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Is it possible to get partial derivatives wrt 'x', 't' from just discrete data arranged in a matrix with 'x' values in rows and 't' values in columns?
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You could try using my branch and my API for numerical vjps: PR
Note that the vjp_numeric function takes an optional step argument, which can be defined as the separation between your x-s.
vjp_numeric
step
x
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Is it possible to get partial derivatives wrt 'x', 't' from just discrete data arranged in a matrix with 'x' values in rows and 't' values in columns?
The text was updated successfully, but these errors were encountered: