Automatic Differentiation
 
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cbrt.hpp
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1#ifndef STAN_MATH_PRIM_FUN_CBRT_HPP
2#define STAN_MATH_PRIM_FUN_CBRT_HPP
3
6#include <cmath>
7
8namespace stan {
9namespace math {
10
18struct cbrt_fun {
19 template <typename T>
20 static inline auto fun(const T& x) {
21 using std::cbrt;
22 return cbrt(x);
23 }
24};
25
34template <
35 typename T, require_not_var_matrix_t<T>* = nullptr,
37inline auto cbrt(const T& x) {
39}
40
41} // namespace math
42} // namespace stan
43
44#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 > cbrt(const fvar< T > &x)
Return cube root of specified argument.
Definition cbrt.hpp:20
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...
Definition fvar.hpp:9
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 cbrt.hpp:20
Structure to wrap cbrt() so it can be vectorized.
Definition cbrt.hpp:18