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A Space-Saving Linear-Time Algorithm for Grammar-Based Compression

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String Processing and Information Retrieval (SPIRE 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3246))

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Abstract

A space-efficient linear-time approximation algorithm for the grammar-based compression problem, which requests for a given string to find a smallest context-free grammar deriving the string, is presented. The algorithm consumes only O(g * log g *) space and achieves the worst-case approximation ratio O(log g * log n), with the size n of an input and the optimum grammar size g *. Experimental results for typical benchmarks demonstrate that our algorithm is practical and efficient.

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Sakamoto, H., Kida, T., Shimozono, S. (2004). A Space-Saving Linear-Time Algorithm for Grammar-Based Compression. In: Apostolico, A., Melucci, M. (eds) String Processing and Information Retrieval. SPIRE 2004. Lecture Notes in Computer Science, vol 3246. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30213-1_33

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  • DOI: https://doi.org/10.1007/978-3-540-30213-1_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23210-0

  • Online ISBN: 978-3-540-30213-1

  • eBook Packages: Springer Book Archive

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