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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....

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Detalles Bibliográficos
Autor principal: Nahin, Paul J
Lenguaje:eng
Publicado: Princeton Univ. Press 2008
Materias:
Acceso en línea:http://cds.cern.ch/record/1188951
Descripción
Sumario: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-flip