About
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
- Multi-scale methods, including atomistic-to-continuum coupling;
- Computational kinetic theory; and
- Computational fluid dynamics and turbulence
Uncertainty Quantification
- High-dimensional approximation theory,
- Numerical methods for stochastic (partial) differential equations,
- Uncertainty quantification,
- Probability theory, and
- Statistical sampling and design of experiments
Data
- Sparse methods for data analytics and
- Multi-resolution analysis
