Other topics covered in this course
- Search for minima in multidimensional spaces (conjugate gradient method, steepest descent method, quasi-Newton-Raphson, Broyden-Jacobian). Convex optimization, gradient methods
- Iterative methods for solutions of non-linear equations.
- Object orientation
- Data analysis and resampling techniques
- Variational Monte Carlo (VMC) for ab initio studies of quantum mechanical many-body systems.
- Simulation of two- and three-dimensional systems like quantum dots or atoms and molecules or systems from solid state physics