New Topics in Theoretical Computer Science

New Topics in Theoretical Computer Science
Author: Oleg N. Terikhovsky
Publisher: Nova Publishers
Total Pages: 346
Release: 2008
Genre: Computers
ISBN: 9781604561005


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Theoretical computer science focuses on the more abstract, logical and mathematical aspects of computing, such as the theory of computation, analysis of algorithms and semantics of programming languages. This new book presents the latest research in the field from around the globe.


New Topics in Theoretical Computer Science
Language: en
Pages: 346
Authors: Oleg N. Terikhovsky
Categories: Computers
Type: BOOK - Published: 2008 - Publisher: Nova Publishers

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Theoretical computer science focuses on the more abstract, logical and mathematical aspects of computing, such as the theory of computation, analysis of algorit
The Nature of Computation
Language: en
Pages: 1498
Authors: Cristopher Moore
Categories: Science
Type: BOOK - Published: 2011-08-11 - Publisher: OUP Oxford

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Computational complexity is one of the most beautiful fields of modern mathematics, and it is increasingly relevant to other sciences ranging from physics to bi
A Basis for Theoretical Computer Science
Language: en
Pages: 228
Authors: M.A. Arbib
Categories: Computers
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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Computer science seeks to provide a scientific basis for the study of inform a tion processing, the solution of problems by algorithms, and the design and progr
Gems of Theoretical Computer Science
Language: en
Pages: 318
Authors: Uwe Schöning
Categories: Computers
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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This book assembles some of the most important problems and solutions in theoretical computer science-from computability, logic, circuit theory, and complexity.
Computational Complexity
Language: en
Pages: 609
Authors: Sanjeev Arora
Categories: Computers
Type: BOOK - Published: 2009-04-20 - Publisher: Cambridge University Press

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New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students.