1 code implementation • 6 Aug 2020 • Shane A. McQuarrie, Cheng Huang, Karen Willcox
With appropriate regularization and an informed selection of learning variables, the reduced-order models exhibit high accuracy in re-predicting the training regime and acceptable accuracy in predicting future dynamics, while achieving close to a million times speedup in computational cost.
Computational Engineering, Finance, and Science J.2
