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Performance-wise, it would be very beneficial to add the option of having a hardcoded gradient of the action function S(x::Path) in the (g)MAM solvers.
The text was updated successfully, but these errors were encountered:
Yes, I guess by gradient you mean the functional derivative of S here with respect to the path? This would also be very useful for langevinmcmc. Maybe this can also be done symbolically? We have derived explicit equations for a general drift b and covariance matrix.
Performance-wise, it would be very beneficial to add the option of having a hardcoded gradient of the action function
S(x::Path)
in the (g)MAM solvers.The text was updated successfully, but these errors were encountered: