The Stochastic FHN Neuron Model in the Excitable Regime Possesses a Global Random Pullback Attractor Published March 1, 2021 • Marius Yamakou, Friedrich-Alexander-Universität Erlangen–Nürnberg The Stochastic FHN Neuron Model in the Excitable Regime Possesses a Global Random Pullback Attractor View this poster
Published March 1, 2021 Nonlocal Conservation Laws (NLCL) – Modeling, Simulation and Optimal Control • Alexander Keimer, UC Berkeley • Günter Leugering, Friedrich-Alexander-Universität Erlangen – Nürnberg • Lukas Pflug, Friedrich-Alexander-Universität Erlangen – Nürnberg • Doris Segets, […]
Published September 1, 2022 Optimal shape design of sensors via a geometric approach Event: CIN-PDE 2024 • Ilias Ftouhi, FAU DCN-AvH. Friedrich-Alexander-Universität Erlangen–Nürnberg • Enrique Zuazua, FAU DCN-AvH/FAU MoD. Friedrich-Alexander-Universität Erlangen–Nürnberg Optimal shape design of […]
Published March 1, 2021 Boundary Controllability of Nodal Profile for Hyperbolic Systems • Yue Wang, Friedrich-Alexander-Universität Erlangen–Nürnberg • Günter Leugering, Friedrich-Alexander-Universität Erlangen–Nürnberg • Charlotte Rodríguez, Friedrich-Alexander-Universität Erlangen–Nürnberg • Tatsien Li, Fudan University • Gastón […]
Published March 1, 2021 The sheep herding game: Can you beat the algorithm? • Daniël Veldman, Friedrich-Alexander-Universität Erlangen–Nürnberg The sheep herding game: Can you beat the algorithm? View this poster