Automatic Differentiation
 
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sinh.hpp
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1#ifndef STAN_MATH_FWD_FUN_SINH_HPP
2#define STAN_MATH_FWD_FUN_SINH_HPP
3
7#include <complex>
8
9namespace stan {
10namespace math {
11
12template <typename T>
13inline fvar<T> sinh(const fvar<T>& x) {
14 using std::cosh;
15 using std::sinh;
16 return fvar<T>(sinh(x.val_), x.d_ * cosh(x.val_));
17}
18
26template <typename T>
27inline std::complex<fvar<T>> sinh(const std::complex<fvar<T>>& z) {
28 return internal::complex_sinh(z);
29}
30
31} // namespace math
32} // namespace stan
33#endif
std::complex< V > complex_sinh(const std::complex< V > &z)
Return the hyperbolic sine of the complex argument.
Definition sinh.hpp:69
fvar< T > cosh(const fvar< T > &x)
Definition cosh.hpp:15
fvar< T > sinh(const fvar< T > &x)
Definition sinh.hpp:13
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