Inferring strings from graphs and arrays

Hideo Bannai, Shunsuke Inenaga, Ayumi Shinohara, Masayuki Takeda

研究成果: 書籍/レポート タイプへの寄稿

50 被引用数 (Scopus)

抄録

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 = p1, . . . , pn of integers 1, . . . , n. Each of our three algorithms solving the above problems runs in linear time with respect to the input size.

本文言語英語
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
編集者Branislav Rovan, Peter Vojtas
出版社Springer Verlag
ページ208-217
ページ数10
ISBN(電子版)9783540406716
DOI
出版ステータス出版済み - 2003

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2747
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

!!!All Science Journal Classification (ASJC) codes

  • 理論的コンピュータサイエンス
  • コンピュータサイエンス一般

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