Monte Carlo method

Monte-Carlo integration works by comparing random points with the value of the function

Monte Carlo methods (or Monte Carlo experiments) are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. They are often used in physical and mathematical problems and are most useful when it is difficult or impossible to use other mathematical methods. Monte Carlo methods are mainly used in three distinct problem classes: optimization, numerical integration, and generating draws from a probability distribution.

单词	Monte Carlo Methods
释义	Monte Carlo Methods 英语例句库 Methods In accordance with Monte Carlo method and measures of disproportionality theory, simulate the adverse drug reaction surveillance data by the random mode. 方法参照蒙特卡罗方法基本思想，基于不相称性测定理论，采用随机模拟的方法对药物不良反应监测数据进行模拟。英语百科 Monte Carlo method Monte Carlo methods (or Monte Carlo experiments) are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. They are often used in physical and mathematical problems and are most useful when it is difficult or impossible to use other mathematical methods. Monte Carlo methods are mainly used in three distinct problem classes: optimization, numerical integration, and generating draws from a probability distribution.
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Monte Carlo Methods

Monte Carlo method