Stan Math Library
4.9.0
Automatic Differentiation
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#include <stan/math/prim/meta.hpp>
#include <stan/math/prim/err.hpp>
#include <stan/math/prim/fun/Eigen.hpp>
#include <stan/math/prim/fun/dot_product.hpp>
#include <stan/math/prim/fun/dot_self.hpp>
#include <stan/math/prim/fun/square.hpp>
#include <vector>
Go to the source code of this file.
Namespaces | |
namespace | stan |
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation from C or the boost::math::lgamma implementation. | |
namespace | stan::math |
Matrices and templated mathematical functions. | |
Functions | |
template<typename T_x , typename T_sigma > | |
Eigen::Matrix< return_type_t< T_x, T_sigma >, Eigen::Dynamic, Eigen::Dynamic > | stan::math::gp_dot_prod_cov (const std::vector< Eigen::Matrix< T_x, Eigen::Dynamic, 1 > > &x, const T_sigma &sigma) |
Returns a dot product covariance matrix. | |
template<typename T_x , typename T_sigma > | |
Eigen::Matrix< return_type_t< T_x, T_sigma >, Eigen::Dynamic, Eigen::Dynamic > | stan::math::gp_dot_prod_cov (const std::vector< T_x > &x, const T_sigma &sigma) |
Returns a dot product covariance matrix. | |
template<typename T_x1 , typename T_x2 , typename T_sigma > | |
Eigen::Matrix< return_type_t< T_x1, T_x2, T_sigma >, Eigen::Dynamic, Eigen::Dynamic > | stan::math::gp_dot_prod_cov (const std::vector< Eigen::Matrix< T_x1, Eigen::Dynamic, 1 > > &x1, const std::vector< Eigen::Matrix< T_x2, Eigen::Dynamic, 1 > > &x2, const T_sigma &sigma) |
Returns a dot product covariance matrix of differing x's. | |
template<typename T_x1 , typename T_x2 , typename T_sigma > | |
Eigen::Matrix< return_type_t< T_x1, T_x2, T_sigma >, Eigen::Dynamic, Eigen::Dynamic > | stan::math::gp_dot_prod_cov (const std::vector< T_x1 > &x1, const std::vector< T_x2 > &x2, const T_sigma &sigma) |
Returns a dot product covariance matrix of differing x's. | |