Automatic Differentiation
 
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log2.hpp
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1#ifndef STAN_MATH_FWD_FUN_LOG2_HPP
2#define STAN_MATH_FWD_FUN_LOG2_HPP
3
8
9namespace stan {
10namespace math {
11
19template <typename T>
20inline fvar<T> log2(const fvar<T>& x) {
21 if (x.val_ < 0.0) {
23 } else {
24 return fvar<T>(log2(x.val_), x.d_ / (x.val_ * LOG_TWO));
25 }
26}
27
28} // namespace math
29} // namespace stan
30#endif
static constexpr double NOT_A_NUMBER
(Quiet) not-a-number value.
Definition constants.hpp:56
constexpr double log2()
Return natural logarithm of two.
Definition log2.hpp:17
static constexpr double LOG_TWO
The natural logarithm of 2, .
Definition constants.hpp:80
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