Automatic Differentiation
 
Loading...
Searching...
No Matches

◆ gp_dot_prod_cov() [2/6]

template<typename T_x , typename T_y , typename T_sigma , require_all_prim_or_rev_kernel_expression_t< T_x, T_y > * = nullptr, require_stan_scalar_t< T_sigma > * = nullptr>
auto stan::math::gp_dot_prod_cov ( const T_x &  x,
const T_y &  y,
const T_sigma  sigma 
)
inline

Dot product kernel on the GPU.

Template Parameters
T_xType of the first input matrix
T_yType of the second input matrix
T_sigmaType of the standard deviation
Parameters
xinput matrix
yinput matrix
sigmastandard deviation
Returns
dot product covariance matrix

Definition at line 51 of file gp_dot_prod_cov.hpp.