Automatic Differentiation
 
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◆ gp_dot_prod_cov() [1/6]

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

Dot product kernel on the GPU.

Template Parameters
T1Type of the matrix
T2Type of sigma
Parameters
xinput matrix
sigmastandard deviation
length_scalelength scale
Returns
dot product covariance matrix that is positive semi-definite

Definition at line 27 of file gp_dot_prod_cov.hpp.