1 #ifndef STAN__AGRAD__REV__OPERATORS__OPERATOR_SUBTRACTION_HPP
2 #define STAN__AGRAD__REV__OPERATORS__OPERATOR_SUBTRACTION_HPP
8 #include <boost/math/special_functions/fpclassify.hpp>
14 class subtract_vv_vari :
public op_vv_vari {
16 subtract_vv_vari(vari* avi, vari* bvi) :
17 op_vv_vari(avi->val_ - bvi->val_, avi, bvi) {
22 avi_->adj_ = std::numeric_limits<double>::quiet_NaN();
23 bvi_->adj_ = std::numeric_limits<double>::quiet_NaN();
31 class subtract_vd_vari :
public op_vd_vari {
33 subtract_vd_vari(vari* avi,
double b) :
34 op_vd_vari(avi->val_ - b, avi, b) {
39 avi_->adj_ = std::numeric_limits<double>::quiet_NaN();
45 class subtract_dv_vari :
public op_dv_vari {
47 subtract_dv_vari(
double a, vari* bvi) :
48 op_dv_vari(a - bvi->val_, a, bvi) {
53 bvi_->adj_ = std::numeric_limits<double>::quiet_NaN();
99 return var(
new subtract_vv_vari(a.
vi_,b.
vi_));
116 return var(
new subtract_vd_vari(a.
vi_,b));
131 return var(
new subtract_dv_vari(a,b.
vi_));
bool isnan(const stan::agrad::var &v)
Checks if the given number is NaN.
fvar< T > operator-(const fvar< T > &x1, const fvar< T > &x2)
vari * vi_
Pointer to the implementation of this variable.
Independent (input) and dependent (output) variables for gradients.