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Stan
2.5.0
probability, sampling & optimization
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#include <vector>#include <stan/math/matrix/Eigen.hpp>#include <stan/math/matrix/typedefs.hpp>#include <stan/math/error_handling/matrix/check_matching_dims.hpp>#include <stan/agrad/fwd/matrix/typedefs.hpp>#include <stan/agrad/fwd/matrix/dot_product.hpp>#include <stan/agrad/fwd/fvar.hpp>Go to the source code of this file.
Namespaces | |
| stan | |
| Probability, optimization and sampling library. | |
| stan::agrad | |
| Function gradients via reverse-mode automatic differentiation. | |
Functions | |
| template<typename T , int R1, int C1, int R2, int C2> | |
| Eigen::Matrix< fvar< T >, 1, C1 > | stan::agrad::columns_dot_product (const Eigen::Matrix< fvar< T >, R1, C1 > &v1, const Eigen::Matrix< fvar< T >, R2, C2 > &v2) |
| template<typename T , int R1, int C1, int R2, int C2> | |
| Eigen::Matrix< fvar< T >, 1, C1 > | stan::agrad::columns_dot_product (const Eigen::Matrix< fvar< T >, R1, C1 > &v1, const Eigen::Matrix< double, R2, C2 > &v2) |
| template<typename T , int R1, int C1, int R2, int C2> | |
| Eigen::Matrix< fvar< T >, 1, C1 > | stan::agrad::columns_dot_product (const Eigen::Matrix< double, R1, C1 > &v1, const Eigen::Matrix< fvar< T >, R2, C2 > &v2) |