Stan Math Library  2.20.0
reverse mode automatic differentiation
log10.hpp
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1 #ifndef STAN_MATH_REV_SCAL_FUN_LOG10_HPP
2 #define STAN_MATH_REV_SCAL_FUN_LOG10_HPP
3 
4 #include <stan/math/rev/meta.hpp>
5 #include <stan/math/rev/core.hpp>
7 #include <cmath>
8 
9 namespace stan {
10 namespace math {
11 
12 namespace internal {
13 class log10_vari : public op_v_vari {
14  public:
15  const double exp_val_;
16  explicit log10_vari(vari* avi)
17  : op_v_vari(std::log10(avi->val_), avi), exp_val_(avi->val_) {}
18  void chain() { avi_->adj_ += adj_ / (LOG_10 * exp_val_); }
19 };
20 } // namespace internal
21 
51 inline var log10(const var& a) { return var(new internal::log10_vari(a.vi_)); }
52 
53 } // namespace math
54 } // namespace stan
55 #endif
The variable implementation base class.
Definition: vari.hpp:30
const double LOG_10
The natural logarithm of 10, .
Definition: constants.hpp:43
fvar< T > log10(const fvar< T > &x)
Definition: log10.hpp:12
Independent (input) and dependent (output) variables for gradients.
Definition: var.hpp:33
friend class var
Definition: vari.hpp:32
const double val_
The value of this variable.
Definition: vari.hpp:38
void chain()
Apply the chain rule to this variable based on the variables on which it depends. ...
Definition: log10.hpp:18
vari * vi_
Pointer to the implementation of this variable.
Definition: var.hpp:45
double adj_
The adjoint of this variable, which is the partial derivative of this variable with respect to the ro...
Definition: vari.hpp:44

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