Stan Math Library  2.15.0
reverse mode automatic differentiation
to_var.hpp
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1 #ifndef STAN_MATH_REV_MAT_FUN_TO_VAR_HPP
2 #define STAN_MATH_REV_MAT_FUN_TO_VAR_HPP
3 
6 #include <stan/math/rev/core.hpp>
9 
10 namespace stan {
11  namespace math {
12 
21  inline matrix_v to_var(const matrix_d& m) {
22  matrix_v m_v(m.rows(), m.cols());
23  for (int j = 0; j < m.cols(); ++j)
24  for (int i = 0; i < m.rows(); ++i)
25  m_v(i, j) = m(i, j);
26  return m_v;
27  }
36  inline matrix_v to_var(const matrix_v& m) {
37  return m;
38  }
48  inline vector_v to_var(const vector_d& v) {
49  vector_v v_v(v.size());
50  for (int i = 0; i < v.size(); ++i)
51  v_v[i] = v[i];
52  return v_v;
53  }
63  inline vector_v to_var(const vector_v& v) {
64  return v;
65  }
75  inline row_vector_v to_var(const row_vector_d& rv) {
76  row_vector_v rv_v(rv.size());
77  for (int i = 0; i < rv.size(); ++i)
78  rv_v[i] = rv[i];
79  return rv_v;
80  }
90  inline row_vector_v to_var(const row_vector_v& rv) {
91  return rv;
92  }
93 
94  }
95 }
96 #endif
Eigen::Matrix< var, Eigen::Dynamic, 1 > vector_v
The type of a (column) vector holding var values.
Definition: typedefs.hpp:28
Eigen::Matrix< double, Eigen::Dynamic, 1 > vector_d
Type for (column) vector of double values.
Definition: typedefs.hpp:29
Eigen::Matrix< double, 1, Eigen::Dynamic > row_vector_d
Type for (row) vector of double values.
Definition: typedefs.hpp:36
Eigen::Matrix< var, Eigen::Dynamic, Eigen::Dynamic > matrix_v
The type of a matrix holding var values.
Definition: typedefs.hpp:20
Eigen::Matrix< double, Eigen::Dynamic, Eigen::Dynamic > matrix_d
Type for matrix of double values.
Definition: typedefs.hpp:22
Eigen::Matrix< var, 1, Eigen::Dynamic > row_vector_v
The type of a row vector holding var values.
Definition: typedefs.hpp:36
std::vector< var > to_var(const std::vector< double > &v)
Converts argument to an automatic differentiation variable.
Definition: to_var.hpp:20

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