Property Testing: Problems and Techniques

Bhattacharyya, Arnab, Yoshida, Yuichi

  • 出版商: Springer
  • 出版日期: 2023-03-10
  • 售價: $2,940
  • 貴賓價: 9.5$2,793
  • 語言: 英文
  • 頁數: 427
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9811686246
  • ISBN-13: 9789811686245
  • 海外代購書籍(需單獨結帳)

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商品描述

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.

商品描述(中文翻譯)

本書介紹了在屬性測試中的重要結果和技巧,其中目標是設計算法以在次線性時間甚至常數時間內判斷其輸入是否滿足預定屬性,即時間與輸入大小無關。

本書分為三個部分。第一部分介紹了屬性測試的基礎知識。第二部分研究了對字符串、圖形、函數和約束滿足問題進行特定屬性測試的方法。還包括對實數向量和矩陣的測試。第三部分更加高級,解釋了一般條件,包括完全特徵描述,以及在這些條件下屬性是常數查詢可測試的。

本書的第一部分和第二部分適用於計算機科學研究生的一年級學生。對於具備適當背景的本科生也是可理解的。第三部分可供研究人員或有志於深入理解屬性測試的研究生使用。

作者簡介

Arnab Bhattacharyya obtained his Ph.D. from the Massachusetts Institute of Technology in 2012 and is currently an assistant professor at the National University of Singapore. He is a recipient of the Singapore National Research Foundation Fellowship for AI (2019) and the Ramanujan Fellowship in India (2014). His research area is in the theoretical foundations of data science.

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.

作者簡介(中文翻譯)

Arnab Bhattacharyya於2012年從麻省理工學院獲得博士學位,目前擔任新加坡國立大學的助理教授。他是新加坡國家研究基金會人工智慧獎學金(2019年)和印度拉馬努金獎學金(2014年)的獲獎者。他的研究領域是數據科學的理論基礎。

Yuichi Yoshida於2012年從京都大學獲得博士學位,目前擔任日本國立情報學研究所的副教授。他於2012年獲得JSPS Ikushi獎,並於2017年獲得日本教育文化體育科學技術部部長表彰(青年科學家獎)。他的研究興趣是大數據的理論基礎。