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Efficient reduction of nondeterministic automata with application to language inclusion testing

We present efficient algorithms to reduce the size of nondeterministic B\"uchi word automata (NBA) and nondeterministic finite word automata (NFA), while retaining their languages. Additionally, we describe methods to solve PSPACE-complete automata problems like language universality, equivalence, a...

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書誌詳細
主要な著者: Lorenzo Clemente, Richard Mayr
フォーマット: Artigo
言語:Inglês
出版事項: Logical Methods in Computer Science e.V. 2019-02-01
シリーズ:Logical Methods in Computer Science
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オンライン・アクセス:https://lmcs.episciences.org/4108/pdf
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