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Titlebook: Computability and Complexity Theory; Steven Homer,Alan L. Selman Textbook 20011st edition Springer Science+Business Media New York 2001 Au

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發(fā)表于 2025-3-21 16:43:01 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computability and Complexity Theory
編輯Steven Homer,Alan L. Selman
視頻videohttp://file.papertrans.cn/233/232028/232028.mp4
叢書名稱Texts in Computer Science
圖書封面Titlebook: Computability and Complexity Theory;  Steven Homer,Alan L. Selman Textbook 20011st edition Springer Science+Business Media New York 2001 Au
描述The theory of computing provides computer science with concepts, models, and formalisms for reasoning about both the resources needed to carry out computa- tions and the efficiency of the computations that use these resources. lt provides tools to measure the difficulty of combinatorial problems both absolutely and in comparison with other problems. Courses in this subject help students gain an- alytic skills and enable them to recognize the limits of computation. For these reasons, a course in the theory of computing is usually required in the graduate computer science curriculum. The barder question to address is which topics such a course should cover. We believe that students should learn the fundamental models of computation, the limitations of computation, and the distinctions between feasible and intractable. In particular, the phenomena ofNP-completeness and NP-hardness have pervaded much of science and transformed computer science. One option is to survey a large nurober of theoretical subjects, typically focusing on automata and formal languages. However, these subjects are less important to theoretical computer sci- ence, and to computer science as a whole, now than in t
出版日期Textbook 20011st edition
關(guān)鍵詞Automat; automata; automata theory; complexity; complexity theory; computability theory; computer; computer
版次1
doihttps://doi.org/10.1007/978-1-4757-3544-4
isbn_ebook978-1-4757-3544-4Series ISSN 1868-0941 Series E-ISSN 1868-095X
issn_series 1868-0941
copyrightSpringer Science+Business Media New York 2001
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 21:36:52 | 只看該作者
Textbook 20011st editionaded much of science and transformed computer science. One option is to survey a large nurober of theoretical subjects, typically focusing on automata and formal languages. However, these subjects are less important to theoretical computer sci- ence, and to computer science as a whole, now than in t
板凳
發(fā)表于 2025-3-22 02:13:33 | 只看該作者
1868-0941 ry out computa- tions and the efficiency of the computations that use these resources. lt provides tools to measure the difficulty of combinatorial problems both absolutely and in comparison with other problems. Courses in this subject help students gain an- alytic skills and enable them to recogniz
地板
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Introduction to Complexity Theory, have no practical solutions and provides a way of anticipating difficulties involved in solving problems of certain types. The classification is quantitative and is intended to investigate what resources are necessary (lower bounds) and what resources are sufficient (upper bounds) to solve various problems.
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Nondeterminism and NP-Completeness,del. The question then becomes whether the efficiency the additional power provides is really due to the new model or whether the added efficiency could have been attained without the additional resources.
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Satoshi Yoshida,Hiroyuki Yoshimotoonships between the central standard complexity classes we defined in the previous chapter. In order to begin this study we need to understand some simple assertions that involve the behavior of functions at limits, so let’s review these now.
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