A simple algorithmic proof of the symmetric lopsided Lovász local lemma

Lefteris Kirousis, John Livieratos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We provide a simple algorithmic proof for the symmetric Lopsided Lovász Local Lemma, a variant of the classic Lovász Local Lemma, where, roughly, only the degree of the negatively correlated undesirable events counts. Our analysis refers to the algorithm by Moser (2009), however it is based on a simple application of the probabilistic method, rather than a counting argument, as are most of the analyses of algorithms for variants of the Lovász Local Lemma.

Original languageEnglish (US)
Title of host publicationLearning and Intelligent Optimization - 12th International Conference, LION 12, Revised Selected Papers
EditorsPanos M. Pardalos, Roberto Battiti, Mauro Brunato, Ilias Kotsireas
PublisherSpringer Verlag
Pages49-63
Number of pages15
ISBN (Print)9783030053475
DOIs
StatePublished - 2019
Event12th International Conference on Learning and Intelligent Optimization, LION 12 - Kalamata, Greece
Duration: Jun 10 2018Jun 15 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11353 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th International Conference on Learning and Intelligent Optimization, LION 12
Country/TerritoryGreece
CityKalamata
Period6/10/186/15/18

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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