Automatic Differentiation
 
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abs.hpp
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1#ifndef STAN_MATH_PRIM_FUN_ABS_HPP
2#define STAN_MATH_PRIM_FUN_ABS_HPP
3
10#include <cmath>
11#include <complex>
12
13namespace stan {
14namespace math {
15
24template <typename T, require_arithmetic_t<T>* = nullptr>
25inline T abs(T x) {
26 return std::abs(x);
27}
28
37template <typename T, require_complex_bt<std::is_arithmetic, T>* = nullptr>
38inline auto abs(T x) {
39 return std::hypot(x.real(), x.imag());
40}
41
50struct abs_fun {
51 template <typename T>
52 static inline auto fun(const T& x) {
53 return abs(x);
54 }
55};
56
65template <typename Container, require_ad_container_t<Container>* = nullptr>
66inline auto abs(const Container& x) {
68}
69
78template <typename Container,
80inline auto abs(const Container& x) {
81 return apply_vector_unary<Container>::apply(
82 x, [&](const auto& v) { return v.array().abs(); });
83}
84
85namespace internal {
93template <typename V>
94inline V complex_abs(const std::complex<V>& z) {
95 return hypot(z.real(), z.imag());
96}
97} // namespace internal
98
99} // namespace math
100} // namespace stan
101
102#endif
require_t< container_type_check_base< is_container, base_type_t, TypeCheck, Check... > > require_container_bt
Require type satisfies is_container.
V complex_abs(const std::complex< V > &z)
Return the absolute value of the complex argument.
Definition abs.hpp:94
fvar< T > hypot(const fvar< T > &x1, const fvar< T > &x2)
Return the length of the hypotenuse of a right triangle with opposite and adjacent side lengths given...
Definition hypot.hpp:26
fvar< T > abs(const fvar< T > &x)
Definition abs.hpp:15
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...
static auto fun(const T &x)
Definition abs.hpp:52
Return elementwise absolute value of the specified real-valued container.
Definition abs.hpp:50
Base template class for vectorization of unary scalar functions defined by a template class F to a sc...