Collection

Model Reduction and Surrogate Modeling (MORe)

Submission status
Closed
The steady increase in complexity within industrial processes, especially in the “big data” eraand the simultaneous need for sustainable technologies, is undoubtedly one of the central challenges of our time. Even the rapid increase in available computing power cannot permanently cope with the exponential growth underlying the “curse of dimensionality” in the long run. Accordingly, it is necessary to examine large data sets with respect to redundant information and to merge essential information gained from this in a reduced model. This is exactly the underlying idea of model order reduction (MOR). The topical collection is an initiative of the first "MORe" conference which was held in September 2022 and which served as a central kick-off event of the merger of the two previous conference series “Model Reduction of Parametrized Systems (MoRePaS)” and “Model Reduction of Complex Dynamical Systems (Modred)”. The collection addresses recent results and significant new achievements in model reduction and surrogate modeling.

Editors

Articles (19 in this collection)