Video details loadedContinue
HomeA Vision of Linear AlgebraPart 3: Orthogonal Vectors
A Vision of Linear Algebra
Video 4 of 10
Part 3: Orthogonal Vectors
14:09
Up Next
Part 4: Eigenvalues and Eigenvectors
Description
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