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2010, ISBN: 1849965714
ID: 9612485073
[EAN: 9781849965712], Neubuch, [PU: Springer Okt 2010], This item is printed on demand - Print on Demand Titel. - This textbook is uniquely written with dual purpose. It cover cores material in the foundations of computing for graduate students in computer science and also provides an introduction to some more advanced topics for those intending further study in the area. This innovative text focuses primarily on computational complexity theory: the classification of computational problems in terms of their inherent complexity. The book contains an invaluable collection of lectures for first-year graduates on the theory of computation. Topics and features include more than 40 lectures for first year graduate students, and a dozen homework sets and exercises.In these early years of the 21st Century, researchers in the field of computing are delving ever further into the new possibilities of the science and to the primary tools that form its foundations. The theory behind computation has never been more important. Theory of Computation is a unique textbook that serves the dual purposes of covering core material in the foundations of computing, as well as providing an introduction to some more advanced contemporary topics. This innovative text focuses primarily, although by no means exclusively, on computational complexity theory: the classification of computational problems in terms of their inherent complexity. It incorporates rigorous treatment of computational models, such as deterministic, nondeterministic, and alternating Turing machines; circuits; probabilistic machines; interactive proof systems; automata on infinite objects; and logical formalisms. Although the complexity universe stops at polynomial space in most treatments, this work also examines higher complexity levels all the way up through primitive and partial recursive functions and the arithmetic and analytic hierarchies. Topics and features: Provides in-depth coverage of both classical and contemporary approaches in one useful, concise volume Organized into readily applicable, self-contained primary and secondary lectures Contains more than 180 homework exercises of varying difficulty levels, many with hints and solutions Includes approximation and inapproximation results, and some lower bounds Treats complexity theory and classical recursion theory in a unified framework Advanced undergraduates and first-year graduates in Computer Science or Mathematics will receive a thorough grounding in the core theory of computation and computational complexity, as well as an introduction to advanced contemporary topics for further study. Computing professionals and other scientists interested in learning more about these topics will also find this text extremely useful. Prof. Dexter Kozen teaches at Cornell University, Ithaca, New York, and has comprehensively class-tested this book s content. He authored the highly successful Automata and Computability, which offers an introduction to the basic theoretical models of computability, and The Design and Analysis of Algorithms. 436 pp. Englisch
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ISBN: 9781849965712
ID: 9781849965712
In these early years of the 21st Century, researchers in the field of computing are delving ever further into the new possibilities of the science and to the primary tools that form its foundations. The theory behind computation has never been more important. Theory of Computation is a unique textbook that serves the dual purposes of covering core material in the foundations of computing, as well as providing an introduction to some more advanced contemporary topics. This In these early years of the 21st Century, researchers in the field of computing are delving ever further into the new possibilities of the science and to the primary tools that form its foundations. The theory behind computation has never been more important. Theory of Computation is a unique textbook that serves the dual purposes of covering core material in the foundations of computing, as well as providing an introduction to some more advanced contemporary topics. This innovative text focuses primarily, although by no means exclusively, on computational complexity theory: the classification of computational problems in terms of their inherent complexity. It incorporates rigorous treatment of computational models, such as deterministic, nondeterministic, and alternating Turing machines; circuits; probabilistic machines; interactive proof systems; automata on infinite objects; and logical formalisms. Although the complexity universe stops at polynomial space in most treatments, this work also examines higher complexity levels all the way up through primitive and partial recursive functions and the arithmetic and analytic hierarchies. Topics and features: Provides in-depth coverage of both classical and contemporary approaches in one useful, concise volume Organized into readily applicable, self-contained primary and secondary lectures Contains more than 180 homework exercises of varying difficulty levels, many with hints and solutions Includes approximation and inapproximation results, and some lower bounds Treats complexity theory and classical recursion theory in a unified frameworkAdvanced undergraduates and first-year graduates in Computer Science or Mathematics will receive a thorough grounding in the core theory of computation and computational complexity, as well as an introduction to advanced contemporary topics for further study. Computing professionals and other scientists Textbooks New, Books~~Computers~~Computer Science, Theory-of-Computation~~Dexter-C-Kozen, 999999999, Theory of Computation, Dexter C. Kozen, 1849965714, Springer London, , , , , Springer London
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ISBN: 9781849965712
ID: 19225470
This textbook is uniquely written with dual purpose. It cover cores material in the foundations of computing for graduate students in computer science and also provides an introduction to some more advanced topics for those intending further study in the area. This innovative text focuses primarily on computational complexity theory: the classification of computational problems in terms of. This textbook is uniquely written with dual purpose. It cover cores material in the foundations of computing for graduate students in computer science and also provides an introduction to some more advanced topics for those intending further study in the area. This innovative text focuses primarily on computational complexity theory: the classification of computational problems in terms of their inherent complexity. The book contains an invaluable collection of lectures for first-year graduates on the theory of computation. Topics and features include more than 40 lectures for first year graduate students, and a dozen homework sets and exercises. Books, Computing~~Computer Science, Theory Of Computation~~Book~~9781849965712~~Dexter C. Kozen, , , , , , , , , ,
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ISBN: 9781849965712
ID: 9781849965712
Computer Science; Theory of Computation; Computational Mathematics and Numerical Analysis; Computational Science and Engineering; Computation by Abstract Devices; Algorithm Analysis and Problem Complexity Algorithms, Automat, algorithm, automata, complexity, complexity theory, computer, computer science, construction, logic Books Book (Paperback Initiative), Springer Science+Business Media
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A dual purpose textbook. It is uniquely written to cover core material in the foundations of computing for graduate students in computer science and to provide an introduction to some more advanced topics for those intending further study in the field. Shipping costs:zzgl. Versandkosten, plus shipping costs
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2010, ISBN: 9781849965712
Hardcover, ID: 16179469
Softcover reprint of hardcover 1st ed. 2006, Softcover, Buch, [PU: Springer London Ltd]
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Title: | Theory of Computation |
ISBN: | 9781849965712 |
Details of the book - Theory of Computation
EAN (ISBN-13): 9781849965712
ISBN (ISBN-10): 1849965714
Hardcover
Paperback
Publishing year: 2010
Publisher: Springer-Verlag GmbH
436 Pages
Weight: 0,752 kg
Language: eng/Englisch
Book in our database since 03.04.2011 03:03:23
Book found last time on 03.12.2016 19:02:06
ISBN/EAN: 9781849965712
ISBN - alternate spelling:
1-84996-571-4, 978-1-84996-571-2
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