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math.NA2026
Asymptotics-guided learning and symbolic regression for dispersive resonances
Konstantinos Alexopoulos, Josselin Garnier
We study resonance prediction in dispersive media, formulated as nonlinear spectral problems for volume integral operators. The main idea is to use asymptotic analysis not only as…
math.NA2026
Reduced-order modeling for electromagnetic inverse problems: a layered medium benchmark
Konstantinos Alexopoulos, Josselin Garnier
We study reduced-order modeling for inverse problems in layered media, focusing on the recovery of impedance profiles from time-domain measurements. Using the Goupillaud structure,…