Stavros Konstantinidis, António Machiavelo, Nelma Moreira, Rogério Reis
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引用次数: 1
Abstract
Partial derivatives are widely used to convert regular expressions to nondeterministic automata. For the word membership problem, it is not strictly necessary to build an automaton. In this paper, we study the size of partial derivatives on the average case. For expressions in strong star normal form, we show that on average and asymptotically the largest partial derivative is at most half the size of the expression. The results are obtained in the framework of analytic combinatorics considering generating functions of parametrised combinatorial classes defined implicitly by algebraic curves. Our average case estimates suggest that a detailed word membership algorithm based directly on partial derivatives should be analysed both theoretically and experimentally.
期刊介绍：
Acta Informatica provides international dissemination of articles on formal methods for the design and analysis of programs, computing systems and information structures, as well as related fields of Theoretical Computer Science such as Automata Theory, Logic in Computer Science, and Algorithmics.
Topics of interest include:
• semantics of programming languages
• models and modeling languages for concurrent, distributed, reactive and mobile systems
• models and modeling languages for timed, hybrid and probabilistic systems
• specification, program analysis and verification
• model checking and theorem proving
• modal, temporal, first- and higher-order logics, and their variants
• constraint logic, SAT/SMT-solving techniques
• theoretical aspects of databases, semi-structured data and finite model theory
• theoretical aspects of artificial intelligence, knowledge representation, description logic
• automata theory, formal languages, term and graph rewriting
• game-based models, synthesis
• type theory, typed calculi
• algebraic, coalgebraic and categorical methods
• formal aspects of performance, dependability and reliability analysis
• foundations of information and network security
• parallel, distributed and randomized algorithms
• design and analysis of algorithms
• foundations of network and communication protocols.
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