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Is it possible to use FastAD reverse mode to compute the derivative of an algorithm
template <class Scalar> Scalar f( const std::vector<Scalar>& x)
where f(x) only uses the operators + , -, *, /, and = operations with Scalar objects. If so, is there an example that demonstrates this ?
The text was updated successfully, but these errors were encountered:
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Is it possible to use FastAD reverse mode to compute the derivative of an algorithm
where f(x) only uses the operators + , -, *, /, and = operations with Scalar objects.
If so, is there an example that demonstrates this ?
The text was updated successfully, but these errors were encountered: