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fmod.hpp
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1 #ifndef STAN__AGRAD__REV__FUNCTIONS__FMOD_HPP
2 #define STAN__AGRAD__REV__FUNCTIONS__FMOD_HPP
3 
4 #include <cmath>
5 #include <stan/agrad/rev/var.hpp>
9 #include <boost/math/special_functions/fpclassify.hpp>
10 
11 namespace stan {
12  namespace agrad {
13 
14  namespace {
15  class fmod_vv_vari : public op_vv_vari {
16  public:
17  fmod_vv_vari(vari* avi, vari* bvi) :
18  op_vv_vari(std::fmod(avi->val_,bvi->val_),avi,bvi) {
19  }
20  void chain() {
21  if (unlikely(boost::math::isnan(avi_->val_)
22  || boost::math::isnan(bvi_->val_))) {
23  avi_->adj_ = std::numeric_limits<double>::quiet_NaN();
24  bvi_->adj_ = std::numeric_limits<double>::quiet_NaN();
25  } else {
26  avi_->adj_ += adj_;
27  bvi_->adj_ -= adj_ * static_cast<int>(avi_->val_ / bvi_->val_);
28  }
29  }
30  };
31 
32  class fmod_vd_vari : public op_vd_vari {
33  public:
34  fmod_vd_vari(vari* avi, double b) :
35  op_vd_vari(std::fmod(avi->val_,b),avi,b) {
36  }
37  void chain() {
38  if (unlikely(boost::math::isnan(avi_->val_)
39  || boost::math::isnan(bd_)))
40  avi_->adj_ = std::numeric_limits<double>::quiet_NaN();
41  else
42  avi_->adj_ += adj_;
43  }
44  };
45 
46  class fmod_dv_vari : public op_dv_vari {
47  public:
48  fmod_dv_vari(double a, vari* bvi) :
49  op_dv_vari(std::fmod(a,bvi->val_),a,bvi) {
50  }
51  void chain() {
52  if (unlikely(boost::math::isnan(bvi_->val_)
53  || boost::math::isnan(ad_)))
54  bvi_->adj_ = std::numeric_limits<double>::quiet_NaN();
55  else {
56  int d = static_cast<int>(ad_ / bvi_->val_);
57  bvi_->adj_ -= adj_ * d;
58  }
59  }
60  };
61  }
62 
105  inline var fmod(const var& a, const var& b) {
106  return var(new fmod_vv_vari(a.vi_,b.vi_));
107  }
108 
122  inline var fmod(const var& a, const double b) {
123  return var(new fmod_vd_vari(a.vi_,b));
124  }
125 
139  inline var fmod(const double a, const var& b) {
140  return var(new fmod_dv_vari(a,b.vi_));
141  }
142 
143  }
144 }
145 #endif
bool isnan(const stan::agrad::var &v)
Checks if the given number is NaN.
vari * vi_
Pointer to the implementation of this variable.
Definition: var.hpp:40
#define unlikely(x)
Definition: likely.hpp:9
Independent (input) and dependent (output) variables for gradients.
Definition: var.hpp:27
fvar< T > fmod(const fvar< T > &x1, const fvar< T > &x2)
Definition: fmod.hpp:16

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