Скачать или смотреть Automatic Computation of Gradients in Python Using Symbolic Approach - Optimization and Control

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In this optimization, scientific computing, and Python programming tutorial you will learn

(1) How to automatically compute gradients of multivariable functions in Python by using Python's symbolic computation library called SymPy.
(2) How to automatically generate Python functions and how to automatically generate Python scripts that will return the gradients for given input vectors.

The programming techniques that you will learn in this tutorial are very important for the development of optimization, control, and signal processing algorithms. For example, you can use the techniques presented in this video tutorial to implement advanced optimization methods and to automatically define and implement the cost functions and gradients.