Preprint
Aug 2026
Alternating Levenberg-Marquardt Training of Physics-Informed Neural Networks with Fourier-Enhanced Features
This work proposes the Fourier-enhanced alternating Levenberg--Marquardt PINN (FALM-PINN), an optimization framework that decouples representation learning from coefficient fitting within a single nonconvex optimization objective.
Yulun Wu, Matthieu Barreau, Miguel Aguiar et al.
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