An adaptive sampling algorithm for reduced‐order models using Isomap
Rakesh Halder,
Krzysztof J. Fidkowski,
Kevin J. Maki
Abstract:The use of reduced‐order models (ROMs) in physics‐based modeling and simulation is a popular tool for drastically lowering the computational cost associated with high‐fidelity simulations. ROMs use training data from a set of computed high‐fidelity simulations with different design parameters that control physical and geometric properties of the full‐order model. The quality of the training data dictates the performance of the ROM, making the choice of training design parameters important. A widely used method… Show more
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