Automatic Differentiation
 
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log10.hpp
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1#ifndef STAN_MATH_REV_FUN_LOG10_HPP
2#define STAN_MATH_REV_FUN_LOG10_HPP
3
11#include <cmath>
12#include <complex>
13
14namespace stan {
15namespace math {
16
47template <typename T, require_stan_scalar_or_eigen_t<T>* = nullptr>
48inline auto log10(const var_value<T>& a) {
49 return make_callback_var(log10(a.val()), [a](auto& vi) mutable {
50 as_array_or_scalar(a.adj()) += as_array_or_scalar(vi.adj())
51 / (LOG_TEN * as_array_or_scalar(a.val()));
52 });
53}
54
61inline std::complex<var> log10(const std::complex<var>& z) {
63}
64
65} // namespace math
66} // namespace stan
67#endif
std::complex< V > complex_log10(const std::complex< V > &z)
Return the base 10 logarithm of the complex argument.
Definition log10.hpp:89
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 ...