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Autore principale: Navarro, Gonzalo
Natura: Preprint
Pubblicazione: 2024
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Accesso online:https://arxiv.org/abs/2405.15088
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author Navarro, Gonzalo
author_facet Navarro, Gonzalo
contents While operations {\em rank} and {\em select} on static bitvectors can be supported in constant time, lower bounds show that supporting updates raises the cost per operation to $Θ(\log n/ \log\log n)$ on bitvectors holding $n$ bits. This is a shame in scenarios where updates are possible but uncommon. We develop a representation of bitvectors that we call adaptive dynamic bitvector, which uses the asymptotically optimal $n+o(n)$ bits of space and, if there are $q$ queries per update, supports all the operations in $O(\log(n/q)/\log\log n)$ amortized time. Further, we prove that this time is \new{worst-case} optimal in the cell probe model. We describe a large number of applications of our representation to other compact dynamic data structures.
format Preprint
id arxiv_https___arxiv_org_abs_2405_15088
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle (Worst-Case) Optimal Adaptive Dynamic Bitvectors
Navarro, Gonzalo
Data Structures and Algorithms
While operations {\em rank} and {\em select} on static bitvectors can be supported in constant time, lower bounds show that supporting updates raises the cost per operation to $Θ(\log n/ \log\log n)$ on bitvectors holding $n$ bits. This is a shame in scenarios where updates are possible but uncommon. We develop a representation of bitvectors that we call adaptive dynamic bitvector, which uses the asymptotically optimal $n+o(n)$ bits of space and, if there are $q$ queries per update, supports all the operations in $O(\log(n/q)/\log\log n)$ amortized time. Further, we prove that this time is \new{worst-case} optimal in the cell probe model. We describe a large number of applications of our representation to other compact dynamic data structures.
title (Worst-Case) Optimal Adaptive Dynamic Bitvectors
topic Data Structures and Algorithms
url https://arxiv.org/abs/2405.15088