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        <identifier>oai:drops-oai.dagstuhl.de:22180</identifier>
        <datestamp>2024-12-04T06:53:45Z</datestamp>
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          <dc:title>Single Family Algebra Operation on BDDs and ZDDs Leads to Exponential Blow-Up</dc:title>
          <dc:creator>Nakamura, Kengo</dc:creator>
          <dc:creator>Nishino, Masaaki</dc:creator>
          <dc:creator>Denzumi, Shuhei</dc:creator>
          <dc:subject>Binary decision diagrams</dc:subject>
          <dc:subject>family of sets</dc:subject>
          <dc:subject>family algebra</dc:subject>
          <dc:description>Binary decision diagram (BDD) and zero-suppressed binary decision diagram (ZDD) are data structures to represent a family of (sub)sets compactly, and it can be used as succinct indexes for a family of sets. To build BDD/ZDD representing a desired family of sets, there are many transformation operations that take BDDs/ZDDs as inputs and output BDD/ZDD representing the resultant family after performing operations such as set union and intersection. However, except for some basic operations, the worst-time complexity of taking such transformation on BDDs/ZDDs has not been extensively studied, and some contradictory statements about it have arisen in the literature. In this paper, we show that many transformation operations on BDDs/ZDDs, including all operations for families of sets that appear in Knuth’s book, cannot be performed in worst-case polynomial time in the size of input BDDs/ZDDs. This refutes some of the folklore circulated in past literature and resolves an open problem raised by Knuth. Our results are stronger in that such blow-up of computational time occurs even when the ordering, which has a significant impact on the efficiency of treating BDDs/ZDDs, is chosen arbitrarily.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Kengo Nakamura and Masaaki Nishino and Shuhei Denzumi</dc:contributor>
          <dc:date>2024</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 322, 35th International Symposium on Algorithms and Computation (ISAAC 2024)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ISAAC.2024.52</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-221803</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ISAAC.2024.52</dc:identifier>
          <dc:language>eng</dc:language>
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