Introduction to Monte Carlo simulation

S. Raychaudhuri
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引用次数: 537

Abstract

This is an introductory tutorial on Monte Carlo simulation, a type of simulation that relies on repeated random sampling and statistical analysis to compute the results. In this paper, we will briefly describe the nature and relevance of Monte Carlo simulation, the way to perform these simulations and analyze results, and the underlying mathematical techniques required for performing these simulations. We will present a few examples from various areas where Monte Carlo simulation is used, and also touch on the current state of software in this area.
蒙特卡罗模拟入门
这是一个关于蒙特卡罗模拟的入门教程,蒙特卡罗模拟是一种依赖于重复随机抽样和统计分析来计算结果的模拟。在本文中,我们将简要描述蒙特卡罗模拟的性质和相关性,执行这些模拟和分析结果的方法,以及执行这些模拟所需的基础数学技术。我们将从使用蒙特卡罗模拟的各个领域提供一些示例,并触及该领域软件的当前状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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