Improved Lagrangian-PPA based prediction correction method for linearly constrained convex optimization

DOI10.3934/jimo.2021174OpenAlexW3208649261MaRDI QIDQ2083351

Yanfei You, Su-Hong Jiang

Publication date: 10 October 2022

Published in: Journal of Industrial and Management Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/jimo.2021174

zbMATH Keywords

convergence rateproximal point algorithmlinearly constrained convex optimizationcontraction methodsLagrangian-PPA

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Convex programming (90C25) Nonlinear programming (90C30) Numerical optimization and variational techniques (65K10)

Related Items (1)

Two convergent primal-dual hybrid gradient type methods for convex programming with linear constraints

Uses Software

• PROPACK

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• PPA-like contraction methods for convex optimization: a framework using variational inequality approach
• Fixed point and Bregman iterative methods for matrix rank minimization
• A class of customized proximal point algorithms for linearly constrained convex optimization
• Two new customized proximal point algorithms without relaxation for linearly constrained convex optimization
• Proximal-point algorithm using a linear proximal term
• Inexact implicit methods for monotone general variational inequalities
• A class of projection and contraction methods for monotone variational inequalities
• Exact matrix completion via convex optimization
• Convergence Analysis of Primal-Dual Algorithms for a Saddle-Point Problem: From Contraction Perspective
• A Singular Value Thresholding Algorithm for Matrix Completion
• A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science
• Monotone Operators and the Proximal Point Algorithm
• Finite-Dimensional Variational Inequalities and Complementarity Problems
• On the convergence rate of customized proximal point algorithm for convex optimization and saddle-point problem

This page was built for publication: Improved Lagrangian-PPA based prediction correction method for linearly constrained convex optimization