This paper by P. Benner (CSC), S. Gugercin (VT) and S. W. R. Werner (CSC) provides a framework for structure-preserving interpolation of regular subsystem transfer functions of structured bilinear control systems. It got published in Advances in Computational Mathematics.

This work by Pawan Goyal (CSC) and Peter Benner (CSC) combines machine learning (dictionary-based) with a numerical integration scheme, namely a Runge-Kutta scheme to discover governing equations using corrupted and sparsely-sampled data. The method does not require the computation of derivative information to discover governing equations. Hence, it holds a key advantage when data are corrupted and sparsely sampled.

This paper by Süleyman Yildiz (METU Ankara), Pawan Goyal (CSC), Peter Benner (CSC), and Bülent Karasözen (METU Ankara) discusses learning reduced models for parameterized shallow water equations using only data. The article is published in International Journal for Numerical Methods in Fluids.

This paper by P. Benner (CSC) and S. W. R. Werner (CSC) extends the frequency- and time-limited balanced truncation methods to second-order systems and describes numerical tools for their application to large-scale sparse systems. It got published in Linear Algebra and its Applications.

Dieser Artikel von J. Fehr (Uni Stuttgart), C. Himpe (CSC), S. Rave (WWU Münster) und J. Saak (CSC) strebt einen Bottom-up-Ansatz für nachhaltige Übergabeprozesse in der wissenschaftlichen Softwareentwicklung aus der Sicht eines Entwicklers an. Er wurde heute im Journal of Open Research Software veröffentlicht.