Lectures related to Classification of Quadratic Forms

Explores the diagonalization of symmetric matrices through orthogonal decomposition and the spectral theorem.

Explores optimal control and KKT conditions for non-linear optimization with constraints.

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

Covers the process of diagonalizing matrices, focusing on symmetric matrices and the spectral theorem.

Explores pseudo-Euclidean spaces, emphasizing isometries and bases in vector spaces with non-degenerate quadratic forms.

Covers the concept of symmetric matrices, orthogonal bases, and eigenvectors.

Explores the diagonalization of symmetric matrices and the orthogonality of eigenvectors.