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Computing Weights

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Implementation and Application of Automata (CIAA 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7982))

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Abstract

This paper introduces an efficient weighted regognition algorithm. It is based on a suitable tree structure called ZPC without building the position automaton. The ZPC-structure results from the compact language and the polynomial structure of weighted expressions. We show that the time complexity of this algorithm is the best oneuntil now.

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Abbad, H., Laugerotte, É. (2013). Computing Weights. In: Konstantinidis, S. (eds) Implementation and Application of Automata. CIAA 2013. Lecture Notes in Computer Science, vol 7982. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39274-0_4

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  • DOI: https://doi.org/10.1007/978-3-642-39274-0_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39273-3

  • Online ISBN: 978-3-642-39274-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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