On the convergence of an inertial proximal algorithm with a Tikhonov regularization term
Fuente:
arXiv
Saved in:
| Main Author: | László, Szilárd Csaba |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Solving convex optimization problems via a second order dynamical system with implicit Hessian damping and Tikhonov regularization
by: László, Szilárd Csaba
Published: (2024)
by: László, Szilárd Csaba
Published: (2024)
A proximal-gradient inertial algorithm with Tikhonov regularization: strong convergence to the minimal norm solution
by: László, Szilárd Csaba
Published: (2024)
by: László, Szilárd Csaba
Published: (2024)
Inertial dynamics with vanishing Tikhonov regularization for multiobjective optimization
by: Bot, Radu Ioan, et al.
Published: (2024)
by: Bot, Radu Ioan, 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)
by: Bot, Radu Ioan, et al.
Published: (2024)
Active set identification and rapid convergence for degenerate primal-dual problems
by: Díaz, Mateo, et al.
Published: (2026)
by: Díaz, Mateo, et al.
Published: (2026)
A robust regularized extreme learning machine for regression problems based on self-adaptive accelerated extra-gradient algorithm
by: Adegoke, Muideen, et al.
Published: (2024)
by: Adegoke, Muideen, et al.
Published: (2024)
Symplectic Discretization Approach for Developing New Proximal Point Algorithm
by: Yuan, Ya-xiang, et al.
Published: (2023)
by: Yuan, Ya-xiang, et al.
Published: (2023)
Entropic Mirror Descent for Linear Systems: Polyak's Stepsize and Implicit Bias
by: Malitsky, Yura, et al.
Published: (2025)
by: Malitsky, Yura, et al.
Published: (2025)
On the Convergence of HalpernSGD
by: Colao, Vittorio, et al.
Published: (2026)
by: Colao, Vittorio, et al.
Published: (2026)
On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms
by: Latafat, Puya, et al.
Published: (2023)
by: Latafat, Puya, et al.
Published: (2023)
Relaxed Weak Accelerated Proximal Gradient Method: a Unified Framework for Nesterov's Accelerations
by: Li, Hongda, et al.
Published: (2025)
by: Li, Hongda, et al.
Published: (2025)
Symplectic Extra-gradient Type Method for Solving General Non-monotone Inclusion Problem
by: Yuan, Ya-xiang, et al.
Published: (2024)
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)
by: Bot, Radu Ioan, et al.
Published: (2022)
Complexity-optimal and parameter-free first-order methods for finding stationary points of composite optimization problems
by: Kong, Weiwei
Published: (2022)
by: Kong, Weiwei
Published: (2022)
New operator designs for Halpern iterations with explicit rates under Hölder error bounds
by: Barros, Pablo, et al.
Published: (2026)
by: Barros, Pablo, et al.
Published: (2026)
Three-Operator Splitting Method with Two-Step Inertial Extrapolation
by: Iyiola, Olaniyi S., et al.
Published: (2024)
by: Iyiola, Olaniyi S., et al.
Published: (2024)
Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient
by: Latafat, Puya, et al.
Published: (2023)
by: Latafat, Puya, et al.
Published: (2023)
Adaptive proximal gradient methods are universal without approximation
by: Oikonomidis, Konstantinos A., et al.
Published: (2024)
by: Oikonomidis, Konstantinos A., et al.
Published: (2024)
Stochastic Krasnoselskii-Mann Iterations: Convergence without Uniformly Bounded Variance
by: Cortild, Daniel, et al.
Published: (2026)
by: Cortild, Daniel, et al.
Published: (2026)
Adaptive Inertial Method
by: Long, Han, et al.
Published: (2025)
by: Long, Han, et al.
Published: (2025)
Efficient parameter-free restarted accelerated gradient methods for convex and strongly convex optimization
by: Sujanani, Arnesh, et al.
Published: (2024)
by: Sujanani, Arnesh, et al.
Published: (2024)
Nonsmooth Projection-Free Optimization with Functional Constraints
by: Asgari, Kamiar, et al.
Published: (2023)
by: Asgari, Kamiar, et al.
Published: (2023)
Strong Convergence of FISTA for Affinely Constrained Convex Quadratic Minimization
by: Bartz, Sedi, et al.
Published: (2026)
by: Bartz, Sedi, et al.
Published: (2026)
cuHALLaR: A GPU Accelerated Low-Rank Augmented Lagrangian Method for Large-Scale Semidefinite Programming
by: Aguirre, Jacob M., et al.
Published: (2025)
by: Aguirre, Jacob M., et al.
Published: (2025)
A Busemann hybrid projection-proximal point algorithm for optimization problems on Hadamard manifolds
by: Millán, R. Díaz, et al.
Published: (2026)
by: Millán, R. Díaz, et al.
Published: (2026)
Preconditioned primal-dual dynamics in convex optimization: non-ergodic convergence rates
by: Apidopoulos, Vassilis, et al.
Published: (2025)
by: Apidopoulos, Vassilis, et al.
Published: (2025)
Identification of Active Subfunctions in Finite-Max Minimisation via a Smooth Reformulation
by: Ras, Charl, et al.
Published: (2024)
by: Ras, Charl, et al.
Published: (2024)
Heavy Ball Momentum for Non-Strongly Convex Optimization
by: Aujol, Jean-François, et al.
Published: (2024)
by: Aujol, Jean-François, et al.
Published: (2024)
Extra-Gradient Method with Flexible Anchoring: Strong Convergence and Fast Residual Decay
by: Boţ, Radu Ioan, et al.
Published: (2024)
by: Boţ, Radu Ioan, et al.
Published: (2024)
Splitting the Conditional Gradient Algorithm
by: Woodstock, Zev, et al.
Published: (2023)
by: Woodstock, Zev, et al.
Published: (2023)
Krasnoselskii-Mann Iterations: Inertia, Perturbations and Approximation
by: Cortild, Daniel, et al.
Published: (2024)
by: Cortild, Daniel, et al.
Published: (2024)
On the convergence of proximal gradient methods for convex simple bilevel optimization
by: Latafat, Puya, et al.
Published: (2023)
by: Latafat, Puya, et al.
Published: (2023)
The Chambolle-Pock method also converges weakly with $0 < θ\le 1$ and $τσ\|L\|^{2} < 4θ(2-θ)/(1 - 2θ+ 9θ^{2} - 4θ^{3})$
by: Upadhyaya, Manu
Published: (2026)
by: Upadhyaya, Manu
Published: (2026)
A Random Active Set Method for Strictly Convex Quadratic Problem with Simple Bounds
by: Gu, Ran, et al.
Published: (2021)
by: Gu, Ran, et al.
Published: (2021)
Optimization in Theory and Practice
by: Wright, Stephen J.
Published: (2025)
by: Wright, Stephen J.
Published: (2025)
Preconditioned Proximal Gradient Methods with Conjugate Momentum: A Subspace Perspective
by: Chen, Jian, et al.
Published: (2026)
by: Chen, Jian, et al.
Published: (2026)
Extragradient method with feasible inexact projection to variational inequality problem
by: Millán, R. Díaz, et al.
Published: (2023)
by: Millán, R. Díaz, et al.
Published: (2023)
A low-rank augmented Lagrangian method for large-scale semidefinite programming based on a hybrid convex-nonconvex approach
by: Monteiro, Renato D. C., et al.
Published: (2024)
by: Monteiro, Renato D. C., et al.
Published: (2024)
Forward-backward algorithms devised by graphs
by: Aragón-Artacho, Francisco J., et al.
Published: (2024)
by: Aragón-Artacho, Francisco J., et al.
Published: (2024)
Splitting Algorithms for Distributionally Robust Optimization
by: Briceño-Arias, Luis, et al.
Published: (2024)
by: Briceño-Arias, Luis, et al.
Published: (2024)
Similar Items
-
Solving convex optimization problems via a second order dynamical system with implicit Hessian damping and Tikhonov regularization
by: László, Szilárd Csaba
Published: (2024) -
A proximal-gradient inertial algorithm with Tikhonov regularization: strong convergence to the minimal norm solution
by: László, Szilárd Csaba
Published: (2024) -
Inertial dynamics with vanishing Tikhonov regularization for multiobjective optimization
by: Bot, Radu Ioan, 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) -
Active set identification and rapid convergence for degenerate primal-dual problems
by: Díaz, Mateo, et al.
Published: (2026)