Solving nonconvex optimization problems via a second order dynamical system with unbounded damping
Fuente:
arXiv
Saved in:
| Main Author: | László, Szilárd Csaba |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| 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 globalization of L-BFGS and the Barzilai-Borwein method for nonconvex unconstrained optimization
by: Mannel, Florian
Published: (2024)
by: Mannel, Florian
Published: (2024)
Stochastic momentum ADMM for nonconvex and nonsmooth optimization with application to PnP algorithm
by: Deng, Kangkang, et al.
Published: (2025)
by: Deng, Kangkang, et al.
Published: (2025)
On the convergence of an inertial proximal algorithm with a Tikhonov regularization term
by: László, Szilárd Csaba
Published: (2023)
by: László, Szilárd Csaba
Published: (2023)
Universal heavy-ball method for nonconvex optimization under Hölder continuous Hessians
by: Marumo, Naoki, et al.
Published: (2023)
by: Marumo, Naoki, et al.
Published: (2023)
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)
Binno: A 1st-order method for Bi-level Nonconvex Nonsmooth Optimization for Matrix Factorizations
by: Selicato, Laura, et al.
Published: (2025)
by: Selicato, Laura, et al.
Published: (2025)
Oracle complexities of augmented Lagrangian methods for nonsmooth manifold optimization
by: Deng, Kangkang, et al.
Published: (2024)
by: Deng, Kangkang, et al.
Published: (2024)
Shadow splitting methods for nonconvex optimisation: epi-approximation, convergence and saddle point avoidance
by: Atenas, Felipe
Published: (2025)
by: Atenas, Felipe
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)
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)
Parameter-Free Accelerated Quasi-Newton Method for Nonconvex Optimization
by: Marumo, Naoki
Published: (2025)
by: Marumo, Naoki
Published: (2025)
Inexact Riemannian Gradient Descent Method for Nonconvex Optimization
by: Zhou, Juan, et al.
Published: (2024)
by: Zhou, Juan, et al.
Published: (2024)
A relaxed version of Ryu's three-operator splitting method for structured nonconvex optimization
by: Alcantara, Jan Harold, et al.
Published: (2025)
by: Alcantara, Jan Harold, et al.
Published: (2025)
A min-max reformulation and proximal algorithms for a class of structured nonsmooth fractional optimization problems
by: Zhou, Junpeng, et al.
Published: (2025)
by: Zhou, Junpeng, et al.
Published: (2025)
Steering exact penalty DCA for nonsmooth DC optimization problems with equality and inequality constraints
by: Dolgopolik, M. V.
Published: (2021)
by: Dolgopolik, M. V.
Published: (2021)
A modified exact penalty approach for general constrained $\ell_0$-sparse optimization problems
by: Kanzow, Christian, et al.
Published: (2025)
by: Kanzow, Christian, et al.
Published: (2025)
A first-order method for nonconvex-strongly-concave constrained minimax optimization
by: Lu, Zhaosong, et al.
Published: (2025)
by: Lu, Zhaosong, et al.
Published: (2025)
Parameter-free accelerated gradient descent for nonconvex minimization
by: Marumo, Naoki, et al.
Published: (2022)
by: Marumo, Naoki, et al.
Published: (2022)
Variance-reduced first-order methods for deterministically constrained stochastic nonconvex optimization with strong convergence guarantees
by: Lu, Zhaosong, et al.
Published: (2024)
by: Lu, Zhaosong, et al.
Published: (2024)
Proximal methods for structured nonsmooth optimization over Riemannian submanifolds
by: Li, Qia, et al.
Published: (2024)
by: Li, Qia, et al.
Published: (2024)
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)
On a globally convergent semismooth* Newton method in nonsmooth nonconvex optimization
by: Gfrerer, H.
Published: (2024)
by: Gfrerer, H.
Published: (2024)
A first-order method for nonconvex-nonconcave minimax problems under a local Kurdyka-Lojasiewicz condition
by: Lu, Zhaosong, et al.
Published: (2025)
by: Lu, Zhaosong, et al.
Published: (2025)
A structured L-BFGS method and its application to inverse problems
by: Mannel, Florian, et al.
Published: (2023)
by: Mannel, Florian, et al.
Published: (2023)
Forward-Backward algorithms for weakly convex problems
by: Bednarczuk, Ewa, et al.
Published: (2023)
by: Bednarczuk, Ewa, et al.
Published: (2023)
A distributed Douglas-Rachford splitting method for solving linear constrained multi-block weakly convex problems
by: Hu, Leyu, et al.
Published: (2024)
by: Hu, Leyu, et al.
Published: (2024)
Splitting the Conditional Gradient Algorithm
by: Woodstock, Zev, et al.
Published: (2023)
by: Woodstock, Zev, et al.
Published: (2023)
Solving bilevel optimization via sequential minimax optimization
by: Lu, Zhaosong, et al.
Published: (2025)
by: Lu, Zhaosong, et al.
Published: (2025)
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)
Proximal Gradient Descent Ascent Methods for Nonsmooth Nonconvex-Concave Minimax Problems on Riemannian Manifolds
by: Xie, Xiyuan, et al.
Published: (2025)
by: Xie, Xiyuan, et al.
Published: (2025)
Convergence-Guaranteed Algorithms for l1/2-Regularized Quadratic Programs with Assignment Constraints
by: Xie, Lijun, et al.
Published: (2025)
by: Xie, Lijun, et al.
Published: (2025)
Local Convergence Analysis of ADMM for Nonconvex Composite Optimization
by: Xie, Xiyuan, et al.
Published: (2026)
by: Xie, Xiyuan, et al.
Published: (2026)
The Augmented Mixing Method: Computing High-Accuracy Primal-Dual Solutions to Large-Scale SDPs via Column Updates
by: Brosch, Daniel, et al.
Published: (2025)
by: Brosch, Daniel, et al.
Published: (2025)
Stochastic optimization over proximally smooth sets
by: Davis, Damek, et al.
Published: (2020)
by: Davis, Damek, et al.
Published: (2020)
A Bregman ADMM for Bethe variational problem
by: Khoo, Yuehaw, et al.
Published: (2025)
by: Khoo, Yuehaw, et al.
Published: (2025)
On the role of semismoothness in the implicit programming approach to selected nonsmooth optimization problems
by: Gfrerer, Helmut, et al.
Published: (2024)
by: Gfrerer, Helmut, et al.
Published: (2024)
Understanding the Douglas-Rachford splitting method through the lenses of Moreau-type envelopes
by: Atenas, Felipe
Published: (2023)
by: Atenas, Felipe
Published: (2023)
Bivariate rational approximations of the general temperature integral
by: Aghili, Alireza, et al.
Published: (2024)
by: Aghili, Alireza, et al.
Published: (2024)
A structured L-BFGS method with diagonal scaling and its application to image registration
by: Mannel, Florian, et al.
Published: (2024)
by: Mannel, Florian, 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 globalization of L-BFGS and the Barzilai-Borwein method for nonconvex unconstrained optimization
by: Mannel, Florian
Published: (2024) -
Stochastic momentum ADMM for nonconvex and nonsmooth optimization with application to PnP algorithm
by: Deng, Kangkang, et al.
Published: (2025) -
On the convergence of an inertial proximal algorithm with a Tikhonov regularization term
by: László, Szilárd Csaba
Published: (2023) -
Universal heavy-ball method for nonconvex optimization under Hölder continuous Hessians
by: Marumo, Naoki, et al.
Published: (2023)