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Update README.md
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KangOxford authored May 12, 2022
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Expand Up @@ -27,7 +27,7 @@ Transformer for solving the problem in `Stochastic Local Volatility`
* To solve different PDEs, do we need to change the code in the FNO?
* Or the info has been included in the dataset by sampling.
* We need to solve a two dimensional difussion equation.
* https://github.com/KangOxford/Fourier-Transformer/blob/624f014f2505505896045e94a2a2c78c9a2ec26d/fourier_neural_operator/fourier_3d.py#L1-L5
* https://github.com/KangOxford/Fourier-Transformer/blob/6fd306e6a6856a46b3db78fa57db8ced3c307060/fourier_neural_operator/fourier_3d.py#L1-L7
* How does the advantage of operator learning functions in this lab?
* Does it not need to train again with different intial condition or boundrary condition.
* Perhaps. As the Operator is learnt. So one of the three condtion has been solved, with the other two to be the intial condition and boundrary condition.
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