5.4 - 2D Optimization - Gradient Descent

Abstract

In this lesson you'll learn about how to apply the gradient decent/ascent method to find optimum min and max of a 2D function and learn how to code a gradient descent code

This file is part of a series of video lectures for Dr. Siddharth Misra’s class, Numerical Methods for Engineering Computation, at the University of Oklahoma. The video series demonstrates how to develop numerical methods using C++, Python, and MATLAB and shows the codes and methods being developed from the scratch. Students are encouraged to develop their own codes along with the videos. The series is numbered as follows:

1.1 – 1.8

2.1 – 2.3

3.1 – 3.7

4.1 – 4.7

5.1 – 5.5

6.1 – 6.4

7.1 – 7.5

8.1 – 8.4