这篇博客介绍了在计算机图形学中，概率密度函数(PDF)和累积分布函数(CDF)的概念。PDF用于计算连续随机变量在特定区间内的概率，而CDF则通过累计样本概率来逼近实际分布。随着样本数量增加，CDF能更精确地反映实际分布。以投掷骰子为例，说明了如何使用CDF计算特定范围内的概率。
参考 ： https://www.scratchapixel.com/lessons/mathematics-physics-for-computer-graphics/monte-carlo-methods-mathematical-foundations
Probability Density Function (PDF)
When a function such as the normal distribution defines a continuous probability distribution (such as the way height is distributed
among an adult popupulation), this function is called a probabilify density function (or pdf). In other words, pdfs are used for
continuous random variables and pmfs are used for discrete random variables. In computer graphics, we almost always deal with
pdfs. In short:
- the
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