Language theory, automata, and complexity theory are essential topics in the field of computer science. In this volume, two established experts offer practical, accessible coverage of these issues with an emphasis on problem-solving skills. Num Pages: 408 pages, Ill. BIC Classification: UYQL. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 244 x 164 x 28. Weight in Grams: 736. . 2001. 1st. Hardcover. . . . .

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Bibliographic Details

Title: Problem Solving in Automata, Languages and Complexity
Publisher: John Wiley and Sons Ltd
Publication Date: 2001
Language: English
ISBN 10: 0471439606
ISBN 13: 9780471439608
Binding: Hardcover
Condition: New

About this title

Synopsis

Automata and natural language theory are topics lying at the heart of computer science. Both are linked to computational complexity and together, these disciplines help define the parameters of what constitutes a computer, the structure of programs, which problems are solvable by computers, and a range of other crucial aspects of the practice of computer science. In this important volume, two respected authors/editors in the field offer accessible, practice-oriented coverage of these issues with an emphasis on refining core problem solving skills.

About the Author

DING-ZHU DU, PhD, is Professor of Computer Science at the University of Minnesota.

KER-I KO, PhD, is Professor of Computer Science at the State University of New York at Stony Brook. The two are also coauthors of Theory of Computational Complexity (Wiley).

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