Lecture
This lecture covers the analysis of linear systems, focusing on methods such as Jacobi and Richardson for solving linear equations. Topics include error estimation, convergence criteria, and the use of preconditioning. The lecture also delves into the convergence of iterative methods and the importance of matrix properties in numerical computations.