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
theaters Lecture Videos
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