Automatic Differentiation
 
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atan.hpp
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1#ifndef STAN_MATH_REV_FUN_ATAN_HPP
2#define STAN_MATH_REV_FUN_ATAN_HPP
3
15#include <cmath>
16#include <complex>
17
18namespace stan {
19namespace math {
20
51inline var atan(const var& x) {
52 return make_callback_var(std::atan(x.val()), [x](const auto& vi) mutable {
53 x.adj() += vi.adj() / (1.0 + (x.val() * x.val()));
54 });
55}
56
66template <typename VarMat, require_var_matrix_t<VarMat>* = nullptr>
67inline auto atan(const VarMat& x) {
68 return make_callback_var(
69 x.val().array().atan().matrix(), [x](const auto& vi) mutable {
70 x.adj().array()
71 += vi.adj().array() / (1.0 + (x.val().array().square()));
72 });
73}
80inline std::complex<var> atan(const std::complex<var>& z) {
82}
83
84} // namespace math
85} // namespace stan
86#endif
std::complex< V > complex_atan(const std::complex< V > &z)
Return the arc tangent of the complex argument.
Definition atan.hpp:92
var_value< plain_type_t< T > > make_callback_var(T &&value, F &&functor)
Creates a new var initialized with a callback_vari with a given value and reverse-pass callback funct...
fvar< T > atan(const fvar< T > &x)
Definition atan.hpp:16
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...