Titlebook: Insect Accessory Reproductive Structures; Function, Structure, M. S. Kaulenas Book 1992 Springer-Verlag Berlin Heidelberg 1992 Orthoptera.O

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wn that these automata accept context-free languages only. We investigate the descriptional complexity of deterministic limited automata accepting unary languages. Since these languages are necessarily regular, we study the cost in the number of states when a .-limited automaton is simulated by fini

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M. S. Kaulenas an automaton with the minimal number of states. The state complexity is the size of a minimal automaton recognizing a regular language in the usual sense. There exist regular ideal languages whose state complexity is exponentially larger than its reset complexity. We call an automaton sync-maximal,

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M. S. Kaulenaston (DFA) . with . states recognizing a language . over ., we consider the problem of how many states we need for an automaton . that decides membership in ., the binary coded version of .. Namely, . accepts binary inputs belonging to . and rejects binary inputs belonging to ., where . is the comple

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M. S. Kaulenasmore, when the counter is bounded by a constant, its value cannot be limited by any recursive function in the size of the machine. We consider three measures: the costs of all computations (. measure), all accepting computations (. measure), and the least expensive accepting computation (. measure).

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M. S. Kaulenasmore, when the counter is bounded by a constant, its value cannot be limited by any recursive function in the size of the machine. We consider three measures: the costs of all computations (. measure), all accepting computations (. measure), and the least expensive accepting computation (. measure).

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978-3-642-84082-1Springer-Verlag Berlin Heidelberg 1992

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Insect Accessory Reproductive Structures978-3-642-84080-7Series ISSN 0720-1842

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Zoophysiologyhttp://image.papertrans.cn/i/image/467689.jpg

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https://doi.org/10.1007/978-3-642-84080-7Orthoptera; Ovar; development; insects; membrane; ovary; protein; protein synthesis; reproduction; reproducti