Automatic Differentiation
 
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atanh.hpp
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1#ifndef STAN_MATH_FWD_FUN_ATANH_HPP
2#define STAN_MATH_FWD_FUN_ATANH_HPP
3
8#include <cmath>
9#include <complex>
10
11namespace stan {
12namespace math {
13
23template <typename T>
24inline fvar<T> atanh(const fvar<T>& x) {
25 return fvar<T>(atanh(x.val_), x.d_ / (1 - square(x.val_)));
26}
27
35template <typename T>
36inline std::complex<fvar<T>> atanh(const std::complex<fvar<T>>& z) {
38}
39
40} // namespace math
41} // namespace stan
42#endif
std::complex< V > complex_atanh(const std::complex< V > &z)
Return the hyperbolic arc tangent of the complex argument.
Definition atanh.hpp:91
fvar< T > atanh(const fvar< T > &x)
Return inverse hyperbolic tangent of specified value.
Definition atanh.hpp:24
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