Cover Image

Symplectic Discretization Approach for Developing New Proximal Point Algorithm

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yuan, Ya-xiang, Zhang, Yi
Format:	Preprint
Published:	2023
Subjects:	Optimization and Control 47J20, 47H05, 65K15, 65Y20, 90C25, 90C52
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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)

A Symplectic Discretization Based Proximal Point Algorithm for Convex Minimization
by: Yuan, Ya-xiang, et al.
Published: (2024)

A robust regularized extreme learning machine for regression problems based on self-adaptive accelerated extra-gradient algorithm
by: Adegoke, Muideen, 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)

Three-Operator Splitting Method with Two-Step Inertial Extrapolation
by: Iyiola, Olaniyi S., et al.
Published: (2024)

Identification of Active Subfunctions in Finite-Max Minimisation via a Smooth Reformulation
by: Ras, Charl, et al.
Published: (2024)

On the convergence of an inertial proximal algorithm with a Tikhonov regularization term
by: László, Szilárd Csaba
Published: (2023)

On the Convergence of HalpernSGD
by: Colao, Vittorio, et al.
Published: (2026)

Extra-Gradient Method with Flexible Anchoring: Strong Convergence and Fast Residual Decay
by: Boţ, Radu Ioan, et al.
Published: (2024)

Splitting Algorithms for Distributionally Robust Optimization
by: Briceño-Arias, Luis, et al.
Published: (2024)

A Theory of Composition and Duality of Extremal Optimal Fixed-Point Algorithms
by: Yoon, TaeHo, et al.
Published: (2026)

Convergence of the Preconditioned Proximal Point Method and Douglas-Rachford Splitting in the Absence of Monotonicity
by: Evens, Brecht, et al.
Published: (2023)

Reinforcement-learning-based Algorithms for Optimization Problems and Applications to Inverse Problems
by: Xu, Chen, et al.
Published: (2023)

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

New operator designs for Halpern iterations with explicit rates under Hölder error bounds
by: Barros, Pablo, et al.
Published: (2026)

Nonlinear forward-backward-half forward splitting with momentum for monotone inclusions
by: Qin, Liqian, et al.
Published: (2025)

Nonlinear three-operator splitting algorithms with momentum for monotone inclusions
by: Qin, Liqian, et al.
Published: (2025)

A Dual Method for Minimax Quadratic Programming
by: Ren, Wenhui, et al.
Published: (2025)

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)

Distributed accelerated proximal conjugate gradient methods for multi-agent constrained optimization problems
by: Gebrie, Anteneh Getachew
Published: (2023)

Strong Convergence of FISTA for Affinely Constrained Convex Quadratic Minimization
by: Bartz, Sedi, et al.
Published: (2026)

Primal-dual extrapolation methods for monotone inclusions under local Lipschitz continuity
by: Lu, Zhaosong, et al.
Published: (2022)

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

Mini-Batch Stochastic Krasnosel'ski\uı-Mann Algorithm for Nonexpansive Fixed Point Problems
by: Iiduka, Hideaki
Published: (2026)

Relaxed Weak Accelerated Proximal Gradient Method: a Unified Framework for Nesterov's Accelerations
by: Li, Hongda, et al.
Published: (2025)

Complexity of trust-region methods with unbounded Hessian approximations for smooth and nonsmooth optimization
by: Leconte, Geoffroy, et al.
Published: (2023)

On Generalized Forward-Reflected-Backward Method for Monotone Inclusion Problems
by: Soe, Santanu, et al.
Published: (2025)

A reconsideration of quasimonotone variational inequality problems
by: Wang, Meiying, et al.
Published: (2025)

Splitting the Forward-Backward Algorithm: A Full Characterization
by: Åkerman, Anton, et al.
Published: (2025)

Forward-Reflected-Backward and Shadow-Douglas--Rachford with partial inverse for Solving Monotone Inclusions
by: Roldán, Fernando
Published: (2023)

Modified Bregman Golden Ratio Algorithm for Mixed Variational Inequality Problems
by: Kumar, Gourav, et al.
Published: (2025)

Stochastic Krasnoselskii-Mann Iterations: Convergence without Uniformly Bounded Variance
by: Cortild, Daniel, et al.
Published: (2026)

A proximal-gradient inertial algorithm with Tikhonov regularization: strong convergence to the minimal norm solution
by: László, Szilárd Csaba
Published: (2024)

Fast Krasnoselskii-Mann Method with Overrelaxation and Preconditioners
by: Boţ, Radu I., et al.
Published: (2024)

On Opial's Lemma
by: Arakcheev, Aleksandr, et al.
Published: (2025)

HPR-QP: A dual Halpern Peaceman-Rachford method for solving large-scale convex composite quadratic programming
by: Chen, Kaihuang, et al.
Published: (2025)

Convergence of the Chambolle-Pock Algorithm in the Absence of Monotonicity
by: Evens, Brecht, et al.
Published: (2023)