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https://doi.org/10.1137/1.9781...
Article . 2017 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2016
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Space-Efficient Construction of Compressed Indexes in Deterministic Linear Time

Authors: J. Ian Munro; Gonzalo Navarro 0001; Yakov Nekrich;

Space-Efficient Construction of Compressed Indexes in Deterministic Linear Time

Abstract

We show that the compressed suffix array and the compressed suffix tree of a string $T$ can be built in $O(n)$ deterministic time using $O(n\log��)$ bits of space, where $n$ is the string length and $��$ is the alphabet size. Previously described deterministic algorithms either run in time that depends on the alphabet size or need $��(n\log ��)$ bits of working space. Our result has immediate applications to other problems, such as yielding the first linear-time LZ77 and LZ78 parsing algorithms that use $O(n \log��)$ bits.

Extended version of a paper to appear at SODA 2017

Keywords

FOS: Computer and information sciences, Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS)

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    19
    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Average
Top 10%
Green
bronze