Stan Math Library  2.12.0
reverse mode automatic differentiation
rows_dot_product.hpp
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1 #ifndef STAN_MATH_PRIM_MAT_FUN_ROWS_DOT_PRODUCT_HPP
2 #define STAN_MATH_PRIM_MAT_FUN_ROWS_DOT_PRODUCT_HPP
3 
7 
8 namespace stan {
9  namespace math {
10 
20  template<int R1, int C1, int R2, int C2>
21  inline Eigen::Matrix<double, R1, 1>
22  rows_dot_product(const Eigen::Matrix<double, R1, C1>& v1,
23  const Eigen::Matrix<double, R2, C2>& v2) {
24  check_matching_sizes("rows_dot_product", "v1", v1, "v2", v2);
25  Eigen::Matrix<double, R1, 1> ret(v1.rows(), 1);
26  for (size_type j = 0; j < v1.rows(); ++j) {
27  ret(j) = v1.row(j).dot(v2.row(j));
28  }
29  return ret;
30  }
31 
32  }
33 }
34 #endif
Eigen::Matrix< double, Eigen::Dynamic, Eigen::Dynamic >::Index size_type
Type for sizes and indexes in an Eigen matrix with double e.
Definition: typedefs.hpp:13
bool check_matching_sizes(const char *function, const char *name1, const T_y1 &y1, const char *name2, const T_y2 &y2)
Return true if two structures at the same size.
Eigen::Matrix< fvar< T >, R1, 1 > rows_dot_product(const Eigen::Matrix< fvar< T >, R1, C1 > &v1, const Eigen::Matrix< fvar< T >, R2, C2 > &v2)

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