RES.18-010 | Spring 2020 | Undergraduate

A 2020 Vision of Linear Algebra


Part 3: Orthogonal Vectors


Professor Strang describes in detail orthogonal vectors and matrices and subspaces. He explains Gram-Schmidt orthogonalization, as well as the Least Squares method for line fitting and non-square matrices.

Slides Used in this Video: Slides 15 through 19

Instructor: Gilbert Strang

Course Info

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