Survey of multifidelity methods in uncertainty propagation, inference, and optimization
Survey of multifidelity methods in uncertainty propagation, inference, and optimization
B. Peherstorfer,K. Willcox,M. Gunzburger
2018 · DOI: 10.1137/16M1082469
SIAM Review · 828 Citations
TLDR
In many situations across computational science and engineering, multiple computational models are available that describe a system of interest and these different models have varying evaluation costs.
Abstract
In many situations across computational science and engineering, multiple computational models are available that describe a system of interest. These different models have varying evaluation costs...
