dist.hpp File Reference

#include <vector>
#include <stan/math/matrix/Eigen.hpp>
#include <stan/math/matrix/typedefs.hpp>
#include <stan/math/matrix/validate_vector.hpp>
#include <stan/math/matrix/validate_matching_sizes.hpp>
#include <stan/agrad/rev/var.hpp>
#include <stan/agrad/rev/vari.hpp>
#include <stan/agrad/rev/sqrt.hpp>
#include <stan/agrad/rev/matrix/typedefs.hpp>

Go to the source code of this file.

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

Functions
template<int R1, int C1, int R2, int C2>
var	stan::agrad::squared_dist (const Eigen::Matrix< var, R1, C1 > &v1, const Eigen::Matrix< var, R2, C2 > &v2)
template<int R1, int C1, int R2, int C2>
var	stan::agrad::squared_dist (const Eigen::Matrix< var, R1, C1 > &v1, const Eigen::Matrix< double, R2, C2 > &v2)
template<int R1, int C1, int R2, int C2>
var	stan::agrad::squared_dist (const Eigen::Matrix< double, R1, C1 > &v1, const Eigen::Matrix< var, R2, C2 > &v2)
template<int R1, int C1, int R2, int C2>
var	stan::agrad::dist (const Eigen::Matrix< var, R1, C1 > &v1, const Eigen::Matrix< var, R2, C2 > &v2)
template<int R1, int C1, int R2, int C2>
var	stan::agrad::dist (const Eigen::Matrix< var, R1, C1 > &v1, const Eigen::Matrix< double, R2, C2 > &v2)
template<int R1, int C1, int R2, int C2>
var	stan::agrad::dist (const Eigen::Matrix< double, R1, C1 > &v1, const Eigen::Matrix< var, R2, C2 > &v2)

Variable Documentation

size_t length_

Definition at line 21 of file dist.hpp.

vari** v1_

static

Definition at line 19 of file dist.hpp.

double* v2_

Definition at line 20 of file dist.hpp.