Lectures related to Matrix Operations: Basics and Applications

Covers matrices, linear applications, vector spaces, and bijective functions.

Explores matrix equivalence theorems for systems of equations and least squares solutions.

Covers the basics of linear algebra, including matrix operations and singular value decomposition.

Explores the diagonalization of matrices through eigenvalues and eigenvectors, emphasizing the importance of bases and subspaces.