Student who passed the course satisfactorily will be able to:

• understand the mathematical foundations and convergence criteria for iterative methods
• implement and apply specific iterative algorithms, including Conjugate Gradient, GMRES, and Newton’s method, to large-scale systems
• evaluate the efficiency and accuracy of iterative methods for linear and nonlinear equations
• apply preconditioning and error estimation techniques to improve the performance of iterative algorithms in practical applications