Kabanov, Dmitry I.; Rave, Stephan; Ohlberger, Mario
Research article in digital collection | PreprintTo address the challenges of interoperability in computational science, we present the latest updates to the software package MaRDI Open Interfaces. This software package aims to decrease the time and coding/testing efforts spent by computational scientists on tasks such as writing bindings to numerical solvers and adapting experiment codes to the varying interfaces of solvers for the same problem type (e.g., for benchmarking, which solver is better). By streamlining these tasks, this software package helps researchers focus on the actual essence of their computational projects. Here, we demonstrate a recently developed interface for nonlinear optimization and illustrate how it can be applied for computational experiments with optimization problems. As an example of such problem, we consider training of physics-informed neural networks to predict the solutions of viscous Burgers' equation.
| Kabanov, Dmitry | |
| Ohlberger, Mario | |
| Rave, Stephan |
Duration: 01/01/2026 - 31/12/2032 | 2nd Funding period Funded by: DFG - Cluster of Excellence Type of project: Main DFG-project hosted at University of Münster | |
Duration: 01/10/2021 - 30/09/2026 | 1st Funding period Funded by: DFG - National Research Data Infrastructure Type of project: Subproject in DFG-joint project hosted outside University of Münster |