Scientific Computing & Numerical Modelling
A vast amount of scientific research is now conducted using computers. The development of models and algorithms to mimic complex physical, biological and financial systems relies on sound mathematical formulations. Examples of current research in Mathematics at UQ include modelling of chemical kinetics, gene splicing, fracture of composites, pricing financial bonds and computational neroscience. Mathematics also plays a central role in the ongoing development of efficient algroithms which underpin the success of modern computing. Areas of expertise in the Mathematics department include molecular dynamics, visualization, parallel algorithms, stochastic modelling, grid computing and traditional eigenvalue and linear system solvers.
In particular, scientific computing is used by the following groups within Mathematics: