Applied Mathematics and Scientific Computation

Overview

The dramatic improvement in algorithms and hardware in recent decades has facilitated the treatment of applied mathematical models which were considered intractable only a few years ago. 

This has led to the emergence of Scientific Computing as a "third scientific methodology", as distinct from theory and experimentation. Exploiting this new approach requires (a) sound mathematical training, (b) expertise in the practical aspects of computing and algorithm development, and (c) an interdisciplinary, scientific viewpoint which transcends traditional disciplinary boundaries.

The graduate program in Applied Mathematics and Scientific Computation at Bowling Green State University is built upon Analysis. At its core are optimization and the numerical simulation of models involving partial differential equations. Through the coursework, the student will acquire rigorous training in real, complex and functional analysis, as well as a breadth of understanding of applied models. He or she will also gain significant practical computational experience which will be of great value in further research or in an industrial setting.

Areas of Active Research

Highlights of research projects being conducted at BGSU by members for the Applied Mathematics faculty in collaboration with researchers from other departments include:

• Numerical Partial Differential Equations

• Inverse Problems

• Multiphase Porus Media Fluid Flow