Optimal Model Management for Multifidelity Monte Carlo Estimation
This work presents an optimal model management strategy that exploits multifidelity surrogate models to accelerate the estimation of statistics of outputs of computationally expensive high-fidelity models. Existing acceleration methods typically exploit a multilevel hierarchy of surrogate models tha...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Society for Industrial and Applied Mathematics
2017
|
| Online Access: | http://hdl.handle.net/1721.1/108618 https://orcid.org/0000-0002-5045-046X https://orcid.org/0000-0003-2156-9338 |