Software
ALEA - Framework for high-dimensional functional Uncertainty Quantification
ALEA is a free python library for research in Uncertainty Quantification (UQ). Its focus is on functional spectral approximations on the basis of polynomial chaos and on the treatment of high-dimensional discretisations. For this, methods for low-rank approximations based on hierarchical tensors are incorporated.
DiPoG - Direct and Inverse Problems for Optical Gratings
Based on coupled generalized finite/boundary elements and gradient type optimization methods this program package provides simulation and optimization of periodic diffractive structures with multilayer stacks.
Research Groups
- Partial Differential Equations
- Laser Dynamics
- Numerical Mathematics and Scientific Computing
- Nonlinear Optimization and Inverse Problems
- Interacting Random Systems
- Stochastic Algorithms and Nonparametric Statistics
- Thermodynamic Modeling and Analysis of Phase Transitions
- Nonsmooth Variational Problems and Operator Equations