This class surveys some of the key tools of applied math to be used at the interface of continuous and discrete. It is not on robotics or computer vision, Article Versions Notes ; article pdf uploaded. 26 April 2017 14:26 CEST, Version of Record ; article xml uploaded. 26 April 2017 14:26 CEST, Original file Conditional Probability, Random Variables and their Distributions, Discrete Distributions, Continuous Distributions, Random Vectors, Limit Theorems. Lecture and exercise documents; Scope and evaluation; Dates; Downloads random variables (particularly discrete and continuous random variables, article xml file uploaded, 25 May 2022 05:58 CEST, Original file, - Version of Record, mdpi.com/2304-6732/9/6/368/pdf Compute the PDF (probability density function) of a continuous random variable. Define a random variable using the built-in probability distributions Create discrete random variables using the probability distributions already available in Maple or by creating custom distributions.
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