Automatic Differentiation
 
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inv_cloglog.hpp
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1#ifndef STAN_MATH_PRIM_FUN_INV_CLOGLOG_HPP
2#define STAN_MATH_PRIM_FUN_INV_CLOGLOG_HPP
3
8#include <cmath>
9
10namespace stan {
11namespace math {
12
48inline double inv_cloglog(double x) {
49 using std::exp;
50 return 1. - exp(-exp(x));
51}
52
61 template <typename T>
62 static inline auto fun(const T& x) {
63 return inv_cloglog(x);
64 }
65};
66
74template <typename Container,
78 Container>* = nullptr>
79inline auto inv_cloglog(const Container& x) {
81}
82
91template <typename Container,
93inline auto inv_cloglog(const Container& x) {
95 x, [](const auto& v) { return 1 - (-v.array().exp()).exp(); });
96}
97
98} // namespace math
99} // namespace stan
100
101#endif
require_not_t< container_type_check_base< is_container, scalar_type_t, TypeCheck, Check... > > require_not_container_st
Require type does not satisfy is_container.
require_t< container_type_check_base< is_container, scalar_type_t, TypeCheck, Check... > > require_container_st
Require type satisfies is_container.
require_all_not_t< is_nonscalar_prim_or_rev_kernel_expression< std::decay_t< Types > >... > require_all_not_nonscalar_prim_or_rev_kernel_expression_t
Require none of the types satisfy is_nonscalar_prim_or_rev_kernel_expression.
require_not_t< is_var_matrix< std::decay_t< T > > > require_not_var_matrix_t
Require type does not satisfy is_var_matrix.
fvar< T > inv_cloglog(const fvar< T > &x)
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 ...
Base template class for vectorization of unary scalar functions defined by a template class F to a sc...
static auto fun(const T &x)
Structure to wrap inv_cloglog() so that it can be vectorized.