1995
DOI: 10.1016/0020-0190(95)00025-8
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Random generation of words in an algebraic language in linear binary space

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Cited by 21 publications
(13 citation statements)
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“…Ambiguous grammars are considered in [2], but in a different way. Other references on random generations of words of context-free languages are [2,10,11,13], however these works do not consider the enumeration problem. Can one enumerate with linear delay finite parts of context-free languages L, say L[n] or L (n) in lexicographic order?…”
mentioning
confidence: 99%
“…Ambiguous grammars are considered in [2], but in a different way. Other references on random generations of words of context-free languages are [2,10,11,13], however these works do not consider the enumeration problem. Can one enumerate with linear delay finite parts of context-free languages L, say L[n] or L (n) in lexicographic order?…”
mentioning
confidence: 99%
“…Then, using the recursive method of Flajolet, Zimmerman, and Van Cutsem (1994) (which can be seen as a wide generalization to combinatorial structures of what Hickey and Cohen (1983) did for context-free grammars), such paths of length n can be generated in O(n ln n) average time. Goldwurm (1995) proved that this can be done with the same time complexity, with only O(n) memory. The Boltzmann method introduced by Duchon, Flajolet, Louchard, and Schaeffer (2004) is also a way to get a linear average time random generator for paths of length within [(1 − )n, (1 + )n].…”
Section: Uniform Random Generationmentioning
confidence: 95%
“…Using a grammar to produce bicolored rooted ordered trees with n nodes where all the nodes of the last branch are colored white, and using Goldwurm's algorithm [17], a random outerplanar map can be generated uniformly with O(n) space and O(n 2 ) average time. Using Floating-Point Arithmetic [12], this average time complexity can be reduced to O(n 1+ǫ ).…”
Section: Introductionmentioning
confidence: 99%