Stan Math Library  2.20.0
reverse mode automatic differentiation
inv_logit.hpp
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1 #ifndef STAN_MATH_FWD_SCAL_FUN_INV_LOGIT_HPP
2 #define STAN_MATH_FWD_SCAL_FUN_INV_LOGIT_HPP
3 
4 #include <stan/math/fwd/meta.hpp>
5 #include <stan/math/fwd/core.hpp>
7 
8 namespace stan {
9 namespace math {
10 
19 template <typename T>
20 inline fvar<T> inv_logit(const fvar<T>& x) {
21  using std::exp;
22  using std::pow;
23  return fvar<T>(inv_logit(x.val_),
24  x.d_ * inv_logit(x.val_) * (1 - inv_logit(x.val_)));
25 }
26 } // namespace math
27 } // namespace stan
28 #endif
T d_
The tangent (derivative) of this variable.
Definition: fvar.hpp:50
fvar< T > inv_logit(const fvar< T > &x)
Returns the inverse logit function applied to the argument.
Definition: inv_logit.hpp:20
T val_
The value of this variable.
Definition: fvar.hpp:45
fvar< T > exp(const fvar< T > &x)
Definition: exp.hpp:11
fvar< T > pow(const fvar< T > &x1, const fvar< T > &x2)
Definition: pow.hpp:16
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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