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. . . . . Books ship from the US and Ireland.

Bestandsnummer des Verk�ufers V9780471439608

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Bibliografische Details

Titel: Problem Solving in Automata, Languages and Complexity
Verlag: John Wiley and Sons Ltd
Erscheinungsjahr: 2001
Sprache: Englisch
ISBN-10: 0471439606
ISBN-13: 9780471439608
Einband: Hardcover
Zustand: New

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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.

�ber die Autorin bzw. den Autor

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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