The document discusses two numerical methods, Jacobi and Gauss-Seidel, for solving systems of linear equations with the same number of equations as unknowns. Both methods involve iteratively solving for each unknown using the current values of the other unknowns until convergence within a specified error threshold. The Gauss-Seidel method differs in that it uses the most recently calculated values, making each iteration more accurate and the overall process faster than the Jacobi method.