Computational Probability: Algorithms and Applications in the Mathematical Sciences (International Series in Operations Research & Management Science)

John H. Drew, Diane L. Evans, Andrew G. Glen, Lawrence M. Leemis

  • 出版商: Springer
  • 出版日期: 2016-12-22
  • 售價: $5,540
  • 貴賓價: 9.5$5,263
  • 語言: 英文
  • 頁數: 336
  • 裝訂: Hardcover
  • ISBN: 3319433210
  • ISBN-13: 9783319433219
  • 相關分類: Algorithms-data-structures
  • 海外代購書籍(需單獨結帳)

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商品描述

This new edition includes the latest advances and developments in computational probability involving A Probability Programming Language (APPL). The book examines and presents, in a systematic manner, computational probability methods that encompass data structures and algorithms. The developed techniques address problems that require exact probability calculations, many of which have been considered intractable in the past. The book addresses the plight of the probabilist by providing algorithms to perform calculations associated with random variables. 

 
Computational Probability: Algorithms and Applications in the Mathematical Sciences, 2nd Edition begins with an introductory chapter that contains short examples involving the elementary use of APPL. Chapter 2 reviews the Maple data structures and functions necessary to implement APPL. This is followed by a discussion of the development of the data structures and algorithms (Chapters 3–6 for continuous random variables and Chapters 7–9 for discrete random variables) used in APPL. The book concludes with Chapters 10–15 introducing a sampling of various applications in the mathematical sciences. This book should appeal to researchers in the mathematical sciences with an interest in applied probability and instructors using the book for a special topics course in computational probability taught in a mathematics, statistics, operations research, management science, or industrial engineering department.

商品描述(中文翻譯)

這個新版本包含了涉及概率程式語言(A Probability Programming Language, APPL)的計算概率最新進展和發展。本書以系統化的方式檢視和呈現計算概率方法,涵蓋數據結構和演算法。所開發的技術針對需要精確概率計算的問題,許多這些問題在過去被認為是無法處理的。本書通過提供與隨機變數相關的計算演算法,解決了概率學家的困境。

《計算概率:數學科學中的演算法與應用(第二版)》以一章介紹開始,該章包含涉及APPL基本使用的簡短範例。第二章回顧了實現APPL所需的Maple數據結構和函數。接下來討論了在APPL中使用的數據結構和演算法的開發(第三至六章針對連續隨機變數,第七至九章針對離散隨機變數)。本書以第十至十五章結束,介紹數學科學中各種應用的抽樣。本書應該會吸引對應用概率感興趣的數學科學研究者,以及在數學、統計、運籌學、管理科學或工業工程系教授計算概率特別主題課程的教師。