Cover Image

On the diameter of subgradient sequences in o-minimal structures

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lai, Lexiao, Song, Mingzhi
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control Dynamical Systems 65K10
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Convergence of difference inclusions via a diameter criterion
by: Lai, Lexiao, et al.
Published: (2026)

On convergence rates of subgradient descent on semialgebraic functions
by: Chzhen, Evgenii, et al.
Published: (2026)

New solutions for the symmetrical n-body problem through variational approach and optimisation techniques
by: Ciccarelli, Roberto, et al.
Published: (2025)

Strong convergence towards the minimum norm solution via temporal scaling and Tikhonov approximation of a first-order dynamical system
by: Bagy, A. C., et al.
Published: (2024)

Continuous Newton-like Methods featuring Inertia and Variable Mass
by: Castera, Camille, et al.
Published: (2023)

Preconditioned subgradient method for composite optimization: overparameterization and fast convergence
by: Díaz, Mateo, et al.
Published: (2025)

A Monte Carlo Approach for Nonsmooth Convex Optimization via Proximal Splitting Algorithms
by: Di, Nicholas, et al.
Published: (2025)

How to project onto SL($n$)
by: Jaap, Patrick, et al.
Published: (2025)

Introduction: Swarm-based gradient descent for non convex optimization
by: Tikko, Janina
Published: (2024)

Operator Splitting with Hamilton-Jacobi-based Proximals
by: Di, Nicholas, et al.
Published: (2026)

On the local and global minimizers of the smooth stress function in Euclidean Distance Matrix problems
by: Song, Mengmeng, et al.
Published: (2024)

On finding optimal collective variables for complex systems by minimizing the deviation between effective and full dynamics
by: Zhang, Wei, et al.
Published: (2024)

Riemannian Newton methods for energy minimization problems of Kohn-Sham type
by: Altmann, R., et al.
Published: (2023)

Adaptive Momentum via Minimal Dual Function for Accelerating Randomized Sparse Kaczmarz
by: Zhang, Lu, et al.
Published: (2026)

Asymptotic behaviour of coupled random dynamical systems with multiscale aspects
by: Luke, D. Russell, et al.
Published: (2026)

BDF schemes for accelerated gradient flows in projection-free approximation of nonconvex constrained variational minimization
by: Dong, Guozhi, et al.
Published: (2024)

Algebraic solutions of tropical optimization problems
by: Krivulin, N.
Published: (2014)

A unified approach to shape and topological sensitivity analysis of discretized optimal design problems
by: Gangl, Peter, et al.
Published: (2022)

Technical results on the convergence of quasi-Newton methods for nonsmooth optimization
by: Gebken, Bennet
Published: (2025)

On the role of semismoothness in nonsmooth numerical analysis: Theory
by: Gfrerer, H., et al.
Published: (2024)

On the role of semismoothness in the implicit programming approach to selected nonsmooth optimization problems
by: Gfrerer, Helmut, et al.
Published: (2024)

A new Lagrangian approach to control affine systems with a quadratic Lagrange term
by: Leyendecker, Sigrid, et al.
Published: (2023)

Implicit augmented Lagrangian and generalized optimization
by: De Marchi, Alberto
Published: (2023)

A proximal subgradient algorithm with extrapolation for structured nonconvex nonsmooth problems
by: Pham, Tan Nhat, et al.
Published: (2022)

Entropic Semi-Martingale Optimal Transport
by: Benamou, Jean-David, et al.
Published: (2024)

Deep Uzawa for PDE constrained optimisation
by: Makridakis, Charalambos G., et al.
Published: (2024)

Identifiability, the KL property in metric spaces, and subgradient curves
by: Lewis, Adrian, et al.
Published: (2022)

Boosting Data-Driven Mirror Descent with Randomization, Equivariance, and Acceleration
by: Tan, Hong Ye, et al.
Published: (2023)

Convergence of Descent Optimization Algorithms under Polyak-Łojasiewicz-Kurdyka Conditions
by: Bento, G. C., et al.
Published: (2024)

Strong convergence and fast rates for systems with Tikhonov regularization
by: Csetnek, Ernö Robert, et al.
Published: (2024)

A line search filter sequential adaptive cubic regularisation algorithm for nonlinearly constrained optimization
by: Pei, Yonggang, et al.
Published: (2024)

On existence of solutions to non-convex minimization problems
by: Rele, Rohan, et al.
Published: (2024)

Guaranteed lower bounds for cost functionals of time-periodic parabolic optimization problems
by: Wolfmayr, Monika
Published: (2019)

Cubic Regularized Newton Method with Variance Reduction for Finite-sum Non-convex Problems
by: Pasechnyuk-Vilensky, Dmitry, et al.
Published: (2025)

Decentralised convex optimisation with probability-proportional-to-size quantization
by: Pasechniuk, Dmitrii, et al.
Published: (2025)

Lossless Convexification for Linear Systems with Piecewise Linear Controls
by: Kiami, Shosuke
Published: (2024)

Heterogeneous-Horizon Exact-Weight Local SGD
by: Pasechnyuk-Vilensky, Dmitry, et al.
Published: (2026)

The Performance of MBFGS with Different Inexact Line Search Rule
by: Sahu, Manish Kumar, et al.
Published: (2022)

The Double Regularization Method for Capacity Constrained Optimal Transport
by: Wu, Tianhao, et al.
Published: (2022)

Nonlinear conjugate gradient for smooth convex functions
by: Karimi, Sahar, et al.
Published: (2021)