Property Testing
Language: English
Published by Springer, Berlin|Springer Nature Singapore|Springer, 2023
- Softcover
- New
Condition: New
£ 55.98
Quantity: Over 20 available
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Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book introduces important results and techniques in property testing, where the goal is to design algorithms that decide whether their input satisfies a predetermined property in sublinear time, or even in constant time - that is, time is independen.
Seller Inventory # 780397018
- Title
- Property Testing
- Author
- Bhattacharyya, Arnab|Yoshida, Yuichi
- Publisher
- Springer, Berlin|Springer Nature Singapore|Springer
- Publication year
- 2023
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 9811686246
- ISBN 13
- 9789811686245
- Seller catalogs
- Importe
This book introduces important results and techniques in property testing, where the goal is to design algorithms that decide whether their input satisfies a predetermined property in sublinear time, or even in constant time – that is, time is independent of the input size.
This book consists of three parts. The first part provides an introduction to the foundations of property testing. The second part studies the testing of specific properties on strings, graphs, functions, and constraint satisfaction problems. Vectors and matrices over real numbers are also covered. The third part is more advanced and explains general conditions, including full characterizations, under which properties are constant-query testable.
The first and second parts of the book are intended for first-year graduate students in computer science. They should also be accessible to undergraduate students with the adequate background. The third part can be used by researchers or ambitious graduate students who want to gain a deeper theoretical understanding of property testing.
"Synopsis" may belong to another edition of this title.
About the Author
Yuichi Yoshida received a Ph.D. from Kyoto University in 2012 and is currently an associate professor at National Institute of Informatics, Japan. He is awarded JSPS Ikushi Prize in 2012 and the Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology (The Young Scientists’ Prize) in 2017. His research interest is theoretical foundation of big data.
"About the title" may belong to another edition of this title.
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