Computational Complexity: A Conceptual Perspective / Edition 1

Computational Complexity: A Conceptual Perspective / Edition 1

by Oded Goldreich
ISBN-10:
052188473X
ISBN-13:
9780521884730
Pub. Date:
04/28/2008
Publisher:
Cambridge University Press
ISBN-10:
052188473X
ISBN-13:
9780521884730
Pub. Date:
04/28/2008
Publisher:
Cambridge University Press
Computational Complexity: A Conceptual Perspective / Edition 1

Computational Complexity: A Conceptual Perspective / Edition 1

by Oded Goldreich

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Overview

This book offers a comprehensive perspective to modern topics in complexity theory, which is a central field of the theoretical foundations of computer science. It addresses the looming question of what can be achieved within a limited amount of time with or without other limited natural computational resources. Can be used as an introduction for advanced undergraduate and graduate students as either a textbook or for self-study, or to experts, since it provides expositions of the various sub-areas of complexity theory such as hardness amplification, pseudorandomness and probabilistic proof systems.

Product Details

ISBN-13: 9780521884730
Publisher: Cambridge University Press
Publication date: 04/28/2008
Edition description: New Edition
Pages: 632
Product dimensions: 7.20(w) x 10.10(h) x 1.50(d)

About the Author

Oded Goldreich is a Professor of Computer Science at the Weizmann Institute of Science and an Incumbent of the Meyer W. Weisgal Professorial Chair. He is an editor for the SIAM Journal on Computing, the Journal of Cryptology, and Computational Complexity and previously authored the books Modern Cryptography, Probabalistic Proofs and Pseudorandomness and the two-volume work Foundations of Cryptography.

Table of Contents

1. Introduction and preliminaries; 2. P, NP and NP-completeness; 3. Variations on P and NP; 4. More resources, more power?; 5. Space complexity; 6. Randomness and counting; 7. The bright side of hardness; 8. Pseudorandom generators; 9. Probabilistic proof systems; 10. Relaxing the requirements; Epilogue; Appendix A. Glossary of complexity classes; Appendix B. On the quest for lower bounds; Appendix C. On the foundations of modern cryptography; Appendix D. Probabilistic preliminaries and advanced topics in randomization; Appendix E. Explicit constructions; Appendix F. Some omitted proofs; Appendix G. Some computational problems.
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