Inverse spectral theory addresses the fundamental question of how to reconstruct a differential operator from the knowledge of its spectral characteristics. Central to this theory are operators such ...
Neural networks suffer from spectral bias and have difficulty representing the high-frequency components of a function, whereas relaxation methods can resolve high frequencies efficiently but stall at ...
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