Cover Image

Primal-dual dynamics featuring Hessian-driven damping and variable mass for convex optimization problems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sun, Xiangkai, Guo, Feng, He, Liang, Guo, Xiaole
Format:	Preprint
Published:	2026
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Inertial primal-dual dynamics with Hessian-driven damping and Tikhonov regularization for convex-concave bilinear saddle point problems
by: Sun, Xiangkai, et al.
Published: (2024)

Inertial dynamical systems and accelerated algorithms with implicit Hessian-driven damping for nonconvex optimization
by: Gao, Zeying, et al.
Published: (2026)

Primal-dual dynamical systems with closed-loop control for convex optimization in continuous and discrete time
by: Zhang, Huan, et al.
Published: (2026)

Primal-dual proximal bundle and conditional gradient methods for convex problems
by: Liang, Jiaming
Published: (2024)

Fast convex optimization via inertial systems with asymptotically vanishing viscosity and Hessian-driven damping
by: Wang, Zepeng, et al.
Published: (2025)

Tikhonov regularized inertial primal-dual dynamics for convex-concave bilinear saddle point problems
by: Sun, Xiangkai, et al.
Published: (2024)

Convergence analysis of a Tikhonov regularized inertial dynamical system and algorithm for convex optimization problems
by: Sun, Xiangkai, et al.
Published: (2025)

Tikhonov regularization of second-order plus first-order primal-dual dynamical systems for separable convex optimization
by: Sun, Xiangkai, et al.
Published: (2024)

Fast convergence of dynamical systems with implicit Hessian damping and Tikhonov regularization
by: Li, Hong-lu, et al.
Published: (2025)

Inertial accelerated primal-dual algorithms for non-smooth convex optimization problems with linear equality constraints
by: Zhang, Huan, et al.
Published: (2025)

Tikhonov regularized second-order plus first-order primal-dual dynamical systems with asymptotically vanishing damping for linear equality constrained convex optimization problems
by: Zhu, Ting Ting, et al.
Published: (2023)

Heavy-ball dynamics with Hessian-driven damping for non-convex optimization under the Łojasiewicz condition
by: Apidopoulos, Vassilis, et al.
Published: (2025)

Primal-dual algorithm for weakly convex functions under sharpness conditions
by: Bednarczuk, Ewa, et al.
Published: (2024)

Primal-dual interior-point algorithm for linearly constrained convex optimization based on a parametric algebraic transformation
by: Kraria, Aicha, et al.
Published: (2024)

Primal-dual algorithm for distributed optimization: A dissipativity-based perspective
by: Li, Weijian, et al.
Published: (2026)

Primal-dual programs for the constrained optimal impulse control: discounted model
by: Piunovskiy, Alexey, et al.
Published: (2025)

Primal-dual policy learning for mean-field stochastic LQR problem
by: Jiang, Xiushan, et al.
Published: (2025)

Primal-dual algorithm for contextual stochastic combinatorial optimization
by: Bouvier, Louis, et al.
Published: (2025)

SSNCVX: A primal-dual semismooth Newton method for convex composite optimization problem
by: Deng, Zhanwang, et al.
Published: (2025)

When Does Primal Interior Point Method Beat Primal-dual in Linear Optimization?
by: Gao, Wenzhi, et al.
Published: (2024)

A Primal-dual hybrid gradient method for solving optimal control problems and the corresponding Hamilton-Jacobi PDEs
by: Meng, Tingwei, et al.
Published: (2024)

A Bundle-based Augmented Lagrangian Framework: Algorithm, Convergence, and Primal-dual Principles
by: Liao, Feng-Yi, et al.
Published: (2025)

Proximal bundle methods for hybrid weakly convex composite optimization problems
by: Liang, Jiaming, et al.
Published: (2023)

Solving convex optimization problems via a second order dynamical system with implicit Hessian damping and Tikhonov regularization
by: László, Szilárd Csaba
Published: (2024)

Primal-Dual Damping algorithms for optimization
by: Zuo, X., et al.
Published: (2023)

Research on the descent direction of prediction correction algorithms for pseudo-convex/convex optimization problems
by: Li, Ting, et al.
Published: (2025)

A convex combination based primal-dual algorithm with linesearch for general convex-concave saddle point problems
by: Chang, Xiaokai, et al.
Published: (2024)

Non-convex optimization problems for maximum hands-off control
by: Ikeda, Takuya
Published: (2024)

Primal-dual splitting for structured composite monotone inclusions with or without cocoercivity
by: Dao, Minh N., et al.
Published: (2025)

A Two-timescale Primal-dual Algorithm for Decentralized Optimization with Compression
by: Liu, Haoming, et al.
Published: (2025)

Solution uniqueness of convex optimization problems via the radial cone
by: Fadili, Jalal, et al.
Published: (2024)

On quasi-convex smooth optimization problems by a comparison oracle
by: Gasnikov, A. V., et al.
Published: (2024)

Code generation for solving and differentiating through convex optimization problems
by: Schaller, Maximilian, et al.
Published: (2025)

Online convex optimization for robust control of constrained dynamical systems
by: Nonhoff, Marko, et al.
Published: (2024)

An accelerated proximal bundle method for convex optimization
by: Liao, Feng-Yi, et al.
Published: (2025)

Robustness certificates in data-driven non-convex optimization with additively-uncertain constraints
by: Gallo, Alexander J, et al.
Published: (2026)

Universal subgradient and proximal bundle methods for convex and strongly convex hybrid composite optimization
by: Guigues, Vincent, et al.
Published: (2024)

Solving separable convex optimization problems: Faster prediction-correction framework
by: Zhang, Tao, et al.
Published: (2023)

Adaptive Newton-CG methods with global and local analysis for unconstrained optimization with Hölder continuous Hessian
by: Zeng, Ziyang, et al.
Published: (2026)

Exponential Convergence of Augmented Primal-dual Gradient Algorithms for Partially Strongly Convex Functions
by: Li, Mengmou, et al.
Published: (2024)