Automatic Differentiation
 
Loading...
Searching...
No Matches
tanh.hpp
Go to the documentation of this file.
1#ifndef STAN_MATH_PRIM_FUN_TANH_HPP
2#define STAN_MATH_PRIM_FUN_TANH_HPP
3
10#include <cmath>
11#include <complex>
12
13namespace stan {
14namespace math {
15
23struct tanh_fun {
24 template <typename T>
25 static inline auto fun(const T& x) {
26 using std::tanh;
27 return tanh(x);
28 }
29};
30
38template <typename Container,
42 Container>* = nullptr>
43inline auto tanh(const Container& x) {
45}
46
55template <typename Container,
57inline auto tanh(const Container& x) {
59 x, [](const auto& v) { return v.array().tanh(); });
60}
61
62namespace internal {
70template <typename V>
71inline std::complex<V> complex_tanh(const std::complex<V>& z) {
72 using std::exp;
73 auto exp_z = exp(z);
74 auto exp_neg_z = exp(-z);
75 return stan::math::internal::complex_divide(exp_z - exp_neg_z,
76 exp_z + exp_neg_z);
77}
78} // namespace internal
79
80} // namespace math
81} // namespace stan
82
83#endif
require_not_t< container_type_check_base< is_container, scalar_type_t, TypeCheck, Check... > > require_not_container_st
Require type does not satisfy is_container.
require_t< container_type_check_base< is_container, scalar_type_t, TypeCheck, Check... > > require_container_st
Require type satisfies is_container.
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.
require_not_t< is_var_matrix< std::decay_t< T > > > require_not_var_matrix_t
Require type does not satisfy is_var_matrix.
complex_return_t< U, V > complex_divide(const U &lhs, const V &rhs)
Return the quotient of the specified arguments.
std::complex< V > complex_tanh(const std::complex< V > &z)
Return the hyperbolic tangent of the complex argument.
Definition tanh.hpp:71
fvar< T > tanh(const fvar< T > &x)
Definition tanh.hpp:15
fvar< T > exp(const fvar< T > &x)
Definition exp.hpp:13
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...
Base template class for vectorization of unary scalar functions defined by a template class F to a sc...
static auto fun(const T &x)
Definition tanh.hpp:25
Structure to wrap tanh() so that it can be vectorized.
Definition tanh.hpp:23