Augmentation approaches for Mixed Integer Programming

Fuente: arXiv
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Autores principales: Puerto, Justo, Ruiz-Alba, Jose A.
Formato: Preprint
Publicado: 2025
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author Puerto, Justo
Ruiz-Alba, Jose A.
author_facet Puerto, Justo
Ruiz-Alba, Jose A.
contents This paper analyses the feasible sets structure of general mixed integer linear programs (MIPs) and its relationship with the existence of a finite cardinality test set which can be applied in augmentation algorithms. We derive and characterize a computable, finite test set for MIPs which can be embedded in a finite augmentation algorithm. Several examples illustrate the structure of this set and its relationship with previous approaches in the literature.
format Preprint
id arxiv_https___arxiv_org_abs_2507_08525
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Augmentation approaches for Mixed Integer Programming
Puerto, Justo
Ruiz-Alba, Jose A.
Optimization and Control
90C11
This paper analyses the feasible sets structure of general mixed integer linear programs (MIPs) and its relationship with the existence of a finite cardinality test set which can be applied in augmentation algorithms. We derive and characterize a computable, finite test set for MIPs which can be embedded in a finite augmentation algorithm. Several examples illustrate the structure of this set and its relationship with previous approaches in the literature.
title Augmentation approaches for Mixed Integer Programming
topic Optimization and Control
90C11
url https://arxiv.org/abs/2507.08525