Summary
Text-compression problems are considered where substrings are substituted by code-words according to a static dictionary such that the original text is encoded by a shorter code sequence.
We complete the worst-case analysis of an earlier studied on-line heuristic and introduce a new efficient algorithm which maximizes the local compaction ratio.
Upper bounds are derived for the compaction ratio between on-line heuristics and the optimal encoding for different types of dictionaries.
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References
J. Békési, G. Galambos, U. Pferschy and G.J. Woeginger, Greedy algorithms for on-line data compression, Report 276-93, Mathematical Institute, TU Graz, Austria 1993.
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© 1995 Springer-Verlag Berlin Heidelberg
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Békési, J., Galambos, G., Pferschy, U., Woeginger, G.J. (1995). Greedy Algorithms for On-Line Data Compression. In: Derigs, U., Bachem, A., Drexl, A. (eds) Operations Research Proceedings 1994. Operations Research Proceedings, vol 1994. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-79459-9_15
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DOI: https://doi.org/10.1007/978-3-642-79459-9_15
Publisher Name: Springer, Berlin, Heidelberg
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