Lectures related to Iterative methods: Jacobi, Gauss-Seidel, SOR

Covers fixed-point methods and Newton-Raphson, emphasizing their convergence and error control.

Covers exercises related to numerical methods, focusing on computational algorithms and problem-solving strategies.

Covers high order methods for space discretisation in linear differential systems.

Covers the numerical approach to derivative calculation, focusing on formulas and methods such as fine differences.

Covers the convergence of fixed point methods for nonlinear equations, including global and local convergence theorems and the order of convergence.

Explains verification and validation in CFD simulations, focusing on Richardson extrapolation and accuracy checking.

Explores iterative numerical methods for solving equations, emphasizing convergence criteria, errors, and starting values' impact.