Lectures related to Eigenvalues and Eigenvectors

Discusses eigenvalues, their calculation methods, and their applications in optimization and numerical analysis.

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

Covers the concept of singular values in linear algebra and their properties, including diagonalization and practical examples.

Explores eigenvalues, stability, eigenvectors, and error estimation techniques in linear systems.

Explores stability in linear 2D systems, covering fixed points, vector fields, and phase portraits.

Covers the formulation of linear systems, direct and iterative methods for solving them, and the cost of LU factorization.