Ding-Zhu Du, Ker-I Ko

Problem Solving in Automata, Languages, and Complexity (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 408
• Erscheinungstermin: 22. März 2004
• Englisch
• ISBN-13: 9780471464082
• Artikelnr.: 37301964

Autorenporträt

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).

Inhaltsangabe

Preface

Leverages

Finite Automata

Context-Free Languages

Turing Machines

Computability Theory

Computational Complexity

NP-Completeness

References

Index

Rezensionen

"...uses a problem-solving approach that makes these computer languages concrete..." (SciTech Book News, Vol. 25, No. 4, December 2001)