Automatic Differentiation
 
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atan2.hpp
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1#ifndef STAN_MATH_PRIM_FUN_ATAN2_HPP
2#define STAN_MATH_PRIM_FUN_ATAN2_HPP
3
7#include <cmath>
8
9namespace stan {
10namespace math {
11
22template <typename T1, typename T2, require_all_arithmetic_t<T1, T2>* = nullptr>
23double atan2(T1 y, T2 x) {
24 return std::atan2(y, x);
25}
26
37template <typename T1, typename T2, require_any_container_t<T1, T2>* = nullptr,
38 require_all_not_var_matrix_t<T1, T2>* = nullptr>
39inline auto atan2(const T1& a, const T2& b) {
41 a, b, [](const auto& c, const auto& d) { return atan2(c, d); });
42}
43
44} // namespace math
45} // namespace stan
46
47#endif
fvar< T > atan2(const fvar< T > &x1, const fvar< T > &x2)
Definition atan2.hpp:13
auto apply_scalar_binary(const T1 &x, const T2 &y, const F &f)
Base template function for vectorization of binary scalar functions defined by applying a functor to ...
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...
Definition fvar.hpp:9