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 randomnumber 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. Popularmath writer Paul Nahin challenges readers to solve twentyone difficult but fun problems, from determining the odds of coinflipping 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 linebyline walkthroughs of a MATLAB code for each problem. Digital Dice will appeal to anyone who enjoys popular math or computer science. To view this DRM protected ebook on your desktop or laptop you will need to have Adobe Digital Editions installed. It is a free software. We also strongly recommend that you sign up for an AdobeID at the Adobe website. For more details please see FAQ 1&2. To view this ebook on an iPhone, iPad or Android mobile device you will need the BlueFire Reader or Txtr app. These are free, too. For more details see this article. SHARE    or call in the US toll free 18888669150 product ID: 105072 
Ebook Details 

Pages:  276 
Size:  8.6 MB 
Publisher:  Princeton University Press 
Date published:  Apr 2011 
ISBN:  9781400839292 
DRM Settings 

Copying:  not allowed  Printing:  not allowed  Read Aloud:  not allowed 
