Guest Editors:
- Pierre-Alain Boucard (ENS Paris-Saclay, CNRS - LMT - Laboratoire de Mécanique et Technologie, Gif-sur-Yvette, France)
- Piotr Breitkopf (Sorbonne Université , UTC, CNRS – Laboratoire Roberval, Paris, France)
- Stefanie Reese (RWTH Aachen University, Aachen, Germany)
- Pierre Duysinx (A&M - Automotive Engineering - University of Liege, Liège, Belgium)
One of the main difficulties of optimization is the computational cost associated with the evaluation of numerical models. In order to overcome this problem, many works have emerged in the last few years based on model reduction methods, surrogate model and multifidelity and their coupling. This special issue focuses on these growing tools.
Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies, including those pertaining to Collections. Articles will be added to the Collection as they are published.