@inbook{62548f916d9d4e90aa72a6418705c830,
title = "Monte Carlo Techniques",
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.",
keywords = "Detailed Balance, Metropolis Algorithm, Monte Carlo, Monte Carlo Simulation, Random Number Generator",
author = "Tamar Schlick",
note = "Publisher Copyright: {\textcopyright} 2010, Springer Science+Business Media, LLC.",
year = "2010",
doi = "10.1007/978-1-4419-6351-2_12",
language = "English (US)",
series = "Interdisciplinary Applied Mathematics",
publisher = "Springer Nature",
pages = "385--423",
booktitle = "Interdisciplinary Applied Mathematics",
address = "United States",
}