Monte Carlo Simulation — a practical guide | 就愛喝咖啡
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2022年1月30日—MonteCarloSimulation(orMethod)isaprobabilisticnumericaltechniqueusedtoestimatetheoutcomeofagiven,uncertain(stochastic) ...
![Monte Carlo Simulation — a practical guide](https://i.imgur.com/B2oemyF.jpg)
Monte Carlo Simulation (or Method) is a probabilistic numerical technique used to estimate the outcome of a given, uncertain (stochastic) process. This means it’s a method for simulating events that cannot be modelled implicitly. This is usually a case when we have a random variables in our processes.
In this article, I give you a brief background of this technique, I show what steps you have to follow to implement it and, at the end, there will be two examples of a problems solved using Monte Carlo in Python programming language.
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![](https://i.imgur.com/B2oemyF.jpg)
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