Abstract
AbstractThis chapter contains a literature survey of the work published by the authors in the timeframe of their collaboration, where the concepts presented in this book have been applied to real-life industrial settings, and new methodologies have been developed. The listed contributions are grouped into the following themes: linear manifold learning, nonlinear dimensionality reduction via auto-encoder, piecewise linear dimensionality reduction via dictionary-based ROMnets and manifold learning of physics problems assisted by black-box regressors.
Publisher
Springer Nature Switzerland