Sparse POD Mode Selection and Manifold Dimensionality Reduction with Neural Networks

Tomoki Koike, Prakash Mohan, Marc T. Henry de Frahan +2

Linear dimensionality reduction methods such as proper orthogonal decomposition (POD) make high-dimensional data amenable to analysis by identifying the principal components, or mo…