Automatic Differentiation
 
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inv_cloglog.hpp
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1#ifndef STAN_MATH_REV_FUN_INV_CLOGLOG_HPP
2#define STAN_MATH_REV_FUN_INV_CLOGLOG_HPP
3
7#include <cmath>
8
9namespace stan {
10namespace math {
11
27template <typename T, require_stan_scalar_or_eigen_t<T>* = nullptr>
28inline auto inv_cloglog(const var_value<T>& a) {
29 auto precomp_exp = to_arena(as_array_or_scalar(exp(a.val() - exp(a.val()))));
30 return make_callback_var(inv_cloglog(a.val()),
31 [a, precomp_exp](auto& vi) mutable {
32 as_array_or_scalar(a.adj())
33 += as_array_or_scalar(vi.adj()) * precomp_exp;
34 });
35}
36
37} // namespace math
38} // namespace stan
39#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...
fvar< T > inv_cloglog(const fvar< T > &x)
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 > exp(const fvar< T > &x)
Definition exp.hpp:13
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...