Automatic Differentiation
 
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cbrt.hpp
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1#ifndef STAN_MATH_FWD_FUN_CBRT_HPP
2#define STAN_MATH_FWD_FUN_CBRT_HPP
3
8
9namespace stan {
10namespace math {
11
19template <typename T>
20inline fvar<T> cbrt(const fvar<T>& x) {
21 return fvar<T>(cbrt(x.val_), x.d_ / (3 * square(cbrt(x.val_))));
22}
23
24} // namespace math
25} // namespace stan
26#endif
fvar< T > cbrt(const fvar< T > &x)
Return cube root of specified argument.
Definition cbrt.hpp:20
fvar< T > square(const fvar< T > &x)
Definition square.hpp:12
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...
Scalar val_
The value of this variable.
Definition fvar.hpp:49
Scalar d_
The tangent (derivative) of this variable.
Definition fvar.hpp:61
This template class represents scalars used in forward-mode automatic differentiation,...
Definition fvar.hpp:40