Automatic Differentiation
 
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fmin.hpp
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1#ifndef STAN_MATH_PRIM_FUN_FMIN_HPP
2#define STAN_MATH_PRIM_FUN_FMIN_HPP
3
6#include <cmath>
7
8namespace stan {
9namespace math {
10
19template <typename T1, typename T2, require_all_arithmetic_t<T1, T2>* = nullptr>
20inline double fmin(T1 x, T2 y) {
21 using std::fmin;
22 return fmin(x, y);
23}
24
35template <typename T1, typename T2, require_any_container_t<T1, T2>* = nullptr>
36inline auto fmin(T1&& a, T2&& b) {
38 [](auto&& c, auto&& d) {
39 return fmin(std::forward<decltype(c)>(c), std::forward<decltype(d)>(d));
40 },
41 std::forward<T1>(a), std::forward<T2>(b));
42}
43
44} // namespace math
45} // namespace stan
46#endif
fvar< T > fmin(const fvar< T > &x1, const fvar< T > &x2)
Definition fmin.hpp:14
auto apply_scalar_binary(F &&f, T1 &&x, T2 &&y)
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 ...