Lectures related to Jordan decomposition

Explores Singular Value Decomposition, low-rank approximation, fundamental subspaces, and matrix norms.

Covers the decomposition of matrices into triangular blocks and spectral decomposition.

Covers the LU decomposition algorithm, transforming a matrix into L and U.