11    ladel_sparse_matrix res{};
 
   12    res.nzmax    = mat.nonZeros();
 
   13    res.nrow     = mat.rows();
 
   14    res.ncol     = mat.cols();
 
   15    res.p        = mat.outerIndexPtr(); 
 
   16    res.i        = mat.innerIndexPtr(); 
 
   17    res.x        = mat.valuePtr();
 
   18    res.nz       = mat.innerNonZeroPtr();
 
   20    res.symmetry = symmetry;
 
 
   31    ladel_int nz = mat.innerNonZeroPtr() == 
nullptr ? 
FALSE : 
TRUE;
 
   32    auto res     = ::ladel_sparse_alloc(mat.rows(), mat.cols(), mat.nonZeros(),
 
   33                                        UNSYMMETRIC, 
TRUE, nz);
 
   34    assert(mat.outerSize() + 1 <= res->ncol + 1);
 
   35    std::copy_n(mat.outerIndexPtr(), mat.outerSize() + 1, res->p);
 
   36    assert(mat.nonZeros() <= res->nzmax);
 
   37    std::copy_n(mat.innerIndexPtr(), mat.nonZeros(), res->i);
 
   38    assert(mat.nonZeros() <= res->nzmax);
 
   39    std::copy_n(mat.valuePtr(), mat.nonZeros(), res->x);
 
   40    if (mat.innerNonZeroPtr() != 
nullptr) {
 
   41        assert(mat.outerSize() <= res->ncol);
 
   42        std::copy_n(mat.innerNonZeroPtr(), mat.outerSize(), res->nz);
 
 
ladel_sparse_matrix eigen_to_ladel(sparse_mat_t &mat, ladel_int symmetry=UNSYMMETRIC)
Convert an Eigen sparse matrix to a LADEL sparse matrix, without creating a copy.
 
ladel_sparse_matrix_ptr eigen_to_ladel_copy(const sparse_mat_t &mat)
Similar to eigen_to_ladel, but creates a copy of all data, in such a way that the returned matrix is ...