Automatic Differentiation
 
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fmax.hpp
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1#ifndef STAN_MATH_PRIM_FUN_FMAX_HPP
2#define STAN_MATH_PRIM_FUN_FMAX_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 fmax(T1 x, T2 y) {
21 using std::fmax;
22 return fmax(x, y);
23}
24
35template <typename T1, typename T2, require_any_container_t<T1, T2>* = nullptr>
36inline auto fmax(const T1& a, const T2& b) {
38 a, b, [&](const auto& c, const auto& d) { return fmax(c, d); });
39}
40
41} // namespace math
42} // namespace stan
43#endif
fvar< T > fmax(const fvar< T > &x1, const fvar< T > &x2)
Return the greater of the two specified arguments.
Definition fmax.hpp:23
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 ...