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Anonymous
Posted August 29, 2006
Apparently, the only way to understand this book is by having gotten your PhD in the 1950's. Completely incomprehensible, stilted, and pompous, this book is the long sought after cure for insomnia. If you are a professor, please do not choose this book for your class. If you are a student, pray.
Was this review helpful? Yes NoThank you for your feedback. Report this reviewThank you, this review has been flagged.Anonymous
Posted February 19, 2006
Very difficult to follow book. The 'examples' in each chapter might as well not be there. They are useless in helping to describe the concepts. Answers to exercises are no where to be found so you can never even check your answers to make sure you get them. Worst book I've had my whole college career.
Was this review helpful? Yes NoThank you for your feedback. Report this reviewThank you, this review has been flagged.Anonymous
Posted April 30, 2001
Nothing is good in this book. Explaination is not good and very brief. The only people who can understand it are the professors who taught the course. The students cannot understand this book and there is no answer key. Therefore nobody knows if the question they did in the book is good. Overall, this is the worst book that I ever encounter in my College carrer.
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More About This Textbook
Overview
Editorial Reviews
Booknews
As with the 1973 edition, Lewis (computer science, Harvard U.) and Papadamitriou (computer science, U. of California, Berkeley) provide an undergraduate text introducing the classical and contemporary theory of computation. While the treatment is mathematical, the viewpoint is that of computer science. Taking into account the generations of changes in computer science in the interim, their treatment of Turing machines, algorithm analysis, NP-completeness, and finite automata have been revised. Other topics covered are: sets, relations, and languages; context-free languages; undecidability; and computational complexity. Annotation c. by Book News, Inc., Portland, Or.Product Details
Related Subjects
Table of Contents
2. Finite Automata.
3. Context-free Languages.
4. Turing Machines.
5. Undecidability.
6. Computational Complexity.
7. NP-completeness.
Index.