1 #ifndef STAN_MATH_REV_SCAL_FUN_FDIM_HPP
2 #define STAN_MATH_REV_SCAL_FUN_FDIM_HPP
13 class fdim_vv_vari :
public op_vv_vari {
15 fdim_vv_vari(vari* avi, vari* bvi) :
16 op_vv_vari(avi->val_ - bvi->val_, avi, bvi) {
21 avi_->adj_ = std::numeric_limits<double>::quiet_NaN();
22 bvi_->adj_ = std::numeric_limits<double>::quiet_NaN();
30 class fdim_vd_vari :
public op_vd_vari {
32 fdim_vd_vari(vari* avi,
double b) :
33 op_vd_vari(avi->val_ - b, avi, b) {
38 avi_->adj_ = std::numeric_limits<double>::quiet_NaN();
44 class fdim_dv_vari :
public op_dv_vari {
46 fdim_dv_vari(
double a, vari* bvi) :
47 op_dv_vari(a - bvi->val_, a, bvi) {
52 bvi_->adj_ = std::numeric_limits<double>::quiet_NaN();
113 return var(
new fdim_vv_vari(a.
vi_, b.
vi_));
139 :
var(
new fdim_dv_vari(a, b.
vi_));
162 : var(
new fdim_vd_vari(a.
vi_, b));
The variable implementation base class.
Independent (input) and dependent (output) variables for gradients.
const double val_
The value of this variable.
fvar< T > fdim(const fvar< T > &x1, const fvar< T > &x2)
vari * vi_
Pointer to the implementation of this variable.
int is_nan(const fvar< T > &x)
Returns 1 if the input's value is NaN and 0 otherwise.