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Multifidelity (or multi-fidelity) methods leverage both low- and high-fidelity data in order to maximize the accuracy of model estimates, while minimizing
Multifidelity_simulation
Lee, L. H.; Hu, J.; Chen, C. H. (2019). "Efficient Simulation Sampling Allocation Using Multifidelity Models". IEEE Transactions on Automatic Control. 64
Optimal computing budget allocation
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Design optimization methodology
Eldred, K.E. Willcox, and R. Haimes, "Surrogate-Based Optimization Using Multifidelity Models with Variable Parameterization and Corrected Space Mapping,"
Space_mapping
Passage of an object through the gases of an atmosphere from outer space
Fiore, Francesco; Maggiore, Paolo; Mainini, Laura (October 4, 2021). "Multifidelity domain-aware learning for the design of re-entry vehicles". Structural
Atmospheric_entry
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