Automatic Differentiation
 
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erf.hpp
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1#ifndef STAN_MATH_PRIM_FUN_ERF_HPP
2#define STAN_MATH_PRIM_FUN_ERF_HPP
3
6#include <cmath>
7
8namespace stan {
9namespace math {
10
18struct erf_fun {
19 template <typename T>
20 static inline auto fun(const T& x) {
21 using std::erf;
22 return erf(x);
23 }
24};
25
34template <
35 typename T,
38inline auto erf(const T& x) {
40}
41
42} // namespace math
43} // namespace stan
44
45#endif
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 > erf(const fvar< T > &x)
Definition erf.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(const T &x)
Definition erf.hpp:20
Structure to wrap erf() so it can be vectorized.
Definition erf.hpp:18