The numerical methods group is primarily concerned with
the efficient numerical
approximation of solutions of partial differential equations.
The techniques and expertise include the development and analysis
of iterative methods, stability and error analysis for finite element,
finite difference and finite volume approximations, and large scale scientific
computation with industrial application. The group consists of eleven permanent faculties, graduate students and numerous visitors. As well as doing research into theoretical numerical analysis, the group works closely with the Institute for Scientific Computation in the development of large scale scientific simulations for serial and parallel computing architectures.
The graduate program in numerical analysis includes courses in basic numerical analysis and analysis of iterative methods. More advanced courses concerning the theory of finite elements, domain decomposition, multigrid, and mixed finite elements are also offered on a regular basis.