Abstract
This paper introduces a new problem of inferring strings from graphs, and inferring strings from arrays. Given a graph G or an array A, we infer a string that suits the graph, or the array, under some condition. Firstly, we solve the problem of finding a string w such that the directed acyclic subsequence graph (DASG) of w is isomorphic to a given graph G. Secondly, we consider directed acyclic word graphs (DAWGs) in terms of string inference. Finally, we consider the problem of finding a string w of a minimal size alphabet, such that the suffix array (SA) of w is identical to a given permutation p = p 1, . . . , p n of integers 1, . . . , n. Each of our three algorithms solving the above problems runs in linear time with respect to the input size.
Original language | English |
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Pages (from-to) | 208-217 |
Number of pages | 10 |
Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Volume | 2747 |
Publication status | Published - 2003 Dec 1 |
Externally published | Yes |
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)