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study method > modelisation > Monte Carlo simulation

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Monte Carlo simulation  

Definición

  • Monte Carlo simulation, also known as the Monte Carlo method or multiple probability simulation, is a mathematical technique used to estimate the possible outcomes of an uncertain event. The Monte Carlo method was invented by John von Neumann and Stanislaw Ulam during the Second World War to improve decision-making under uncertain conditions. Its name refers to the well-known casino in the city of Monaco, because the element of chance is at the heart of the modelling approach, as in a game of roulette. (Adapted and translated from: https://www.ibm.com/fr-fr/topics/monte-carlo-simulation)

Concepto genérico

Etiquetas alternativas

  • Monte Carlo method

En otras lenguas

  • francés

  • méthode de Monte-Carlo
  • méthode Monte-Carlo
  • simulation de Monte-Carlo
  • simulation de probabilités multiples

URI

http://data.loterre.fr/ark:/67375/QX8-1KXN0T67-M

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