Stan Math Library  2.11.0
reverse mode automatic differentiation
sum.hpp
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1 #ifndef STAN_MATH_REV_MAT_FUN_SUM_HPP
2 #define STAN_MATH_REV_MAT_FUN_SUM_HPP
3 
6 #include <stan/math/rev/core.hpp>
8 
9 namespace stan {
10  namespace math {
11 
17  class sum_eigen_v_vari : public sum_v_vari {
18  protected:
19  template <typename Derived>
20  inline static double sum_of_val(const Eigen::DenseBase<Derived>& v) {
21  double result = 0;
22  for (int i = 0; i < v.size(); i++)
23  result += v(i).vi_->val_;
24  return result;
25  }
26 
27  public:
28  template <int R1, int C1>
29  explicit sum_eigen_v_vari(const Eigen::Matrix<var, R1, C1> &v1)
30  : sum_v_vari(sum_of_val(v1),
31  reinterpret_cast<vari**>(ChainableStack::memalloc_
32  .alloc(v1.size()
33  * sizeof(vari*))),
34  v1.size()) {
35  for (size_t i = 0; i < length_; i++)
36  v_[i] = v1(i).vi_;
37  }
38  };
39 
49  template <int R, int C>
50  inline var sum(const Eigen::Matrix<var, R, C>& m) {
51  if (m.size() == 0)
52  return 0.0;
53  return var(new sum_eigen_v_vari(m));
54  }
55 
56  }
57 }
58 #endif
fvar< T > sum(const std::vector< fvar< T > > &m)
Return the sum of the entries of the specified standard vector.
Definition: sum.hpp:20
sum_eigen_v_vari(const Eigen::Matrix< var, R1, C1 > &v1)
Definition: sum.hpp:29
static double sum_of_val(const Eigen::DenseBase< Derived > &v)
Definition: sum.hpp:20
The variable implementation base class.
Definition: vari.hpp:30
Independent (input) and dependent (output) variables for gradients.
Definition: var.hpp:31
Class for representing sums with constructors for Eigen.
Definition: sum.hpp:17
int size(const std::vector< T > &x)
Return the size of the specified standard vector.
Definition: size.hpp:17
Class for sums of variables constructed with standard vectors.
Definition: sum.hpp:14

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