gp_exp_quad_cov() [1/2]

template<typename T_x , typename T_sigma , typename T_l >

Eigen::Matrix< return_type_t< T_x, T_sigma, T_l >, Eigen::Dynamic, Eigen::Dynamic > stan::math::internal::gp_exp_quad_cov ( const std::vector< T_x > &  x, const T_sigma &  sigma_sq, const T_l &  neg_half_inv_l_sq  )

inline

Returns a squared exponential kernel.

Template Parameters

T_x	type for each scalar
T_sigma	type of parameter sigma
T_l	type of parameter length scale

Parameters

x	std::vector of scalars that can be used in square distance. This function assumes each element of x is the same size.
sigma_sq	square root of the marginal standard deviation or magnitude
neg_half_inv_l_sq	The half negative inverse of the length scale

Returns

squared distance

Definition at line 36 of file gp_exp_quad_cov.hpp.