Computational and Applied Mathematics

Computational and Applied Mathematics Group
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 Cory Hauck, (865) 574-0730.