:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Luo, Hao
Format:	Preprint
Published:	2024
Subjects:	Optimization and Control Numerical Analysis
Online Access:	https://arxiv.org/abs/2405.14098
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Nonlinear preconditioned primal-dual method for a class of structured minimax problems
by: Zhang, Lu, et al.
Published: (2024)

An accelerated primal-dual flow for linearly constrained multiobjective optimization
by: Luo, Hao, et al.
Published: (2025)

Numerical analysis of a first-order computational algorithm for reaction-diffusion equations via the primal-dual hybrid gradient method
by: Liu, Shu, et al.
Published: (2024)

A primal-dual price-optimization method for computing equilibrium prices in mean-field games models
by: Wang, Xu, et al.
Published: (2025)

Calculus rules for proximal ε-subdifferentials and inexact proximity operators for weakly convex functions
by: Bednarczuk, Ewa, et al.
Published: (2022)

An inertial minimal-deformation-rate framework for shape optimization
by: Chen, Falai, et al.
Published: (2026)

Multidimensional extrapolated global proximal gradient and applications for image processing
by: Bentbib, Abdeslem Hafid, et al.
Published: (2024)

The latent variable proximal point algorithm for variational problems with inequality constraints
by: Dokken, Jørgen S., et al.
Published: (2025)

Accelerated Primal-Dual Proximal Gradient Splitting Methods for Convex-Concave Saddle-Point Problems
by: Luo, Hao
Published: (2024)

Tensor train based sampling algorithms for approximating regularized Wasserstein proximal operators
by: Han, Fuqun, et al.
Published: (2024)

A unified high-resolution ODE framework for first-order methods
by: Wang, Lixia, et al.
Published: (2026)

Augmented Lagrangian methods for infeasible convex optimization problems and diverging proximal-point algorithms
by: Andrews, Roland, et al.
Published: (2025)

Robust Kaczmarz methods for nearly singular linear systems
by: Ke, Yunying, et al.
Published: (2026)

A preconditioned second-order convex splitting algorithm with extrapolation
by: Shen, Xinhua, et al.
Published: (2025)

A boosted second-order convex splitting algorithm based on gradient flows
by: Shen, Xinhua, et al.
Published: (2024)

A stochastic preconditioned Douglas-Rachford splitting method for saddle-point problems
by: Dong, Yakun, et al.
Published: (2022)

An accelerated gradient method with adaptive restart for convex multiobjective optimization problems
by: Luo, Hao, et al.
Published: (2025)

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

A generalization of the Newton-based matrix splitting iteration method for generalized absolute value equations
by: Li, Xuehua, et al.
Published: (2023)

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming
by: Cai, Yuhang, et al.
Published: (2025)

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 Primal-dual Forward-backward Splitting Method for Cross-diffusion Gradient Flows with General Mobility Matrices
by: Deng, Yunhong, et al.
Published: (2025)

Convergence analysis of Lie and Strang splitting for operator-valued differential Riccati equations
by: Hansen, Eskil, et al.
Published: (2025)

On a fixed-point continuation method for a convex optimization problem
by: Fest, Jean-Baptiste, et al.
Published: (2022)

Stochastic dual coordinate descent with adaptive heavy ball momentum for linearly constrained convex optimization
by: Zeng, Yun, et al.
Published: (2023)

A novel dual-decomposition method for non-convex two-stage stochastic mixed-integer quadratically constrained quadratic problems
by: Belyak, Nikita, et al.
Published: (2023)

An inexact framework of the Newton-based matrix splitting iterative method for the generalized absolute value equation
by: Yu, Dongmei, et al.
Published: (2021)

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

Convergence analysis of a primal-dual optimization-by-continuation algorithm
by: Loris, Ignace, et al.
Published: (2023)

On the variational dual formulation of the Nash system and an adaptive convex gradient-flow approach to nonlinear PDEs
by: Vorotnikov, Dmitry, et al.
Published: (2025)

A note on continuous-time online learning
by: Ying, Lexing
Published: (2024)

A monotone block coordinate descent method for solving absolute value equations
by: Luo, Tingting, et al.
Published: (2024)

Optimization methods for solving matrix equations
by: Zhang, Juan, et al.
Published: (2024)

Optimal local linear convergence of Nesterov's accelerated gradient method for $C^2$ functions under the Polyak--Łojasiewicz inequality
by: Feng, Zixu, et al.
Published: (2026)

Error Estimates of the Gain Approximation by Hermite-Galerkin Method in Feedback Particle Filter
by: Wang, Ruoyu, et al.
Published: (2026)

Generalized Composed Alternating Relaxed Projection Algorithm for Two-Set Feasibility Problem
by: Li, Xinxin, et al.
Published: (2026)

Provably convergent stochastic fixed-point algorithm for free-support Wasserstein barycenter of continuous non-parametric measures
by: Chen, Zeyi, et al.
Published: (2025)

SOR-like iteration and FPI are consistent when they are equipped with certain optimal iterative parameters
by: Liu, Jiayu, et al.
Published: (2024)

Analysis of Robin-boundary control for the Boussinesq equations
by: Gong, Wei, et al.
Published: (2026)

A Cayley-free Two-Step Algorithm for Inverse Singular Value Problems
by: Fan, Jiechang, et al.
Published: (2026)