Stan Math Library  2.20.0
reverse mode automatic differentiation
exp2.hpp
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1 #ifndef STAN_MATH_FWD_SCAL_FUN_EXP2_HPP
2 #define STAN_MATH_FWD_SCAL_FUN_EXP2_HPP
3 
4 #include <stan/math/fwd/meta.hpp>
5 #include <stan/math/fwd/core.hpp>
8 #include <cmath>
9 
10 namespace stan {
11 namespace math {
12 
13 template <typename T>
14 inline fvar<T> exp2(const fvar<T>& x) {
15  using std::log;
16  return fvar<T>(exp2(x.val_), x.d_ * exp2(x.val_) * LOG_2);
17 }
18 
19 } // namespace math
20 } // namespace stan
21 #endif
const double LOG_2
The natural logarithm of 2, .
Definition: constants.hpp:37
T d_
The tangent (derivative) of this variable.
Definition: fvar.hpp:50
fvar< T > log(const fvar< T > &x)
Definition: log.hpp:12
T val_
The value of this variable.
Definition: fvar.hpp:45
fvar< T > exp2(const fvar< T > &x)
Definition: exp2.hpp:14
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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