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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.
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