| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 427652 | Information Processing Letters | 2010 | 4 Pages |
Abstract
We prove that longest common prefix (LCP) information can be stored in much less space than previously known. More precisely, we show that in the presence of the text and the suffix array, o(n) additional bits are sufficient to answer LCP-queries asymptotically in the same time that is needed to retrieve an entry from the suffix array. This yields the smallest compressed suffix tree with sub-logarithmic navigation time.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
