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Science/Engineering Digital Dice: Computational Solutions to Practical Probability Problems

Posted on 2010-03-16




Name:Science/Engineering Digital Dice: Computational Solutions to Practical Probability Problems
ASIN/ISBN:0691126984
Language:English
File size:2 Mb
Publisher: Princeton University
Pages: 276
Publish Date: 2008-03-03
ISBN: 0691126984
File Size: 2 MB
Other Info: DJVU
   Science/Engineering Digital Dice: Computational Solutions to Practical Probability Problems

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Digital Dice: Computational Solutions to Practical Probability Problems

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 what Digital 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.

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