Cover Image

On some perturbation properties of nonsmooth optimization on Riemannian manifolds with applications

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhou, Yuexin, Ding, Chao, Zhang, Yangjing
Format:	Preprint
Published:	2023
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

A descent method for nonsmooth multiobjective optimization problems on Riemannian manifolds
by: Tang, Chunming, et al.
Published: (2023)

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

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

Single-loop $\mathcal{O}(ε^{-3})$ stochastic smoothing algorithms for nonsmooth Riemannian optimization
by: Deng, Kangkang, et al.
Published: (2025)

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

On the supporting quasi-hyperplane and separation theorem of geodesic convex sets with applications on Riemannian manifolds
by: Zhou, Li-wen, et al.
Published: (2024)

On the irreducibility and convergence of a class of nonsmooth nonlinear state-space models on manifolds and their applications to zeroth-order optimization
by: Gissler, Armand, et al.
Published: (2024)

A multilevel proximal trust-region method for nonsmooth optimization with applications
by: Baraldi, Robert, 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)

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

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

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

Proximal methods for structured nonsmooth optimization over Riemannian submanifolds
by: Li, Qia, et al.
Published: (2024)

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

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

Second-order geometry and Riemannian Newton's method for optimization on the indefinite Stiefel manifold
by: Sato, Hiroyuki
Published: (2026)

Nonlinear conjugate gradient method for vector optimization on Riemannian manifolds with retraction and vector transport
by: Chen, Kangming, et al.
Published: (2023)

Solving mathematical programs with complementarity constraints arising in nonsmooth optimal control
by: Nurkanović, Armin, et al.
Published: (2023)

Approximate propagation of normal distributions for stochastic optimal control of nonsmooth systems
by: Messerer, Florian, et al.
Published: (2023)

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

Multiple Regression for Matrix and Vector Predictors: Models, Theory, Algorithms, and Beyond
by: Lin, Meixia, et al.
Published: (2024)

Graph-Guided Fused Regularization for Single- and Multi-Task Regression on Spatiotemporal Data
by: Lin, Meixia, et al.
Published: (2026)

Scalable Kernel Quantile Regression: A Preconditioned Augmented Lagrangian Method
by: Deng, Shengxiang, et al.
Published: (2025)

DNNLasso: Scalable Graph Learning for Matrix-Variate Data
by: Lin, Meixia, et al.
Published: (2024)

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

On invex functions with same η in single and multivalued nonsmooth optimization with Clarke's subdifferential
by: Rinne, Ville, et al.
Published: (2025)

Sharpness and well-conditioning of nonsmooth convex formulations in statistical signal recovery
by: Ding, Lijun, et al.
Published: (2023)

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

Irreducibility of nonsmooth state-space models with an application to CMA-ES
by: Gissler, Armand, et al.
Published: (2024)

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

Convergence rates for an inexact linearized ADMM for nonsmooth nonconvex optimization with nonlinear equality constraints
by: Bourkhissi, Lahcen El, et al.
Published: (2025)

An effective subgradient algorithm via Mifflin's line search for nonsmooth nonconvex multiobjective optimization
by: Maleknia, Morteza, et al.
Published: (2024)

A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization
by: Josz, Cedric, et al.
Published: (2018)

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

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

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

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

Acceleration via silver step-size on Riemannian manifolds with applications to Wasserstein space
by: Park, Jiyoung, et al.
Published: (2025)