Entropy compression versus Lovász Local Lemma.

dc.contributor.authorAlves, Rogério Gomes
dc.contributor.authorProcacci, Aldo
dc.contributor.authorSanchis, Remy Paiva
dc.date.accessioned2022-03-23T13:45:36Z
dc.date.available2022-03-23T13:45:36Z
dc.date.issued2021pt_BR
dc.description.abstractIn the framework of the probabilistic method in combinatorics, we provide a systematization of the entropy compression method clarifying the setting in which it can be applied and providing a theorem yielding a general constructive criterion. We finally elucidate, through topical examples, the effectiveness of the entropy-compression criterion in comparison with the Lovász Local Lemma criterion and, in particular, with the improved criterion based on cluster expansion.pt_BR
dc.identifier.citationALVES, R. G.; PROCACCI, A.; SANCHIS, R. P. Entropy compression versus Lovász Local Lemma. Advances in Applied Mathematics, v. 125, artigo 102163, 2021. Disponível em: <https://www.sciencedirect.com/science/article/abs/pii/S0196885821000014?via%3Dihub>. Acesso em: 25 ago. 2021.pt_BR
dc.identifier.doihttps://doi.org/10.1016/j.aam.2021.102163pt_BR
dc.identifier.issn0196-8858
dc.identifier.urihttp://www.repositorio.ufop.br/jspui/handle/123456789/14719
dc.identifier.uri2https://www.sciencedirect.com/science/article/abs/pii/S0196885821000014?via%3Dihubpt_BR
dc.language.isoen_USpt_BR
dc.rightsrestritopt_BR
dc.subjectProbabilistic method in combinatoricspt_BR
dc.subjectRandomized algorithmspt_BR
dc.titleEntropy compression versus Lovász Local Lemma.pt_BR
dc.typeArtigo publicado em periodicopt_BR

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