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
To learn more about our researchers and their work, please visit csmd.ornl.gov.