Efficient Statistical Parameter Selection for Nonlinear Modeling of Process/Performance Variation

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The present work proposes a framework for nonlinear model order reduction based on a Graph Convolutional Autoencoder (GCA-ROM). In the reduced order modeling (ROM) context, one is interested in obtaining real -time and many-query evaluations of parametric ...

Efficient Statistical Parameter Selection for Nonlinear Modeling of Process/Performance Variation

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