Automatic Differentiation
 
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inv_sqrt.hpp
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1#ifndef STAN_MATH_FWD_FUN_INV_SQRT_HPP
2#define STAN_MATH_FWD_FUN_INV_SQRT_HPP
3
8#include <cmath>
9
10namespace stan {
11namespace math {
12
13template <typename T>
14inline fvar<T> inv_sqrt(const fvar<T>& x) {
15 T sqrt_x(sqrt(x.val_));
16 return fvar<T>(1.0 / sqrt_x, -0.5 * x.d_ / (x.val_ * sqrt_x));
17}
18} // namespace math
19} // namespace stan
20#endif
fvar< T > sqrt(const fvar< T > &x)
Definition sqrt.hpp:18
fvar< T > inv_sqrt(const fvar< T > &x)
Definition inv_sqrt.hpp:14
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