Monte Carlo Techniques

Research output: Chapter in Book/Report/Conference proceedingChapter


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.

Original languageEnglish (US)
Title of host publicationInterdisciplinary Applied Mathematics
PublisherSpringer Nature
Number of pages39
StatePublished - 2010

Publication series

NameInterdisciplinary Applied Mathematics
ISSN (Print)0939-6047
ISSN (Electronic)2196-9973


  • Detailed Balance
  • Metropolis Algorithm
  • Monte Carlo
  • Monte Carlo Simulation
  • Random Number Generator

ASJC Scopus subject areas

  • Applied Mathematics
  • Computational Mathematics
  • Computational Theory and Mathematics
  • Management Science and Operations Research


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