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Titlebook: Concise Guide to Computation Theory; Akira Maruoka Textbook 2011 Springer-Verlag London Limited 2011

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書目名稱Concise Guide to Computation Theory
編輯Akira Maruoka
視頻videohttp://file.papertrans.cn/236/235100/235100.mp4
概述Presents a detailed introduction to the theory of computation, complete with concise explanations of the mathematical prerequisites.Provides end-of-chapter problems with solutions, in addition to chap
圖書封面Titlebook: Concise Guide to Computation Theory;  Akira Maruoka Textbook 2011 Springer-Verlag London Limited 2011
描述This textbook presents a thorough foundation to the theory of computation. Combining intuitive descriptions and illustrations with rigorous arguments and detailed proofs for key topics, the logically structured discussion guides the reader through the core concepts of automata and languages, computability, and complexity of computation. Topics and features: presents a detailed introduction to the theory of computation, complete with concise explanations of the mathematical prerequisites; provides end-of-chapter problems with solutions, in addition to chapter-opening summaries and numerous examples and definitions throughout the text; draws upon the author’s extensive teaching experience and broad research interests; discusses finite automata, context-free languages, and pushdown automata; examines the concept, universality and limitations of the Turing machine; investigates computational complexity based on Turing machines and Boolean circuits, as well as the notion of NP-completeness.
出版日期Textbook 2011
版次1
doihttps://doi.org/10.1007/978-0-85729-535-4
isbn_softcover978-1-4471-5816-5
isbn_ebook978-0-85729-535-4
copyrightSpringer-Verlag London Limited 2011
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Turing Machineat model to clarify what a mechanical process computes. We can be sure that what a Turing machine can compute is considered to be computed mechanically. The point of Turing’s argument is its converse: what can be computed mechanically can be computed by a Turing machine. Turing developed arguments to support this direction of thought.
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Lecture Notes in Networks and Systemshatever it is, as “computation.” What to compute is formalized as a ., whereas how to compute it is formalized as a . or an .. What is defined as a field within which an algorithm works is a .. Once a computational model is defined, a set of basic moves that are performed is fixed as one step. Under
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Roman Boutellier,Rochus A. Koblernd Japanese, etc. The languages that we study in this book belong to the former group, and in this chapter we study context-free languages in the former group. A?regular language studied in the previous chapter is defined to be the language that a finite automaton .. In this chapter, we introduce a
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Advances in Distribution Logisticsushdown automaton, which can be obtained by giving a nondeterministic finite automaton a memory component called a .. The stack memorizes an arbitrarily long string, but has the restriction that a symbol must be read and written at one end of the string. It will be shown that a pushdown automaton an
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