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Inicio  /  Algorithms  /  Vol: 14 Par: 2 (2021)  /  Artículo
ARTÍCULO
TITULO

Approximation Ratios of RePair, LongestMatch and Greedy on Unary Strings

Danny Hucke and Carl Philipp Reh    

Resumen

A grammar-based compressor is an algorithm that receives a word and outputs a context-free grammar that only produces this word. The approximation ratio for a single input word is the size of the grammar produced for this word divided by the size of a smallest grammar for this word. The worst-case approximation ratio of a grammar-based compressor for a given word length is the largest approximation ratio over all input words of that length. In this work, we study the worst-case approximation ratio of the algorithms Greedy, RePair and LongestMatch on unary strings, i.e., strings that only make use of a single symbol. Our main contribution is to show the improved upper bound of ??((log??)8·(loglog??)3) O ( ( log n ) 8 · ( log log n ) 3 ) for the worst-case approximation ratio of Greedy. In addition, we also show the lower bound of 1.34847194? 1.34847194 ? for the worst-case approximation ratio of Greedy, and that RePair and LongestMatch have a worst-case approximation ratio of log2(3) log 2 ( 3 ) .

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