1 #ifndef STAN_MATH_REV_CORE_OPERATOR_DIVISION_HPP 2 #define STAN_MATH_REV_CORE_OPERATOR_DIVISION_HPP 22 avi_->
adj_ = std::numeric_limits<double>::quiet_NaN();
23 bvi_->
adj_ = std::numeric_limits<double>::quiet_NaN();
36 avi_->
adj_ = std::numeric_limits<double>::quiet_NaN();
fvar< T > operator/(const fvar< T > &x1, const fvar< T > &x2)
Return the result of dividing the first argument by the second.
The variable implementation base class.
bool is_any_nan(const T &x)
Returns true if the input is NaN and false otherwise.
Independent (input) and dependent (output) variables for gradients.
void chain()
Apply the chain rule to this variable based on the variables on which it depends. ...
const double val_
The value of this variable.
divide_vv_vari(vari *avi, vari *bvi)
vari * vi_
Pointer to the implementation of this variable.
void chain()
Apply the chain rule to this variable based on the variables on which it depends. ...
double adj_
The adjoint of this variable, which is the partial derivative of this variable with respect to the ro...
divide_vd_vari(vari *avi, double b)
divide_dv_vari(double a, vari *bvi)
void chain()
Apply the chain rule to this variable based on the variables on which it depends. ...