Comments (1)
Hi,
The original PINN uses two optimizers, Adam for initial optimization since it is generally more stable, and later use second order optimizer LBFGS for finetuning to reach higher accuracy.
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Related Issues (8)
- Data Creating Method HOT 2
- Unable to visualize data in test code HOT 3
- Burgers inference discrete time HOT 2
- Coefficient (0.01 / math.pi) without parentheses HOT 2
- In the function 'loss_func' of 'Net class' of"Burgers.ipynb", do we need to add 'self.adam.zero_grad()' ? HOT 1
- OMP: Error in the file named "Burgers Inference (PyTorch).ipynb"
- Error issue
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