Stan Math Library  2.15.0
reverse mode automatic differentiation
operator_unary_increment.hpp
Go to the documentation of this file.
1 #ifndef STAN_MATH_REV_CORE_OPERATOR_UNARY_INCREMENT_HPP
2 #define STAN_MATH_REV_CORE_OPERATOR_UNARY_INCREMENT_HPP
3 
7 #include <limits>
8 
9 namespace stan {
10  namespace math {
11 
12  namespace {
13  class increment_vari : public op_v_vari {
14  public:
15  explicit increment_vari(vari* avi) :
16  op_v_vari(avi->val_ + 1.0, avi) {
17  }
18  void chain() {
19  if (unlikely(is_nan(avi_->val_)))
20  avi_->adj_ = std::numeric_limits<double>::quiet_NaN();
21  else
22  avi_->adj_ += adj_;
23  }
24  };
25  }
26 
36  inline var& operator++(var& a) {
37  a.vi_ = new increment_vari(a.vi_);
38  return a;
39  }
40 
52  inline var operator++(var& a, int /*dummy*/) {
53  var temp(a);
54  a.vi_ = new increment_vari(a.vi_);
55  return temp;
56  }
57 
58  }
59 }
60 #endif
var & operator++(var &a)
Prefix increment operator for variables (C++).
Independent (input) and dependent (output) variables for gradients.
Definition: var.hpp:30
#define unlikely(x)
Definition: likely.hpp:9
vari * vi_
Pointer to the implementation of this variable.
Definition: var.hpp:42
int is_nan(const fvar< T > &x)
Returns 1 if the input&#39;s value is NaN and 0 otherwise.
Definition: is_nan.hpp:21

     [ Stan Home Page ] © 2011–2016, Stan Development Team.