divide.hpp File Reference

#include <vector>
#include <stan/math/matrix/Eigen.hpp>
#include <stan/agrad/fwd.hpp>
#include <stan/agrad/fwd/operators/operator_division.hpp>
#include <stan/agrad/fwd/matrix/to_fvar.hpp>
#include <stan/agrad/fwd/matrix/typedefs.hpp>

Go to the source code of this file.

Namespaces
	stan
	Probability, optimization and sampling library.
	stan::agrad
	Function gradients via reverse-mode automatic differentiation.

Functions
template<typename T1 , typename T2 >
stan::return_type< T1, T2 >::type	stan::agrad::divide (const T1 &v, const T2 &c)
template<typename T , int R, int C>
Eigen::Matrix< fvar< T >, R, C >	stan::agrad::divide (const Eigen::Matrix< fvar< T >, R, C > &v, const fvar< T > &c)
template<typename T , int R, int C>
Eigen::Matrix< fvar< T >, R, C >	stan::agrad::divide (const Eigen::Matrix< fvar< T >, R, C > &v, const double c)
template<typename T , int R, int C>
Eigen::Matrix< fvar< T >, R, C >	stan::agrad::divide (const Eigen::Matrix< double, R, C > &v, const fvar< T > &c)
template<typename T , int R, int C>
Eigen::Matrix< fvar< T >, R, C >	stan::agrad::operator/ (const Eigen::Matrix< fvar< T >, R, C > &v, const fvar< T > &c)
template<typename T , int R, int C>
Eigen::Matrix< fvar< T >, R, C >	stan::agrad::operator/ (const Eigen::Matrix< fvar< T >, R, C > &v, const double c)
template<typename T , int R, int C>
Eigen::Matrix< fvar< T >, R, C >	stan::agrad::operator/ (const Eigen::Matrix< double, R, C > &v, const fvar< T > &c)