Lecture
This lecture covers the Jacobi method for solving linear systems, focusing on convergence conditions. It explains how to find the iteration matrix, determine convergence for the Gauss-Seidel method, and establish necessary and sufficient conditions for convergence. The instructor demonstrates regularity and invertibility criteria for matrices, emphasizing tridiagonal properties. The lecture concludes with practical examples and Python functions for numerical analysis.