![]() We will explain what a good random number generator is in a moment and explain briefly how these generators work. However, because Monte Carlo methods rely mostly on being able to generate random numbers (often with a given PDF), it is really important to mention that having a good random number generator is important to guarantee the quality of the output of the Monte Carlo method. We don't intend, at least in this version of the lesson, to talk about the topic of random number generators in detail. Generating (Pseudo-)Random Numbers on a Computer Check the lesson Value Noise and Procedural Patterns and Perlin Noise to learn about noise as a procedurally generated pattern. However, we won't be talking about noise in this lesson (noise as in the noise of the street, not the noise in your image produced by Monte Carlo methods). The topic of random number generators is also related to the concept of noise generation. Generating Random Numbers Reading time: 12 mins. ![]() Variance Reduction Methods: a Quick Introduction to Quasi Monte Carlo.Variance Reduction Methods: a Quick Introduction to Importance Sampling. ![]() ![]()
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