Automatic Differentiation
 
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lgamma.hpp
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1#ifndef STAN_MATH_FWD_FUN_LGAMMA_HPP
2#define STAN_MATH_FWD_FUN_LGAMMA_HPP
3
8
9namespace stan {
10namespace math {
11
20template <typename T>
21inline fvar<T> lgamma(const fvar<T>& x) {
22 return fvar<T>(lgamma(x.val_), x.d_ * digamma(x.val_));
23}
24
25} // namespace math
26} // namespace stan
27#endif
fvar< T > lgamma(const fvar< T > &x)
Return the natural logarithm of the gamma function applied to the specified argument.
Definition lgamma.hpp:21
fvar< T > digamma(const fvar< T > &x)
Return the derivative of the log gamma function at the specified argument.
Definition digamma.hpp:23
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