Computational Probability: Algorithms and Applications in the Mathematical Sciences - International Series in Operations Research & Management Science 246 (Hardback)John H. Drew (author), Diane L. Evans (author), Andrew G. Glen (author), Lawrence M. Leemis (author)
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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.
Publisher: Springer International Publishing AG
Number of pages: 336
Weight: 831 g
Dimensions: 235 x 155 x 21 mm
Edition: 2nd ed. 2017
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