At the end of this course, the student will learn:

• the theory of iterative methods for solving large-scale linear and nonlinear systems of equations
• specific iterative algorithms such as Conjugate Gradient, GMRES, and Newton’s method
• convergence analysis, error estimation, and preconditioning techniques to improve algorithm performance
• the implementation and computational efficiency of iterative methods in large-scale problems