2016
DOI: 10.1007/978-3-319-41114-9_4
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On the State Complexity of Partial Derivative Automata For Regular Expressions with Intersection

Abstract: Abstract. Extended regular expressions (with complement and intersection) are used in many applications due to their succinctness. In particular, regular expressions extended with intersection only (also called semi-extended) can already be exponentially smaller than standard regular expressions or equivalent nondeterministic finite automata (NFA). For practical purposes it is important to study the average behaviour of conversions between these models. In this paper, we focus on the conversion of regular expr… Show more

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Cited by 3 publications
(5 citation statements)
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“…Not only they are in general more succinct than other equivalent constructions but also for several operators they are easily defined (e.g. for intersection [4] or tuples [12]). The partial derivative automaton of a regular expression over Σ ⋆ was introduced independently by Mirkin [18] and Antimirov [3].…”
Section: Partial Derivatives Of Regular Expressionsmentioning
confidence: 99%
“…Not only they are in general more succinct than other equivalent constructions but also for several operators they are easily defined (e.g. for intersection [4] or tuples [12]). The partial derivative automaton of a regular expression over Σ ⋆ was introduced independently by Mirkin [18] and Antimirov [3].…”
Section: Partial Derivatives Of Regular Expressionsmentioning
confidence: 99%
“…For regular expressions with intersection the conversion to NFA's has exponential computational complexity [11] and both the size of A pos and A pd can be exponential in the size of the regular expression. On the average case, however, the size of these automata seem to be much smaller [2], and thus feasible for practical applications. In this scenario, algorithms for building A pd using A pos seem worthwhile to develop.…”
Section: Final Remarksmentioning
confidence: 99%
“…Bastos et al [2] showed also that |∂(α)| ≤ 2 |α| Σ −|α|∩−1 + 1 and asymptotically and on average an upper bound for the number of states is (1.056 + o (1)) n , where n is the size of the expression.…”
Section: Preliminariesmentioning
confidence: 99%
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