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.
CITATION STYLE
Schlick, T. (2010). Monte Carlo Techniques. In Interdisciplinary Applied Mathematics (Vol. 21, pp. 385–423). Springer Nature. https://doi.org/10.1007/978-1-4419-6351-2_12
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