趣味概率书《数字骰子：实际概率问题的计算解决方案》2013版

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书写得非常生动有趣，可以增进大家对概率论的理解。里面的案例附有Matlab程序源码，可以跟进练习。 第1版是2008年的，这是2013的第2版。大家要是觉得不错，麻烦给个评分吧！谢谢了！
Digital Dice Computational Solutions to Practical Probability Problems.pdf (1.84 MB, 需要: 5 个论坛币)

2013-8-8 21:17:15 上传

趣味概率书
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顺便说一下，这个作者就是《虚数的故事》一书的作者，文笔很生动，大家不妨一读。


Digital Dice: Computational Solutions to Practical Probability Problems (New in Paperback) (Princeton Puzzlers)

288 pages
Publisher: Princeton University Press (March 24, 2013)
Language: English
ISBN-10: 0691158215
ISBN-13: 978-0691158211

Some probability problems are so difficult that they stump the smartest mathematicians. But even the hardest of these problems can often be solved with a computer and a Monte Carlo simulation, in which a random-number generator simulates a physical process, such as a million rolls of a pair of dice. This is whatDigital Dice is all about: how to get numerical answers to difficult probability problems without having to solve complicated mathematical equations.
Popular-math writer Paul Nahin challenges readers to solve twenty-one difficult but fun problems, from determining the odds of coin-flipping games to figuring out the behavior of elevators. Problems build from relatively easy (deciding whether a dishwasher who breaks most of the dishes at a restaurant during a given week is clumsy or just the victim of randomness) to the very difficult (tackling branching processes of the kind that had to be solved by Manhattan Project mathematician Stanislaw Ulam). In his characteristic style, Nahin brings the problems to life with interesting and odd historical anecdotes. Readers learn, for example, not just how to determine the optimal stopping point in any selection process but that astronomer Johannes Kepler selected his second wife by interviewing eleven women.
The book shows readers how to write elementary computer codes using any common programming language, and provides solutions and line-by-line walk-throughs of a MATLAB code for each problem.
Digital Dice will appeal to anyone who enjoys popular math or computer science. In a new preface, Nahin wittily addresses some of the responses he received to the first edition.


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