deepxde
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L-BFGS
I wanted to ask that why after using L-BFGS with pytorch in https://i-systems.github.io/tutorial/KSNVE/220525/01_PINN.html significantly reduces the loss value?
The question is fundamental to optimisers. While, second order optimisers are known for faster convergence, this is not generally true in cases where the loss lanscape contains saddle points.