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        <identifier>oai:drops-oai.dagstuhl.de:23253</identifier>
        <datestamp>2025-10-27T10:36:17Z</datestamp>
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          <dc:title>Succinct Rank Dictionaries Revisited</dc:title>
          <dc:creator>Dönges, Saska</dc:creator>
          <dc:creator>Puglisi, Simon J.</dc:creator>
          <dc:subject>data structures</dc:subject>
          <dc:subject>data compression</dc:subject>
          <dc:subject>succinct data structures</dc:subject>
          <dc:subject>compressed data structures</dc:subject>
          <dc:subject>weighted de Bruijn sequence</dc:subject>
          <dc:subject>text indexing</dc:subject>
          <dc:subject>string algorithms</dc:subject>
          <dc:description>We study data structures for representing sets of m elements drawn from the universe [0..n-1] that support access and rank queries. A classical approach to this problem, foundational to the fields of succinct and compact data structures, is to represent the set as a bitvector X of n bits, where X[i] = 1 iff i is a member of the set. Our particular focus in this paper is on structures taking log₂{n choose m} + o(n) bits, which stem from the so-called RRR bitvector scheme (Raman et al., ACM Trans. Alg., 2007). In RRR bitvectors, X is conceptually divided into n/b blocks of b bits each. A block containing c 1 bits is then encoded using log₂ b + log₂{b choose c} bits, where log b bits are used to encode c, and log₂{b choose c} bits are used to say which of the {b choose c} possible combinations the block represents. In all existing RRR implementations the code assigned to a block is its lexicographical rank amongst the {b choose c} combinations of its class. In this paper we explore alternative non-lexicographical assignments of codes to blocks. We show these approaches can lead to faster query times and offer relevant space-time trade-offs in practice compared to state-of-the-art implementations (Gog and Petri, Software, Prac. &amp; Exp., 2014) from the Succinct Data Structures Library.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Saska Dönges and Simon J. Puglisi</dc:contributor>
          <dc:date>2025</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 338, 23rd International Symposium on Experimental Algorithms (SEA 2025)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.SEA.2025.15</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-232530</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SEA.2025.15</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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