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Computational and Applied Mathematics Group

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. 


  • 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
  • Multi-resolution analysis