Digital dice: computational solutions to practical probability problems / Paul J Nahin
Material type: TextPublication details: Princeton : Princeton University Press, 2008Description: xi, 263p, 23cmISBN:- 9780691126982
- 519.2076 NAH
Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
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Book | Calcutta | 519.2076 NAH (Browse shelf(Opens below)) | Available | IIMC-124980 |
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519.2076 CAC Exercises in probability | 519.2076 GRI One thousand exercises in probability / | 519.2076 MIL Problems in probability / | 519.2076 NAH Digital dice: | 519.2076 RAH Exercises in probability and statistics / | 519.209 KRU Probabilistic revolution. V 1 / | 519.209 KRU Probabilistic revolution / |
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. The book shows readers how to write elementary computer codes using any common programming language, and provides solutions and line-by-line walk-through of a MATLAB code for each problem.
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