1 #ifndef STAN__AGRAD__REV__OPERATORS__OPERATOR_DIVISION_HPP
2 #define STAN__AGRAD__REV__OPERATORS__OPERATOR_DIVISION_HPP
8 #include <boost/math/special_functions/fpclassify.hpp>
15 class divide_vv_vari :
public op_vv_vari {
17 divide_vv_vari(vari* avi, vari* bvi) :
18 op_vv_vari(avi->val_ / bvi->val_, avi, bvi) {
23 avi_->adj_ = std::numeric_limits<double>::quiet_NaN();
24 bvi_->adj_ = std::numeric_limits<double>::quiet_NaN();
26 avi_->adj_ += adj_ / bvi_->val_;
27 bvi_->adj_ -= adj_ * avi_->val_ / (bvi_->val_ * bvi_->val_);
32 class divide_vd_vari :
public op_vd_vari {
34 divide_vd_vari(vari* avi,
double b) :
35 op_vd_vari(avi->val_ / b, avi, b) {
40 avi_->adj_ = std::numeric_limits<double>::quiet_NaN();
42 avi_->adj_ += adj_ / bd_;
46 class divide_dv_vari :
public op_dv_vari {
48 divide_dv_vari(
double a, vari* bvi) :
49 op_dv_vari(a / bvi->val_, a, bvi) {
52 bvi_->adj_ -= adj_ * ad_ / (bvi_->val_ * bvi_->val_);
96 return var(
new divide_vv_vari(a.
vi_,b.
vi_));
113 return var(
new divide_vd_vari(a.
vi_,b));
128 return var(
new divide_dv_vari(a,b.
vi_));
bool isnan(const stan::agrad::var &v)
Checks if the given number is NaN.
Eigen::Matrix< fvar< T >, R, C > operator/(const Eigen::Matrix< fvar< T >, R, C > &v, const fvar< T > &c)
vari * vi_
Pointer to the implementation of this variable.
Independent (input) and dependent (output) variables for gradients.