A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
Hello everyone,
I am curious about how could I access the differential equations inside the system after calling a function like Solver1D? and how could I know the total of equations that have been implemented in the system?
Because when I implement the total equations in def function more than the total of nets or conditions the system still works. So I am curious how the system reads the function that I have defined in the def function.
Hello everyone, I am curious about how could I access the differential equations inside the system after calling a function like Solver1D? and how could I know the total of equations that have been implemented in the system?
Because when I implement the total equations in
deffunction more than the total of nets or conditions the system still works. So I am curious how the system reads the function that I have defined in thedeffunction.