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Stan Math Library
2.14.0
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... | |