Automatic Differentiation
 
Loading...
Searching...
No Matches
atanh.hpp
Go to the documentation of this file.
1#ifndef STAN_MATH_FWD_FUN_ATANH_HPP
2#define STAN_MATH_FWD_FUN_ATANH_HPP
3
10#include <cmath>
11#include <complex>
12
13namespace stan {
14namespace math {
15
25template <typename T>
26inline fvar<T> atanh(const fvar<T>& x) {
27 return fvar<T>(atanh(x.val_), x.d_ / (1 - square(x.val_)));
28}
29
37template <typename T>
38inline std::complex<fvar<T>> atanh(const std::complex<fvar<T>>& z) {
40}
41
42} // namespace math
43} // namespace stan
44#endif
std::complex< V > complex_atanh(const std::complex< V > &z)
Return the hyperbolic arc tangent of the complex argument.
Definition atanh.hpp:109
fvar< T > atanh(const fvar< T > &x)
Return inverse hyperbolic tangent of specified value.
Definition atanh.hpp:26
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