Search Results for author:
Found 2 papers, 0 papers with code
Active Learning-based Domain Adaptive Localized Polynomial Chaos Expansion
The numerical results show the superiority of the DAL-PCE in comparison to (i) a single global polynomial chaos expansion and (ii) the recently proposed stochastic spectral embedding (SSE) method developed as an accurate surrogate model and which is based on a similar domain decomposition process.
Reliability analysis of discrete-state performance functions via adaptive sequential sampling with detection of failure surfaces
We propose a simple yet efficient algorithm, which performs a sequential adaptive selection of points from the input domain of random variables to extend and refine a simple distance-based surrogate model.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
