Covers the Conjugate Gradients method for solving linear systems iteratively with quadratic convergence and emphasizes the importance of linear independence among conjugate directions.
Explores the weak formulation and Galerkin method in Finite Element Method applications, including boundary conditions and linear systems of equations.
