Anderson Accelerated Primal-Dual Hybrid Gradient for solving LP

Fuente: arXiv
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Main Authors: Zhou, Yingxin, Cipolla, Stefano, Vuong, Phan Tu
Format: Preprint
Published: 2025
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author Zhou, Yingxin
Cipolla, Stefano
Vuong, Phan Tu
author_facet Zhou, Yingxin
Cipolla, Stefano
Vuong, Phan Tu
contents We present the Anderson Accelerated Primal-Dual Hybrid Gradient (AA-PDHG), a fixed-point-based framework designed to overcome the slow convergence of the standard PDHG method for the solution of linear programming (LP) problems. We establish the global convergence of AA-PDHG under a safeguard condition. In addition, we propose a filtered variant (FAA-PDHG) that applies angle and length filtering to preserve the uniform boundedness of the coefficient matrix, a property crucial for guaranteeing convergence. Numerical results show that both AA-PDHG and FAA-PDHG deliver significant speedups over vanilla PDHG for large-scale LP instances.
format Preprint
id arxiv_https___arxiv_org_abs_2508_08062
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Anderson Accelerated Primal-Dual Hybrid Gradient for solving LP
Zhou, Yingxin
Cipolla, Stefano
Vuong, Phan Tu
Optimization and Control
Numerical Analysis
65K05, 90C05, 90C06, 90C25, 90C33
We present the Anderson Accelerated Primal-Dual Hybrid Gradient (AA-PDHG), a fixed-point-based framework designed to overcome the slow convergence of the standard PDHG method for the solution of linear programming (LP) problems. We establish the global convergence of AA-PDHG under a safeguard condition. In addition, we propose a filtered variant (FAA-PDHG) that applies angle and length filtering to preserve the uniform boundedness of the coefficient matrix, a property crucial for guaranteeing convergence. Numerical results show that both AA-PDHG and FAA-PDHG deliver significant speedups over vanilla PDHG for large-scale LP instances.
title Anderson Accelerated Primal-Dual Hybrid Gradient for solving LP
topic Optimization and Control
Numerical Analysis
65K05, 90C05, 90C06, 90C25, 90C33
url https://arxiv.org/abs/2508.08062