Theory of Computation
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The work Theory of Computation represents a distinct intellectual or artistic creation found in University of Oklahoma Libraries. This resource is a combination of several types including: Work, Language Material, Books.
The Resource
Theory of Computation
Resource Information
The work Theory of Computation represents a distinct intellectual or artistic creation found in University of Oklahoma Libraries. This resource is a combination of several types including: Work, Language Material, Books.
 Label
 Theory of Computation
 Statement of responsibility
 by Dexter C. Kozen
 Language

 eng
 eng
 Summary
 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 indepth coverage of both classical and contemporary approaches in one useful, concise volume • Organized into readily applicable, selfcontained 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 firstyear 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 classtested 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
 Dewey number
 511.352
 http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsaut
 79LgLwItbKo
 LC call number
 QA75.576.95
 Literary form
 non fiction
 Nature of contents
 dictionaries
 Series statement
 Texts in Computer Science,
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