RES.18-010 | Spring 2020 | Undergraduate
A 2020 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
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