Automatic Differentiation
 
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erfc.hpp
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1#ifndef STAN_MATH_PRIM_FUN_ERFC_HPP
2#define STAN_MATH_PRIM_FUN_ERFC_HPP
3
6#include <cmath>
7
8namespace stan {
9namespace math {
10
11template <typename T, require_arithmetic_t<T>* = nullptr>
12inline auto erfc(T&& x) {
13 return std::erfc(x);
14}
15
24struct erfc_fun {
25 template <typename T>
26 static inline auto fun(T&& x) {
27 return erfc(std::forward<T>(x));
28 }
29};
30
39template <
40 typename T,
43inline auto erfc(T&& x) {
44 return apply_scalar_unary<erfc_fun, T>::apply(std::forward<T>(x));
45}
46
47} // namespace math
48} // namespace stan
49
50#endif
require_t< is_container< std::decay_t< T > > > require_container_t
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 > erfc(const fvar< T > &x)
Definition erfc.hpp:16
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(T &&x)
Definition erfc.hpp:26
Structure to wrap the erfc() so that it can be vectorized.
Definition erfc.hpp:24