This article presents an accessible overview of how Chen–Fliess series can be combined with modern learning techniques to model and analyze nonlinear dynamical systems. The
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Month: February 2026
Trondheim. Affinization of Reduced Basis Methods
by Trond Kvamsdal NTNU Norwegian University of Science and Technology Background Reduced-basis methods (RBMs) offer an efficient framework for computing real-time approximations of parameterized PDEs.
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Trondheim. DidactiQC — Teaching Quantum Computing in Norway
By Kurusch Ebrahimi Fard, Yael Fleischmann, and Alexander Schmeding NTNU Norwegian University of Science and Technology Why the Mathematics of Quantum Computing Matters Quantum computing
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Trondheim. Geometry and Numerical Analysis of Control Systems
by Jacob Goodman NTNU Norwegian University of Science and Technology Modern engineering systems are expected to operate in environments that are complex, uncertain, and full
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Trondheim. Rediscovering shallow‑water soliton equations from video data
By Mats Ehrnström NTNU Norwegian University of Science and Technology Can we rediscover a classical PDE from crude experimental data — just video recordings of
Read moreTrondheim. The MaGIC and REMODEL Meetings in Norway
By Brynjulf Owren NTNU Norwegian University of Science and Technology In the week April 6-10, 2026, just after Easter, we are organizing the MagiC workshop
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Trondheim. DIScover — discovering dynamics from data, with uncertainty built in
By Mats Ehrnström NTNU Norwegian University of Science and Technology DIScover is a collaboration and centre proposal in mathematical sciences designed to make dynamical discovery
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