Automatic Differentiation
 
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inv_sqrt.hpp
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1#ifndef STAN_MATH_REV_FUN_INV_SQRT_HPP
2#define STAN_MATH_REV_FUN_INV_SQRT_HPP
3
8#include <cmath>
9
10namespace stan {
11namespace math {
12
33template <typename T, require_stan_scalar_or_eigen_t<T>* = nullptr>
34inline auto inv_sqrt(const var_value<T>& a) {
35 auto denom = to_arena(as_array_or_scalar(a.val())
36 * as_array_or_scalar(sqrt(a.val())));
37 return make_callback_var(inv_sqrt(a.val()), [a, denom](auto& vi) mutable {
38 as_array_or_scalar(a.adj()) -= 0.5 * as_array_or_scalar(vi.adj()) / denom;
39 });
40}
41
42} // namespace math
43} // namespace stan
44#endif
T as_array_or_scalar(T &&v)
Returns specified input value.
var_value< plain_type_t< T > > make_callback_var(T &&value, F &&functor)
Creates a new var initialized with a callback_vari with a given value and reverse-pass callback funct...
arena_t< T > to_arena(const T &a)
Converts given argument into a type that either has any dynamic allocation on AD stack or schedules i...
Definition to_arena.hpp:25
fvar< T > sqrt(const fvar< T > &x)
Definition sqrt.hpp:17
fvar< T > inv_sqrt(const fvar< T > &x)
Definition inv_sqrt.hpp:12
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...