Automatic Differentiation
 
Loading...
Searching...
No Matches
log10.hpp
Go to the documentation of this file.
1#ifndef STAN_MATH_REV_FUN_LOG10_HPP
2#define STAN_MATH_REV_FUN_LOG10_HPP
3
12#include <cmath>
13#include <complex>
14
15namespace stan {
16namespace math {
17
48template <typename T, require_stan_scalar_or_eigen_t<T>* = nullptr>
49inline auto log10(const var_value<T>& a) {
50 return make_callback_var(log10(a.val()), [a](auto& vi) mutable {
51 as_array_or_scalar(a.adj()) += as_array_or_scalar(vi.adj())
52 / (LOG_TEN * as_array_or_scalar(a.val()));
53 });
54}
55
62inline std::complex<var> log10(const std::complex<var>& z) {
64}
65
66} // namespace math
67} // namespace stan
68#endif
std::complex< V > complex_log10(const std::complex< V > &z)
Return the base 10 logarithm of the complex argument.
Definition log10.hpp:69
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...
static constexpr double log10()
Returns the natural logarithm of ten.
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation ...