Stan Math Library  2.20.0
reverse mode automatic differentiation
log1p.hpp
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1 #ifndef STAN_MATH_FWD_SCAL_FUN_LOG1P_HPP
2 #define STAN_MATH_FWD_SCAL_FUN_LOG1P_HPP
3 
4 #include <stan/math/fwd/meta.hpp>
5 #include <stan/math/fwd/core.hpp>
7 
8 namespace stan {
9 namespace math {
10 
11 template <typename T>
12 inline fvar<T> log1p(const fvar<T>& x) {
13  return fvar<T>(log1p(x.val_), x.d_ / (1 + x.val_));
14 }
15 
16 } // namespace math
17 } // namespace stan
18 #endif
T d_
The tangent (derivative) of this variable.
Definition: fvar.hpp:50
T val_
The value of this variable.
Definition: fvar.hpp:45
fvar< T > log1p(const fvar< T > &x)
Definition: log1p.hpp:12
This template class represents scalars used in forward-mode automatic differentiation, which consist of values and directional derivatives of the specified template type.
Definition: fvar.hpp:41

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