1 #ifndef STAN_MATH_REV_SCAL_FUN_FMOD_HPP
2 #define STAN_MATH_REV_SCAL_FUN_FMOD_HPP
13 class fmod_vv_vari :
public op_vv_vari {
15 fmod_vv_vari(vari* avi, vari* bvi) :
16 op_vv_vari(
std::
fmod(avi->val_, bvi->val_), avi, bvi) {
21 avi_->adj_ = std::numeric_limits<double>::quiet_NaN();
22 bvi_->adj_ = std::numeric_limits<double>::quiet_NaN();
25 bvi_->adj_ -= adj_ *
static_cast<int>(avi_->val_ / bvi_->val_);
30 class fmod_vd_vari :
public op_vd_vari {
32 fmod_vd_vari(vari* avi,
double b) :
33 op_vd_vari(
std::
fmod(avi->val_, b), avi, b) {
38 avi_->adj_ = std::numeric_limits<double>::quiet_NaN();
44 class fmod_dv_vari :
public op_dv_vari {
46 fmod_dv_vari(
double a, vari* bvi) :
47 op_dv_vari(
std::
fmod(a, bvi->val_), a, bvi) {
52 bvi_->adj_ = std::numeric_limits<double>::quiet_NaN();
54 int d =
static_cast<int>(ad_ / bvi_->val_);
55 bvi_->adj_ -= adj_ * d;
104 return var(
new fmod_vv_vari(a.
vi_, b.
vi_));
121 return var(
new fmod_vd_vari(a.
vi_, b));
138 return var(
new fmod_dv_vari(a, b.
vi_));
Independent (input) and dependent (output) variables for gradients.
fvar< T > fmod(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.