Linear Algebra with Numpy Functions and Computational Cost (ChEn 263 - Lecture 12)

This video contains a lecture on using Numpy functions to solve linear systems for Chemical Engineering 263 (Undergraduate Numerical Tools) at Brigham Young University. In this lecture I discuss:
(II) The concept of computational cost (14:33)
(III) The concept of asymptotic order in running times (31:42)

In addition, there is an example that accompany this lecture at:

For more information, including lecture notes, example codes and more, please visit the course website: