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Titlebook: Automata Networks; LITP Spring School o C. Choffrut Conference proceedings 1988 Springer-Verlag Berlin Heidelberg 1988 algorithms.automata.

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期刊全稱Automata Networks
期刊簡稱LITP Spring School o
影響因子2023C. Choffrut
視頻videohttp://file.papertrans.cn/167/166181/166181.mp4
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: Automata Networks; LITP Spring School o C. Choffrut Conference proceedings 1988 Springer-Verlag Berlin Heidelberg 1988 algorithms.automata.
影響因子This volume contains the proceedings of the 14th Spring School of the LITP (Laboratoire d`Informatique Théorique et de Programmation, Université Paris VI-VII, CNRS) held May 12-16, 1986 in Argelès-Village on the French Catalan coast. This meeting was organized by C. Choffrut, M. Nivat, F. Robert, P. Sallé and gathered a hundred participants. The proceedings of the last two Spring Schools have already been published in this series and deal with "Automata on Infinite Words" (LNCS 192) and "Combinators and Functional Programming Languages" (LNCS 242). The purpose of this yearly meeting is to present the state of the art in a specific topic which has gained considerable maturity. The field chosen this year was the theory of automata networks. Though the content of this book is essentially restricted to computer science aspects of the topic, illustrations were given at the meeting on how the model of cellular automata could be used to solve problems in statistical, fluid and solid state mechanics. Applications to biology with growth models also exist.
Pindex Conference proceedings 1988
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An overview of the firing squad synchronization problem,
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Heike K?ckler,Anne Roll,Helmut Hildebrandtgs which can not be solved using the previous array. We introduce the well-known Gauss-Jordan algorithm to solve this general class of problems, and we show how to map it onto a systolic array whose performances overcome those of all the systolic arrays previously introduced in the literature.
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Systolic algorithms for path-finding problems,gs which can not be solved using the previous array. We introduce the well-known Gauss-Jordan algorithm to solve this general class of problems, and we show how to map it onto a systolic array whose performances overcome those of all the systolic arrays previously introduced in the literature.
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Andrea J. Appel,Dietmar Jazbinsekvision these methods as capable of automatically generate predicates characteristic of the set of examples, which would allow to use them as first steps in more classical Al systems (Expert systems for example).
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