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A Canonical Generalization of OBDD

Authors: Florent Capelli, YooJung Choi, Stefan Mengel, Martín Muñoz, and Guy Van den Broeck

Published in: LIPIcs, Volume 377, 29th International Conference on Theory and Applications of Satisfiability Testing (SAT 2026)


Abstract
We introduce Tree Decision Diagrams (TDD) as a model for Boolean functions that generalizes OBDD. They can be seen as a restriction of structured d-DNNF; that is, d-DNNF that respect a vtree T. We show that TDDs enjoy the same tractability properties as OBDD, such as model counting, enumeration, conditioning, and apply, and are more succinct. In particular, we show that CNF formulas of treewidth k can be represented by TDDs of FPT size, which is known to be impossible for OBDD. We study the complexity of compiling CNF formulas into deterministic TDDs via bottom-up compilation and relate the complexity of this approach with the notion of factor width introduced by Bova and Szeider.

Cite as

Florent Capelli, YooJung Choi, Stefan Mengel, Martín Muñoz, and Guy Van den Broeck. A Canonical Generalization of OBDD. In 29th International Conference on Theory and Applications of Satisfiability Testing (SAT 2026). Leibniz International Proceedings in Informatics (LIPIcs), Volume 377, pp. 10:1-10:19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2026)


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@InProceedings{capelli_et_al:LIPIcs.SAT.2026.10,
  author =	{Capelli, Florent and Choi, YooJung and Mengel, Stefan and Mu\~{n}oz, Mart{\'\i}n and Van den Broeck, Guy},
  title =	{{A Canonical Generalization of OBDD}},
  booktitle =	{29th International Conference on Theory and Applications of Satisfiability Testing (SAT 2026)},
  pages =	{10:1--10:19},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-431-4},
  ISSN =	{1868-8969},
  year =	{2026},
  volume =	{377},
  editor =	{Ignatiev, Alexey and Szeider, Stefan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SAT.2026.10},
  URN =		{urn:nbn:de:0030-drops-263167},
  doi =		{10.4230/LIPIcs.SAT.2026.10},
  annote =	{Keywords: Boolean functions, Model counting, Knowledge Compilation}
}
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