Preprint Open access
Low-Fidelity FDM Spectral Guidance for Neural Eigenvalue Solvers
Operator eigenvalue problems appear throughout science. Classical methods usually discretize the operator into a matrix and then solve the resulting matrix eigenvalue problem. This works well in low dimensions, but fine grids quickly become expensive in both memory and computation as the dimension grows. Neural network …