Lectures related to Diagonalization Techniques: Jacobi Method

Covers examples of symmetric matrices and their properties, including eigenvectors and eigenvalues.

Covers the analysis of linear systems, focusing on methods such as Jacobi and Richardson for solving linear equations.

Covers direct methods for solving linear systems in numerical analysis.

Covers the construction of an iterative method for linear systems by decomposing a matrix A into P, T, and P_A.

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