Automatic Differentiation
 
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inv_cloglog.hpp
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1#ifndef STAN_MATH_FWD_FUN_INV_CLOGLOG_HPP
2#define STAN_MATH_FWD_FUN_INV_CLOGLOG_HPP
3
7#include <cmath>
8
9namespace stan {
10namespace math {
11
12template <typename T>
13inline fvar<T> inv_cloglog(const fvar<T>& x) {
14 using std::exp;
15 return fvar<T>(inv_cloglog(x.val_), x.d_ * exp(x.val_ - exp(x.val_)));
16}
17} // namespace math
18} // namespace stan
19#endif
fvar< T > inv_cloglog(const fvar< T > &x)
fvar< T > exp(const fvar< T > &x)
Definition exp.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