Year: 2020
Type: preprint
Abstract: The representation of a dynamic ordered set of $n$ integer keys drawn from a universe of size $m$ is a fundamental data structuring problem. Many solutions to this problem achieve optimal time but take polynomial space, therefore preserving time optimality in the \emph{compressed} space regime is the problem we address in this work. For a polynomial universe $m = n^{Θ(1)}$, we give a solution that takes $\textsf{EF}(n,m) + o(n)$ bits, where $\textsf{EF}(n,m) \leq n\lceil \log_2(m/n)\rceil + 2n$ is the cost in bits of the \emph{Elias-Fano} representation of the set, and supports random access to the $i$-th smallest element in $O(\log n/ \log\log n)$ time, updates and predecessor search in $O(\log\log n)$ time. These time bounds are optimal.
Source: arXiv (Cornell University)
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3012995685