Copertina

A multilevel proximal trust-region method for nonsmooth optimization with applications

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Baraldi, Robert, Hintermüller, Michael, Wang, Qi
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Optimization and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Projected proximal gradient trust-region algorithm for nonsmooth optimization
di: Dao, Minh N., et al.
Pubblicazione: (2025)

TRFD: A derivative-free trust-region method based on finite differences for composite nonsmooth optimization
di: Davar, Dânâ, et al.
Pubblicazione: (2024)

Enclosing minima in nonsmooth optimization via trust regions of higher-order cutting-plane models
di: Gebken, Bennet, et al.
Pubblicazione: (2026)

Hypodifferentials of nonsmooth convex functions and their applications to nonsmooth convex optimization
di: Dolgopolik, M. V.
Pubblicazione: (2023)

A VMiPG method for composite optimization with nonsmooth term having no closed-form proximal mapping
di: Zhang, Taiwei, et al.
Pubblicazione: (2023)

A hybrid physics-informed neural network based multiscale solver as a partial differential equation constrained optimization problem
di: Hintermüller, Michael, et al.
Pubblicazione: (2023)

An adaptive proximal safeguarded augmented Lagrangian method for nonsmooth DC problems with convex constraints
di: Kanzow, Christian, et al.
Pubblicazione: (2025)

Complexity of trust-region methods with unbounded Hessian approximations for smooth and nonsmooth optimization
di: Leconte, Geoffroy, et al.
Pubblicazione: (2023)

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

On some perturbation properties of nonsmooth optimization on Riemannian manifolds with applications
di: Zhou, Yuexin, et al.
Pubblicazione: (2023)

Layerwise goal-oriented adaptivity for neural ODEs: an optimal control perspective
di: Hintermüller, Michael, et al.
Pubblicazione: (2026)

An implementable proximal-type method for computing critical points to minimization problems with a nonsmooth and nonconvex constraint
di: Sempere, Gregorio M., et al.
Pubblicazione: (2024)

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

Stochastic halfspace approximation method for convex optimization with nonsmooth functional constraints
di: Singh, Nitesh Kumar, et al.
Pubblicazione: (2024)

A variable smoothing for Nonconvexly constrained nonsmooth optimization with application to sparse spectral clustering
di: Kume, Keita, et al.
Pubblicazione: (2023)

A consistently adaptive trust-region method
di: Hamad, Fadi, et al.
Pubblicazione: (2024)

A restricted memory quasi-Newton bundle method for nonsmooth optimization on Riemannian manifolds
di: Tang, Chunming, et al.
Pubblicazione: (2024)

Extended alternating structure-adapted proximal gradient algorithm for nonconvex nonsmooth problems
di: Gao, Ying, et al.
Pubblicazione: (2024)

An accelerated proximal bundle method for convex optimization
di: Liao, Feng-Yi, et al.
Pubblicazione: (2025)

Variable Bregman Majorization-Minimization algorithms for nonconvex nonsmooth optimization, with application to Poisson imaging
di: Adly, Maxence, et al.
Pubblicazione: (2026)

On the robust isolated calmness of a class of nonsmooth optimizations on Riemannian manifolds and its applications
di: Bao, Chenglong, et al.
Pubblicazione: (2022)

A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme
di: Wei, Jiazhen, et al.
Pubblicazione: (2025)

Monotone and nonmonotone linearized block coordinate descent methods for nonsmooth composite optimization problems
di: Nabou, Yassine, et al.
Pubblicazione: (2025)

A simple and practical adaptive trust-region method
di: Hamad, Fadi, et al.
Pubblicazione: (2024)

Stochastic ADMM with batch size adaptation for nonconvex nonsmooth optimization
di: Jin, Jiachen, et al.
Pubblicazione: (2025)

MTRBO: Multiple trust-region based Bayesian optimization
di: Das, Sourav, et al.
Pubblicazione: (2026)

A projection-free dynamics for nonsmooth composite optimization
di: Ni, Wei, et al.
Pubblicazione: (2025)

An equivalent reformulation and multi-proximity gradient algorithms for a class of nonsmooth fractional programming
di: Zhou, Junpeng, et al.
Pubblicazione: (2023)

Superlinear convergence in nonsmooth optimization via higher-order cutting-plane models
di: Gebken, Bennet, et al.
Pubblicazione: (2026)

Second-order methods for provably escaping strict saddle points in composite nonconvex and nonsmooth optimization
di: Bodard, Alexander, et al.
Pubblicazione: (2025)

Data-driven methods for quantitative imaging
di: Dong, Guozhi, et al.
Pubblicazione: (2024)

Relations between nonsmooth vector variational inequalities and nonsmooth vector optimization problems on Hadamard manifold in terms of bifunction
di: Singh, Nagendra, et al.
Pubblicazione: (2024)

Integral control of the proximal gradient method for unbiased sparse optimization
di: Cerone, V., et al.
Pubblicazione: (2025)

SMOP: Stochastic trust region method for multi-objective problems
di: Krejić, Nataša, et al.
Pubblicazione: (2025)

Complexity of trust-region methods in the presence of unbounded Hessian approximations
di: Diouane, Youssef, et al.
Pubblicazione: (2024)

Minimal and maximal solution maps of elliptic QVIs of obstacle type: Lipschitz stability, differentiability and optimal control
di: Alphonse, Amal, et al.
Pubblicazione: (2023)

Risk-averse optimal control of random elliptic variational inequalities
di: Alphonse, Amal, et al.
Pubblicazione: (2022)

A primal-dual interior point trust region method for second-order stationary points of Riemannian inequality-constrained optimization problems
di: Obara, Mitsuaki, et al.
Pubblicazione: (2025)

An inexact variable metric proximal linearization method for composite optimization on manifolds
di: He, Hao, et al.
Pubblicazione: (2025)

Efficiency of stochastic coordinate proximal gradient methods on nonseparable composite optimization
di: Necoara, I., et al.
Pubblicazione: (2021)