Innovate and analyze scalable algorithms for advancing scientific discovery

The Computational and Applied Mathematics Group (CAM) is devoted the development, analysis and application of efficient numerical algorithms for solving large-scale scientific and engineering problems on advanced computer architectures. The Computational and Applied Mathematics Group is home the Householder Postdoctoral Fellowship. Principal research areas include:

- Multi-scale methods, including atomistic-to-continuum coupling;
- Computational kinetic theory;
- Computational fluid dynamics and turbulence;
- High-dimensional approximation theory;
- Large-scale iterative methods for linear and eigenvalue problems;
- Numerical methods for stochastic (partial) differential equations;
- Uncertainty quantification;
- Probability theory;
- Statistical sampling and design of experiments;
- Combinatorial optimization and graph theory;
- Computational geometry and mesh generation;
- Sparse methods for data analytics;
- High-order continuous and discontinuous methods for PDEs; and
- Multi-resolution analysis

If you have an interest in collaborating with us, contact Clayton Webster, (865) 574-3649.