Automatic Differentiation
 
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trunc.hpp
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1#ifndef STAN_MATH_PRIM_FUN_TRUNC_HPP
2#define STAN_MATH_PRIM_FUN_TRUNC_HPP
3
6#include <cmath>
7
8namespace stan {
9namespace math {
10
14struct trunc_fun {
23 template <typename T>
24 static inline auto fun(const T& x) {
25 using std::trunc;
26 return trunc(x);
27 }
28};
29
41 T>* = nullptr>
42inline auto trunc(const T& x) {
44}
45
46} // namespace math
47} // namespace stan
48
49#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.
fvar< T > trunc(const fvar< T > &x)
Return the nearest integral value that is not larger in magnitude than the specified argument.
Definition trunc.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)
Return the truncation of the specified argument to the nearest value.
Definition trunc.hpp:24
Structure to wrap trunc() so it can be vectorized.
Definition trunc.hpp:14