Efficient Numerical Methods for High-Dimensional Approximation Problems
In the field of uncertainty quantification, the effects of parameter uncertainties on scientific simulations may be studied by integrating or approximating a quantity of interest as a function over the parameter space. If this is done numerically, using regular grids with a fixed resolution, the req...
| Main Author: | |
|---|---|
| Other Authors: | |
| Language: | en |
| Published: |
2019
|
| Subjects: | |
| Online Access: | Wolfers, S. (2019). Efficient Numerical Methods for High-Dimensional Approximation Problems. <i>KAUST Research Repository</i>. https://doi.org/10.25781/KAUST-KGFH7 http://hdl.handle.net/10754/630974 |