Automatic Differentiation
 
Loading...
Searching...
No Matches
fmod.hpp
Go to the documentation of this file.
1#ifndef STAN_MATH_PRIM_FUN_FMOD_HPP
2#define STAN_MATH_PRIM_FUN_FMOD_HPP
3
6#include <cmath>
7
8namespace stan {
9namespace math {
10
21template <typename T1, typename T2, require_all_arithmetic_t<T1, T2>* = nullptr>
22inline double fmod(const T1& a, const T2& b) {
23 return std::fmod(a, b);
24}
25
36template <typename T1, typename T2, require_any_container_t<T1, T2>* = nullptr>
37inline auto fmod(const T1& a, const T2& b) {
38 return apply_scalar_binary(a, b, [&](const auto& c, const auto& d) {
39 using std::fmod;
40 return fmod(c, d);
41 });
42}
43
44} // namespace math
45} // namespace stan
46#endif
fvar< T > fmod(const fvar< T > &x1, const fvar< T > &x2)
Definition fmod.hpp:15
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