Lectures related to Matrix Factorization: Least Squares Method

Explores properties of 3x3 matrices with real coefficients and determinant calculation methods.

Explores linear models, least squares, Gaussian vectors, and model selection methods.

Covers orthogonal linear maps, orthogonal matrices, invertibility, and least squares solutions in Euclidean spaces.

Explores the properties and examples of diagonalizable matrices, emphasizing the relationship between eigenvectors and eigenvalues.

Explores linear algebra concepts through examples and theorems, focusing on matrices and their operations.

Covers the diagonalization of symmetric matrices, the spectral theorem, and the use of spectral decomposition.

Explores matrix similarity, diagonalization, characteristic polynomials, eigenvalues, and eigenvectors in linear algebra.