and Algorithms
par: Shi, Jinyang, et autres
Publié: (2026)

A Single-loop Stochastic Riemannian ADMM for Nonsmooth Optimization
par: Jin, Jiachen, et autres
Publié: (2025)

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

Fixed-Point Delayed Subgradient Methods for Nonsmooth Convex Optimization Problems
par: Pankoon, Ontima, et autres
Publié: (2026)

An Adaptive Proximal Point Method for Nonsmooth and Nonconvex Optimization on Hadamard Manifolds
par: Amaral, Vitaliano S., et autres
Publié: (2025)

Introduction to Nonsmooth Analysis and Optimization
par: Clason, Christian, et autres
Publié: (2020)

Inexact Proximal Point and Tseng Algorithms with Nonsummable Errors to Solve Monotone Inclusions
par: Le, Ba Khiet, et autres
Publié: (2026)

Compact R-Continuity with Applications to Solving Inclusions and Convergence of Algorithms
par: Le, Ba Khiet, et autres
Publié: (2025)

A Smoothing Consensus-Based Optimization Algorithm for Nonsmooth Nonconvex Optimization
par: Wei, Jiazhen, et autres
Publié: (2025)

Nonconvex Nonsmooth Multicomposite Optimization and Its Applications to Recurrent Neural Networks
par: Jin, Lingzi, et autres
Publié: (2025)

Adaptive Riemannian ADMM for Nonsmooth Optimization: Optimal Complexity without Smoothing
par: Deng, Kangkang, et autres
Publié: (2025)

Developing Lagrangian-based Methods for Nonsmooth Nonconvex Optimization
par: Xiao, Nachuan, et autres
Publié: (2024)

Adam-family Methods for Nonsmooth Optimization with Convergence Guarantees
par: Xiao, Nachuan, et autres
Publié: (2023)

An Inexact Modified Quasi-Newton Method for Nonsmooth Regularized Optimization
par: Allaire, Nathan, et autres
Publié: (2025)

NonOpt: Nonconvex, Nonsmooth Optimizer
par: Curtis, Frank E., et autres
Publié: (2025)

Nash Equilibrium and Minimax Theorems via Variational Tools of Convex Analysis
par: Bao, Nguyen Xuan Duy, et autres
Publié: (2024)

Improved Dynamic Regret of Distributed Online Multiple Frank-Wolfe Convex Optimization
par: Zhang, Wentao, et autres
Publié: (2023)