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For simple functions that can be written as SymPy expressions, we could automatically generate the RobOptim function (impl_compute, impl_gradient, and even impl_hessian) from the SymPy expression. This would be as easy as using finite differences, yet it would be much more efficient. We could even imagine adding sparse matrix support.
The text was updated successfully, but these errors were encountered:
Yes, it is a nice wishlist feature. I hope I had the time to do that now :)
Actually, this part is Python only so as soon as the C/C++ interface is ready then developing the
pure-Python features will probably be straight-forward.
For simple functions that can be written as SymPy expressions, we could automatically generate the RobOptim function (
impl_compute
,impl_gradient
, and evenimpl_hessian
) from the SymPy expression. This would be as easy as using finite differences, yet it would be much more efficient. We could even imagine adding sparse matrix support.The text was updated successfully, but these errors were encountered: