First-Order Methods for Linear Programming

Fuente: arXiv
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Autor principal: Lu, Haihao
Formato: Preprint
Publicado: 2024
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author Lu, Haihao
author_facet Lu, Haihao
contents Linear programming is the seminal optimization problem that has spawned and grown into today's rich and diverse optimization modeling and algorithmic landscape. This article provides an overview of the recent development of first-order methods for solving large-scale linear programming.
format Preprint
id arxiv_https___arxiv_org_abs_2403_14535
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle First-Order Methods for Linear Programming
Lu, Haihao
Optimization and Control
Linear programming is the seminal optimization problem that has spawned and grown into today's rich and diverse optimization modeling and algorithmic landscape. This article provides an overview of the recent development of first-order methods for solving large-scale linear programming.
title First-Order Methods for Linear Programming
topic Optimization and Control
url https://arxiv.org/abs/2403.14535