Cover Image

Strong convergence towards the minimum norm solution via temporal scaling and Tikhonov approximation of a first-order dynamical system

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bagy, A. C., Chbani, Z., Riahi, H.
Format:	Preprint
Published:	2024
Subjects:	Optimization and Control Dynamical Systems 65K15, 65K15, 90C30
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stochastic optimization over proximally smooth sets
by: Davis, Damek, et al.
Published: (2020)

Strong Convergence of Relaxed Inertial Inexact Progressive Hedging Algorithm for Multi-stage Stochastic Variational Inequality Problems
by: Chen, Jiaxin, et al.
Published: (2024)

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

ASPEN: An Additional Sampling Penalty Method for Finite-Sum Optimization Problems with Nonlinear Equality Constraints
by: Krejić, Nataša, et al.
Published: (2025)

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

Broyden quasi-Newton secant-type method for solving constrained mixed generalized equations
by: Junior, P. C. da Silva, et al.
Published: (2025)

Curves of Minimax Curvature
by: Kaya, C. Yalçın, et al.
Published: (2024)

Mathematical programs with complementarity constraints and application to hyperparameter tuning for nonlinear support vector machines
by: Ward, Samuel, et al.
Published: (2025)

Stochastic Approach for Price Optimization Problems with Decision-dependent Uncertainty
by: Hikima, Yuya, et al.
Published: (2023)

An investigation of stochastic trust-region based algorithms for finite-sum minimization
by: Bellavia, Stefania, et al.
Published: (2024)

Inexact Restoration via random models for unconstrained noisy optimization
by: Morini, Benedetta, et al.
Published: (2024)

Tikhonov regularization of monotone operator flows not only ensures strong convergence of the trajectories but also speeds up the vanishing of the residuals
by: Bot, Radu Ioan, et al.
Published: (2024)

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)

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

Variance-reduced first-order methods for deterministically constrained stochastic nonconvex optimization with strong convergence guarantees
by: Lu, Zhaosong, et al.
Published: (2024)

A Two Stepsize SQP Method for Nonlinear Equality Constrained Stochastic Optimization
by: O'Neill, Michael J.
Published: (2024)

Complexity of an inexact stochastic SQP algorithm for equality constrained optimization
by: O'Neill, Michael J., et al.
Published: (2026)

An inertial proximal splitting algorithm for hierarchical bilevel equilibria in Hilbert spaces
by: Balhag, Aicha, et al.
Published: (2025)

Curves of Minimax Spirality
by: Kaya, C. Yalçın, et al.
Published: (2024)

Bivariate rational approximations of the general temperature integral
by: Aghili, Alireza, et al.
Published: (2024)

Nonsmooth Projection-Free Optimization with Functional Constraints
by: Asgari, Kamiar, et al.
Published: (2023)

Gradient descent with adaptive stepsize converges (nearly) linearly under fourth-order growth
by: Davis, Damek, et al.
Published: (2024)

Low-rank optimization on Tucker tensor varieties
by: Gao, Bin, et al.
Published: (2023)

Optimization on product manifolds under a preconditioned metric
by: Gao, Bin, et al.
Published: (2023)

A Sequential Quadratic Programming Method for Optimization with Stochastic Objective Functions, Deterministic Inequality Constraints and Robust Subproblems
by: Qiu, Songqiang, et al.
Published: (2023)

A smoothing proximal gradient algorithm for matrix rank minimization problem
by: Yu, Quan, et al.
Published: (2021)

Symplectic Extra-gradient Type Method for Solving General Non-monotone Inclusion Problem
by: Yuan, Ya-xiang, et al.
Published: (2024)

Fast Optimistic Gradient Descent Ascent (OGDA) method in continuous and discrete time
by: Bot, Radu Ioan, et al.
Published: (2022)

Shadow splitting methods for nonconvex optimisation: epi-approximation, convergence and saddle point avoidance
by: Atenas, Felipe
Published: (2025)

A Sequential Homotopy Method for Mathematical Programming Problems
by: Potschka, Andreas, et al.
Published: (2019)

Relaxed and inertial nonlinear Forward-Backward algorithm
by: Maulén, Juan José, et al.
Published: (2025)

A Three-Operator Splitting Scheme Derived from Three-Block ADMM
by: Anshika, Anshika, et al.
Published: (2024)

Relaxed and Inertial Nonlinear Forward-Backward with Momentum
by: Roldán, Fernando, et al.
Published: (2024)

Forward Primal-Dual Half-Forward Algorithm for Splitting Four Operators
by: Roldán, Fernando
Published: (2023)

Non-Convex Self-Concordant Functions: Practical Algorithms and Complexity Analysis
by: Goldfarb, Donald, et al.
Published: (2025)

Distributed Gradient-Regularized Newton Method: Scheduled Consensus and O(epsilon^{-1}) Global Iteration Complexity
by: Hu, Wei, et al.
Published: (2026)

A General Recipe for Parameter-Free Nonconvex Optimization via Higher-Order Regularization
by: Marumo, Naoki, et al.
Published: (2026)

ProxSTORM -- A Stochastic Trust-Region Algorithm for Nonsmooth Optimization
by: Baraldi, Robert J., et al.
Published: (2025)

On circumcentered direct methods for monotone variational inequality problems
by: Behling, Roger, et al.
Published: (2025)