Numerical Analysis and Scientific Computation

The Numerical Analysis and Scientific Computation group is primarily concerned with the efficient numerical approximation of solutions of partial differential equations. 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 and scientific applications.

The group consists of about a dozen permanent faculties and numerous graduate students, postdoc and visiting faculty. As well as doing research into theoretical numerical analysis, the group works closely with the Institute for Scientific Computation and the Institute for Applied Mathematics and Computational Science on the development of large scale scientific simulations.

The graduate program in numerical analysis includes courses in basic numerical analysis, analysis of iterative methods, and finite element software. More advanced courses concerning the theory of finite elements, domain decomposition, multigrid, and mixed finite elements are also offered on a regular basis. Several of the past Numerical Analysis Qualifying Exams are available.

Visiting Faculty and Research Staff

Graduate Students