Digital dice : computational solutions to practical probability problems /

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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
Clasificación:Libro Electrónico
Autor principal: Nahin, Paul J.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Princeton, N.J. ; Oxford : Princeton University Press, ©2013.
Edición:[Pbk. ed.].
Temas:
MATLAB.
MATLAB
Probabilities > Problems, exercises, etc.
Probabilities > Data processing.
Algorithms.
Computer algorithms.
Probabilités > Problèmes et exercices.
Probabilités > Informatique.
Algorithmes.
algorithms.
MATHEMATICS > Probability & Statistics > General.
MATHEMATICS > Recreations & Games.
Computer algorithms
Algorithms
Probabilities
Probabilities > Data processing
Computermathematik
Wahrscheinlichkeitsrechnung
Mathematics.
Physical Sciences & Mathematics.
Mathematical Statistics.
Problems and exercises
Acceso en línea:Texto completo
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.
Descripción Física:1 online resource (xi, 263 pages) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:9781400846115
1400846110

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