Two inertial proximal coordinate algorithms for a family of nonsmooth and nonconvex optimization problems
type: Item
instance of: scholarly article
title: Two inertial proximal coordinate algorithms for a family of nonsmooth and nonconvex optimization problems
DOI: 10.1016/j.automatica.2024.111992
author: Yazheng Dang
author: Jie Sun
author: Kok Lay Teo
published in: Automatica
publication date: 2025-01-08T00:00:00Z
Mathematics Subject Classification ID: 93-XX
zbMATH DE Number: 7963796
zbMATH Keywords: nonconvex and nonsmooth optimization
zbMATH Keywords: inertial proximal algorithm
zbMATH Keywords: subgradient
zbMATH Keywords: global convergence
zbMATH Keywords: convergence rate
MaRDI profile type: Publication
cites work: An inertial proximal method for maximal monotone operators via discretization of a nonlinear oscillator with damping
cites work: On the convergence of the proximal algorithm for nonsmooth functions involving analytic features
cites work: Convex analysis and monotone operator theory in Hilbert spaces
cites work: A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
cites work: Proximal alternating linearized minimization for nonconvex and nonsmooth problems
cites work: A Proximal Minimization Algorithm for Structured Nonconvex and Nonsmooth Problems
cites work: On the convergence of the iterates of the ``fast iterative shrinkage/thresholding algorithm''
cites work: Proximal Methods for Cohypomonotone Operators
cites work: The convergence rate analysis of the symmetric ADMM for the nonconvex separable optimization problems
cites work: Convergence of New Inertial Proximal Methods for DC Programming
cites work: Local Convergence of the Proximal Point Algorithm and Multiplier Methods Without Monotonicity
cites work: Prox-regular functions in variational analysis
cites work: Augmented Lagrangians and Applications of the Proximal Point Algorithm in Convex Programming
cites work: Solving monotone stochastic variational inequalities and complementarity problems by progressive hedging
cites work: Solving Lagrangian variational inequalities with applications to stochastic programming
cites work: Variational Analysis
cites work: The elicited progressive decoupling algorithm: a note on the rate of convergence and a preliminary numerical experiment on the choice of parameters
description: scientific article; zbMATH DE number 7963796