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On the Complexity of Grammar-Based Compression over Fixed Alphabets

Authors Katrin Casel, Henning Fernau, Serge Gaspers, Benjamin Gras, Markus L. Schmid

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Keywords
  • Grammar-Based Compression
  • Straight-Line Programs
  • NP-Completeness
  • Exact Exponential Time Algorithms

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Abstract

It is shown that the shortest-grammar problem remains NP-complete if the alphabet is fixed and has a size of at least 24 (which settles an open question). On the other hand, this problem can be solved in polynomial-time, if the number of nonterminals is bounded, which is shown by encoding the problem as a problem on graphs with interval structure. Furthermore, we present an O(3n) exact exponential-time algorithm, based on dynamic programming. Similar results are also given for 1-level grammars, i.e., grammars for which only the start rule contains nonterminals on the right side (thus, investigating the impact of the "hierarchical depth" on the complexity of the shortest-grammar problem).

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Katrin Casel, Henning Fernau, Serge Gaspers, Benjamin Gras, and Markus L. Schmid. On the Complexity of Grammar-Based Compression over Fixed Alphabets. In 43rd International Colloquium on Automata, Languages, and Programming (ICALP 2016). Leibniz International Proceedings in Informatics (LIPIcs), Volume 55, pp. 122:1-122:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016) https://doi.org/10.4230/LIPIcs.ICALP.2016.122

Author Details

Katrin Casel
Henning Fernau
Serge Gaspers
Benjamin Gras
Markus L. Schmid

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