Abstract
In previous papers [BT 83] [BT 84] [BT 85], it was indicated how a probabilistic parameter, namely the Bernoullian density, could be computed by means of an explicit formula or numerically with a given precision for several structural types of formal Languages L. We present here two general methods for this computing, a deterministic one and a Monte-Carlo method, using the generating function of the prefix-free language Pref(L) associated with L, and a recognition algorithm for Pref(L) assumed to be context-free. The results are applied for the obtainment of new algorithms for two classical problems : paging and decoding, within a probabilistic framework of language theory.
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Beauquier, J., Thimonier, L. (1985). On formal languages, probabilities, paging and decoding algorithms. In: Budach, L. (eds) Fundamentals of Computation Theory. FCT 1985. Lecture Notes in Computer Science, vol 199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0028790
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DOI: https://doi.org/10.1007/BFb0028790
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