Stan Math Library  2.10.0
reverse mode automatic differentiation
csr_extract_v.hpp
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1 #ifndef STAN_MATH_PRIM_MAT_FUN_CSR_EXTRACT_V_HPP
2 #define STAN_MATH_PRIM_MAT_FUN_CSR_EXTRACT_V_HPP
3 
6 #include <Eigen/Sparse>
7 #include <vector>
8 #include <numeric>
9 
10 namespace stan {
11 
12  namespace math {
13 
26  template <typename T>
27  const std::vector<int>
28  csr_extract_v(const Eigen::SparseMatrix<T, Eigen::RowMajor>& A) {
29  std::vector<int> v(A.nonZeros());
30  for (int nze = 0; nze < A.nonZeros(); ++nze)
31  v[nze] = *(A.innerIndexPtr() + nze) + stan::error_index::value;
32  return v;
33  }
34 
44  template <typename T, int R, int C>
45  const std::vector<int>
46  csr_extract_v(const Eigen::Matrix<T, R, C>& A) {
47  Eigen::SparseMatrix<T, Eigen::RowMajor> B = A.sparseView();
48  std::vector<int> v = csr_extract_v(B);
49  return v;
50  }
51  // end of csr_format group
53  }
54 }
55 
56 #endif
const std::vector< int > csr_extract_v(const Eigen::SparseMatrix< T, Eigen::RowMajor > &A)
Extract the column indexes for non-zero value from a sparse matrix.

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