-
Multifidelity (or multi-fidelity)
methods leverage both low- and high-fidelity data in
order to
maximize the
accuracy of
model estimates,
while minimizing...
- Fiore, Francesco; Maggiore, Paolo; Mainini,
Laura (October 4, 2021). "
Multifidelity domain-aware
learning for the
design of re-entry vehicles". Structural...
-
Applied Mathematics in 2018, "for
contributions to
model reduction and
multifidelity methods, with
applications in optimization, control, design, and uncertainty...
- Eldred, K.E. Willcox, and R. Haimes, "Surrogate-Based
Optimization Using Multifidelity Models with
Variable Parameterization and
Corrected Space Mapping,"...
- Eldred, K.E. Willcox, and R. Haimes, "Surrogate-Based
Optimization Using Multifidelity Models with
Variable Parameterization and
Corrected Space Mapping,"...
- Chen, C. H. (2019). "Efficient
Simulation Sampling Allocation Using Multifidelity Models". IEEE
Transactions on
Automatic Control. 64 (8): 3156–3169....
