Automatic Differentiation
 
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erf.hpp
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1#ifndef STAN_MATH_FWD_FUN_ERF_HPP
2#define STAN_MATH_FWD_FUN_ERF_HPP
3
9#include <cmath>
10
11namespace stan {
12namespace math {
13
14template <typename T>
15inline fvar<T> erf(const fvar<T>& x) {
16 using std::exp;
17 return fvar<T>(erf(x.val_), x.d_ * exp(-square(x.val_)) * TWO_OVER_SQRT_PI);
18}
19
20} // namespace math
21} // namespace stan
22#endif
fvar< T > erf(const fvar< T > &x)
Definition erf.hpp:15
static constexpr double TWO_OVER_SQRT_PI
The value of 2 over the square root of , .
fvar< T > square(const fvar< T > &x)
Definition square.hpp:12
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 ...
Definition fvar.hpp:9
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