Computational Complexity And Property Testing

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Introduction to Property Testing

Introduction to Property Testing
Author :
Publisher : Cambridge University Press
Total Pages : 473
Release :
ISBN-10 : 9781107194052
ISBN-13 : 1107194059
Rating : 4/5 (059 Downloads)

Book Synopsis Introduction to Property Testing by : Oded Goldreich

Download or read book Introduction to Property Testing written by Oded Goldreich and published by Cambridge University Press. This book was released on 2017-11-23 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: An extensive and authoritative introduction to property testing, the study of super-fast algorithms for the structural analysis of large quantities of data in order to determine global properties. This book can be used both as a reference book and a textbook, and includes numerous exercises.


Introduction to Property Testing Related Books

Introduction to Property Testing
Language: en
Pages: 473
Authors: Oded Goldreich
Categories: Computers
Type: BOOK - Published: 2017-11-23 - Publisher: Cambridge University Press

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An extensive and authoritative introduction to property testing, the study of super-fast algorithms for the structural analysis of large quantities of data in o
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This volume contains a collection of studies in the areas of complexity theory and property testing. The 21 pieces of scientific work included were conducted at
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Type: BOOK - Published: 2009-04-20 - Publisher: Cambridge University Press

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New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students.
Computational Complexity and Property Testing
Language: en
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Authors: Oded Goldreich
Categories: Computational complexity
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This volume contains a collection of studies in the areas of complexity theory and property testing. The 21 pieces of scientific work included were conducted at
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This book offers a comprehensive perspective to modern topics in complexity theory, which is a central field of the theoretical foundations of computer science.