Stan Math Library  2.15.0
reverse mode automatic differentiation
squared_distance.hpp
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1 #ifndef STAN_MATH_PRIM_MAT_FUN_SQUARED_DISTANCE_HPP
2 #define STAN_MATH_PRIM_MAT_FUN_SQUARED_DISTANCE_HPP
3 
8 
9 namespace stan {
10  namespace math {
11 
24  template<int R, int C>
25  inline double
26  squared_distance(const Eigen::Matrix<double, R, C>& v1,
27  const Eigen::Matrix<double, R, C>& v2) {
28  check_vector("squared_distance", "v1", v1);
29  check_vector("squared_distance", "v2", v2);
30  check_matching_sizes("squared_distance", "v1", v1, "v2", v2);
31  return (v1-v2).squaredNorm();
32  }
33 
48  template<int R1, int C1, int R2, int C2>
49  inline double
50  squared_distance(const Eigen::Matrix<double, R1, C1>& v1,
51  const Eigen::Matrix<double, R2, C2>& v2) {
52  check_vector("squared_distance", "v1", v1);
53  check_vector("squared_distance", "v2", v2);
54  check_matching_sizes("squared_distance", "v1", v1, "v2", v2);
55  return (v1.transpose()-v2).squaredNorm();
56  }
57 
58  }
59 }
60 #endif
void check_vector(const char *function, const char *name, const Eigen::Matrix< T, R, C > &x)
Check if the matrix is either a row vector or column vector.
fvar< T > squared_distance(const Eigen::Matrix< fvar< T >, R, C > &v1, const Eigen::Matrix< double, R, C > &v2)
Returns the squared distance between the specified vectors of the same dimensions.
void check_matching_sizes(const char *function, const char *name1, const T_y1 &y1, const char *name2, const T_y2 &y2)
Check if two structures at the same size.

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