Document Open Access Logo

Approximation of smallest linear tree grammar

Authors Artur Jez, Markus Lohrey



PDF
Thumbnail PDF

File

LIPIcs.STACS.2014.445.pdf
  • Filesize: 0.63 MB
  • 13 pages

Document Identifiers

Author Details

Artur Jez
Markus Lohrey

Cite AsGet BibTex

Artur Jez and Markus Lohrey. Approximation of smallest linear tree grammar. In 31st International Symposium on Theoretical Aspects of Computer Science (STACS 2014). Leibniz International Proceedings in Informatics (LIPIcs), Volume 25, pp. 445-457, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2014)
https://doi.org/10.4230/LIPIcs.STACS.2014.445

Abstract

A simple linear-time algorithm for constructing a linear context-free tree grammar of size O(r^2.g.log(n)) for a given input tree T of size n is presented, where g is the size of a minimal linear context-free tree grammar for T, and r is the maximal rank of symbols in T (which is a constant in many applications). This is the first example of a grammar-based tree compression algorithm with an approximation ratio polynomial in g. The analysis of the algorithm uses an extension of the recompression technique (used in the context of grammar-based string compression) from strings to trees.
Keywords
  • Grammar-based compression
  • Tree compression
  • Tree-grammars

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail