Abstract
From Washington D.C. to Wall Street to Los Alamos, statistical techniques termed collectively as Monte Carlo (MC) are powerful problem solvers. Indeed, disciplines as disparate as politics, economics, biology, and high-energy physics rely on MC tools for handling daily tasks.
It is a pollster’s maxim that the truth lies not in any one poll but at the center of gravity of several polls.
Michael R. Kagay, New York Times (Week in Review), 19 October 1998.
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© 2002 Springer Science+Business Media New York
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Schlick, T. (2002). Monte Carlo Techniques. In: Molecular Modeling and Simulation. Interdisciplinary Applied Mathematics, vol 21. Springer, New York, NY. https://doi.org/10.1007/978-0-387-22464-0_11
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DOI: https://doi.org/10.1007/978-0-387-22464-0_11
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4757-5893-1
Online ISBN: 978-0-387-22464-0
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