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Quasi-Optimal Sampling to Learn Basis Updates for Online Adaptive Model Reduction with Adaptive Empirical Interpolation.
Alice Cortinovis
Daniel Kressner
Stefano Massei
Benjamin Peherstorfer
Published in:
ACC (2020)
Keyphrases
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computational model
real time
multiscale
theoretical analysis
empirical data
conceptual model
mathematical model
sample size
em algorithm
probability distribution
probabilistic model
online learning
optimal policy
dynamic programming
statistical model
monte carlo
cost function
hybrid model
machine learning