Multifidelity (or multi-fidelity) methods leverage both low- and high-fidelity data in order to maximize the accuracy of model estimates, while minimizing...
14 KB (1,553 words) - 06:53, 9 June 2025
Eldred, K.E. Willcox, and R. Haimes, "Surrogate-Based Optimization Using Multifidelity Models with Variable Parameterization and Corrected Space Mapping,"...
22 KB (2,488 words) - 00:55, 17 October 2024
Lee, L. H.; Hu, J.; Chen, C. H. (2019). "Efficient Simulation Sampling Allocation Using Multifidelity Models". IEEE Transactions on Automatic Control. 64...
33 KB (5,036 words) - 09:38, 12 July 2025
Fiore, Francesco; Maggiore, Paolo; Mainini, Laura (October 4, 2021). "Multifidelity domain-aware learning for the design of re-entry vehicles". Structural...
115 KB (13,489 words) - 02:36, 5 August 2025