RES.18-010 | Spring 2020 | Undergraduate

A Vision of Linear Algebra


Part 4: Eigenvalues and Eigenvectors


Eigenvalues and eigenvectors are a way to look deeper into the matrix. They have applications across all engineering and science disciplines including graphs and networks.

Slides Used in this Video: Slides 20 through 23

Instructor: Gilbert Strang

Course Info

As Taught In
Spring 2020
Learning Resource Types
Lecture Videos
Online Textbook