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Digital Dice: Computational Solutions to Practical Probability Problems

Digital Dice: Computational Solutions to Practical Probability Problems

Digital Dice: Computational Solutions to Practical Probability Problems Hardback - 2008

by Nahin, Paul J

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Princeton. 2008. Princeton University Press. 1st American Edition. Very Good in Dustjacket. 9780691126982. 276 pages. hardcover. keywords: Mathematics Probability. DESCRIPTION - 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. 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. inventory #36256
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Details

  • Title Digital Dice: Computational Solutions to Practical Probability Problems
  • Author Nahin, Paul J
  • Binding Hardback
  • Edition First Edition
  • Pages 263
  • Volumes 1
  • Language ENG
  • Publisher Princeton University Press, Princeton, NJ
  • Publication date March 20, 2008
  • Illustrated Yes
  • Bookseller's Inventory # 36256
  • ISBN 9780691126982 / 0691126984
  • Weight 1.16 lbs (0.53 kg)
  • Dimensions 9.4 x 6.41 x 0.94 in (23.88 x 16.28 x 2.39 cm)
  • Category Computers - Other Applications
  • Library of Congress subjects Algorithms, Probabilities
  • Library of Congress Catalogue Number 2007060123
  • Dewey Decimal Code 519.207

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Reader reviews for Digital Dice: Computational Solutions to Practical Probability Problems

From the publisher

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.

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.

About the author

Paul J. Nahin is the author of many best-selling popular-math books, including Chases and Escapes, Dr. Euler's Fabulous Formula, When Least is Best, Duelling Idiots and Other Probability Puzzlers, and An Imaginary Tale (all Princeton). He is professor emeritus of electrical engineering at the University of New Hampshire.
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