Stan Math Library  2.10.0
reverse mode automatic differentiation
mdivide_right.hpp
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1 #ifndef STAN_MATH_PRIM_MAT_FUN_MDIVIDE_RIGHT_HPP
2 #define STAN_MATH_PRIM_MAT_FUN_MDIVIDE_RIGHT_HPP
3 
4 #include <boost/math/tools/promotion.hpp>
10 
11 namespace stan {
12  namespace math {
13 
22  template <typename T1, typename T2, int R1, int C1, int R2, int C2>
23  inline
24  Eigen::Matrix<typename boost::math::tools::promote_args<T1, T2>::type,
25  R1, C2>
26  mdivide_right(const Eigen::Matrix<T1, R1, C1> &b,
27  const Eigen::Matrix<T2, R2, C2> &A) {
28  stan::math::check_square("mdivide_right", "A", A);
29  stan::math::check_multiplicable("mdivide_right",
30  "b", b,
31  "A", A);
32  // FIXME: This is nice and general but likely slow.
33  return transpose(mdivide_left(transpose(A), transpose(b)));
34 // return promote_common<Eigen::Matrix<T1, R2, C2>,
35 // Eigen::Matrix<T2, R2, C2> >(A)
36 // .transpose()
37 // .lu()
38 // .solve(promote_common<Eigen::Matrix<T1, R1, C1>,
39 // Eigen::Matrix<T2, R1, C1> >(b)
40 // .transpose())
41 // .transpose();
42  }
43 
44  }
45 }
46 #endif
Eigen::Matrix< fvar< T >, R1, C2 > mdivide_left(const Eigen::Matrix< fvar< T >, R1, C1 > &A, const Eigen::Matrix< fvar< T >, R2, C2 > &b)
bool check_multiplicable(const char *function, const char *name1, const T1 &y1, const char *name2, const T2 &y2)
Return true if the matrices can be multiplied.
Eigen::Matrix< T, C, R > transpose(const Eigen::Matrix< T, R, C > &m)
Definition: transpose.hpp:12
bool check_square(const char *function, const char *name, const Eigen::Matrix< T_y, Eigen::Dynamic, Eigen::Dynamic > &y)
Return true if the specified matrix is square.
Eigen::Matrix< fvar< T >, R1, C2 > mdivide_right(const Eigen::Matrix< fvar< T >, R1, C1 > &A, const Eigen::Matrix< fvar< T >, R2, C2 > &b)

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