Classification of OBDD size for monotone 2-CNFs

Igor Razgon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We introduce a new graph parameter called linear upper maximum induced matching width lu-mim width, denoted for a graph G by lu(G). We prove that the smallest size of the obdd for φ, the monotone 2-cnf corresponding to G, is sandwiched between 2lu(G) and nO(lu(G)). The upper bound is based on a combinatorial statement that might be of an independent interest. We show that the bounds in terms of this parameter are best possible. The new parameter is closely related to two existing parameters: linear maximum induced matching width (lmim width) and linear special induced matching width (lsim width). We prove that lu-mim width lies strictly in between these two parameters, being dominated by lsim width and dominating lmim width. We conclude that neither of the two existing parameters can be used instead of lu-mim width to characterize the size of obdds for monotone 2-cnfs and this justifies introduction of the new parameter.

Original languageEnglish
Title of host publication16th International Symposium on Parameterized and Exact Computation, IPEC 2021
EditorsPetr A. Golovach, Meirav Zehavi
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN (Electronic)9783959772167
DOIs
StatePublished - 1 Nov 2021
Externally publishedYes
Event16th International Symposium on Parameterized and Exact Computation, IPEC 2021 - Virtual, Lisbon, Portugal
Duration: 8 Sep 202110 Sep 2021

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume214
ISSN (Print)1868-8969

Conference

Conference16th International Symposium on Parameterized and Exact Computation, IPEC 2021
Country/TerritoryPortugal
CityVirtual, Lisbon
Period8/09/2110/09/21

Keywords

  • Lower bounds
  • Monotone 2-CNFs
  • Ordered Binary Decision Diagrams
  • Upper
  • Width parameters of graphs

ASJC Scopus subject areas

  • Software

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