1 #ifndef STAN_MATH_REV_CORE_OPERATOR_ADDITION_HPP 2 #define STAN_MATH_REV_CORE_OPERATOR_ADDITION_HPP 20 avi_->
adj_ = std::numeric_limits<double>::quiet_NaN();
21 bvi_->
adj_ = std::numeric_limits<double>::quiet_NaN();
34 avi_->
adj_ = std::numeric_limits<double>::quiet_NaN();
The variable implementation base class.
bool is_any_nan(const T &x)
Returns true if the input is NaN and false otherwise.
void chain()
Apply the chain rule to this variable based on the variables on which it depends. ...
Independent (input) and dependent (output) variables for gradients.
const double val_
The value of this variable.
void chain()
Apply the chain rule to this variable based on the variables on which it depends. ...
add_vv_vari(vari *avi, vari *bvi)
vari * vi_
Pointer to the implementation of this variable.
fvar< T > operator+(const fvar< T > &x1, const fvar< T > &x2)
Return the sum of the specified forward mode addends.
double adj_
The adjoint of this variable, which is the partial derivative of this variable with respect to the ro...
add_vd_vari(vari *avi, double b)