Automatic Differentiation
 
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inv_square.hpp
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1#ifndef STAN_MATH_FWD_FUN_INV_SQUARE_HPP
2#define STAN_MATH_FWD_FUN_INV_SQUARE_HPP
3
7
8namespace stan {
9namespace math {
10
11template <typename T>
12inline fvar<T> inv_square(const fvar<T>& x) {
13 T square_x(square(x.val_));
14 return fvar<T>(1 / square_x, -2 * x.d_ / (square_x * x.val_));
15}
16} // namespace math
17} // namespace stan
18#endif
fvar< T > inv_square(const fvar< T > &x)
fvar< T > square(const fvar< T > &x)
Definition square.hpp:12
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