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Stan Math Library
2.15.0
reverse mode automatic differentiation
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#include <stan/math/rev/core.hpp>
#include <stan/math/rev/scal/fun/value_of.hpp>
#include <stan/math/prim/mat/fun/Eigen.hpp>
#include <stan/math/prim/scal/err/check_not_nan.hpp>
#include <stan/math/prim/scal/err/check_positive.hpp>
#include <stan/math/prim/scal/fun/square.hpp>
#include <stan/math/prim/scal/fun/squared_distance.hpp>
#include <stan/math/prim/scal/fun/exp.hpp>
#include <stan/math/prim/scal/meta/scalar_type.hpp>
#include <boost/math/tools/promotion.hpp>
#include <boost/utility/enable_if.hpp>
#include <boost/type_traits.hpp>
#include <vector>
#include <cmath>
Go to the source code of this file.
Classes | |
class | stan::math::cov_exp_quad_vari< T_x, T_sigma, T_l > |
This is a subclass of the vari class for precomputed gradients of cov_exp_quad. More... | |
class | stan::math::cov_exp_quad_vari< T_x, double, T_l > |
This is a subclass of the vari class for precomputed gradients of cov_exp_quad. More... | |
Namespaces | |
stan | |
stan::math | |
Matrices and templated mathematical functions. | |
Functions | |
template<typename T_x > | |
boost::enable_if_c< boost::is_same< typename scalar_type< T_x >::type, double >::value, Eigen::Matrix< var, -1, -1 > >::type | stan::math::cov_exp_quad (const std::vector< T_x > &x, const var &sigma, const var &l) |
Returns a squared exponential kernel. More... | |
template<typename T_x > | |
boost::enable_if_c< boost::is_same< typename scalar_type< T_x >::type, double >::value, Eigen::Matrix< var, -1, -1 > >::type | stan::math::cov_exp_quad (const std::vector< T_x > &x, double sigma, const var &l) |
Returns a squared exponential kernel. More... | |