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Autor principal: Megiddo, Nimrod
Formato: Preprint
Publicado: 2024
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Acceso en línea:https://arxiv.org/abs/2411.16963
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author Megiddo, Nimrod
author_facet Megiddo, Nimrod
contents Combinatorial optimization can be described as the problem of finding a feasible subset that maximizes a objective function. The paper discusses combinatorial optimization problems, where for each dimension the set of feasible subsets is fixed. It is demonstrated that in some cases fixing the structure makes the problem easier, whereas in general the problem remains NP-complete.
format Preprint
id arxiv_https___arxiv_org_abs_2411_16963
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On the Complexity of Combinatorial Optimization on Fixed Structures
Megiddo, Nimrod
Computational Complexity
Combinatorial optimization can be described as the problem of finding a feasible subset that maximizes a objective function. The paper discusses combinatorial optimization problems, where for each dimension the set of feasible subsets is fixed. It is demonstrated that in some cases fixing the structure makes the problem easier, whereas in general the problem remains NP-complete.
title On the Complexity of Combinatorial Optimization on Fixed Structures
topic Computational Complexity
url https://arxiv.org/abs/2411.16963