TY - GEN
T1 - A simple algorithmic proof of the symmetric lopsided Lovász local lemma
AU - Kirousis, Lefteris
AU - Livieratos, John
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85059933813&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85059933813&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-05348-2_5
DO - 10.1007/978-3-030-05348-2_5
M3 - Conference contribution
AN - SCOPUS:85059933813
SN - 9783030053475
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 49
EP - 63
BT - Learning and Intelligent Optimization - 12th International Conference, LION 12, Revised Selected Papers
A2 - Pardalos, Panos M.
A2 - Battiti, Roberto
A2 - Brunato, Mauro
A2 - Kotsireas, Ilias
PB - Springer Verlag
T2 - 12th International Conference on Learning and Intelligent Optimization, LION 12
Y2 - 10 June 2018 through 15 June 2018
ER -