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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_multiplicable.hpp>#include <stan/agrad/rev/var.hpp>#include <stan/agrad/rev/matrix/typedefs.hpp>#include <stan/math/error_handling/matrix/check_square.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<int R1, int C1, int R2, int C2> | |
| Eigen::Matrix< var, R1, C2 > | stan::agrad::mdivide_left (const Eigen::Matrix< var, R1, C1 > &A, const Eigen::Matrix< var, R2, C2 > &b) |
| template<int R1, int C1, int R2, int C2> | |
| Eigen::Matrix< var, R1, C2 > | stan::agrad::mdivide_left (const Eigen::Matrix< var, R1, C1 > &A, const Eigen::Matrix< double, R2, C2 > &b) |
| template<int R1, int C1, int R2, int C2> | |
| Eigen::Matrix< var, R1, C2 > | stan::agrad::mdivide_left (const Eigen::Matrix< double, R1, C1 > &A, const Eigen::Matrix< var, R2, C2 > &b) |
| vari** _variRefA |
Definition at line 23 of file mdivide_left.hpp.
| vari** _variRefB |
Definition at line 24 of file mdivide_left.hpp.
| vari** _variRefC |
Definition at line 25 of file mdivide_left.hpp.
| double* A_ |
Definition at line 21 of file mdivide_left.hpp.
| double* C_ |
Definition at line 22 of file mdivide_left.hpp.
| int M_ |
Definition at line 19 of file mdivide_left.hpp.
| int N_ |
Definition at line 20 of file mdivide_left.hpp.