1 #ifndef STAN_MATH_REV_SCAL_FUN_FLOOR_HPP 2 #define STAN_MATH_REV_SCAL_FUN_FLOOR_HPP 19 avi_->
adj_ = std::numeric_limits<double>::quiet_NaN();
void chain()
Apply the chain rule to this variable based on the variables on which it depends. ...
The variable implementation base class.
Independent (input) and dependent (output) variables for gradients.
const double val_
The value of this variable.
vari * vi_
Pointer to the implementation of this variable.
fvar< T > floor(const fvar< T > &x)
double adj_
The adjoint of this variable, which is the partial derivative of this variable with respect to the ro...
int is_nan(const fvar< T > &x)
Returns 1 if the input's value is NaN and 0 otherwise.