This edited monograph collects research contributions and addresses the advancement of efficient numerical procedures in the area of model order reduction (MOR)

A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.

This monograph addresses the state of the art of reduced order methods for modeling and computational reduction of complex parametrized systems, governed by ord

The idea for this book originated during the workshop “Model order reduction, coupled problems and optimization” held at the Lorentz Center in Leiden from S

This Book discusses machine learning for model order reduction, which can be used in modern VLSI design to predict the behavior of an electronic circuit, via ma