Lectures related to Subspaces, Spectra, and Projections

Covers the concept of polynomial characteristic of a matrix and its relation to eigenvalues.

Covers the Tucker decomposition and its applications in data compression, explaining the notion of multilinear rank and the HOSVD method.

Explores the spectral theorem, Coxeter graphs, eigenvalues, and determinants of positive definite matrices.

Covers the concept of convex functions and their applications in optimization problems.