Neural operators are extensions of neural networks to handle continuous inputs and outputs (function spaces) and hence, accurately represent solutions to PDEs. But how do they relate to numerical solver for PDEs? Figure below shows the pseudo-spectral solver is a special case of
Neural Operators as Generalizations of PDE Numerical Solvers
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