30 #ifndef SPARSELU_PANEL_DFS_H 31 #define SPARSELU_PANEL_DFS_H 34 #include "./InternalHeaderCheck.h" 40 template <
typename IndexVector>
41 struct panel_dfs_traits {
42 typedef typename IndexVector::Scalar StorageIndex;
43 panel_dfs_traits(
Index jcol, StorageIndex* marker) : m_jcol(jcol), m_marker(marker) {}
44 bool update_segrep(
Index krep, StorageIndex jj) {
45 if (m_marker[krep] < m_jcol) {
51 void mem_expand(IndexVector& ,
Index ,
Index ) {}
52 enum { ExpandMem =
false };
54 StorageIndex* m_marker;
57 template <
typename Scalar,
typename StorageIndex>
58 template <
typename Traits>
59 void SparseLUImpl<Scalar, StorageIndex>::dfs_kernel(
const StorageIndex jj, IndexVector& perm_r,
Index& nseg,
60 IndexVector& panel_lsub, IndexVector& segrep,
61 Ref<IndexVector> repfnz_col, IndexVector& xprune,
62 Ref<IndexVector> marker, IndexVector& parent, IndexVector& xplore,
63 GlobalLU_t& glu,
Index& nextl_col,
Index krow, Traits& traits) {
64 StorageIndex kmark = marker(krow);
68 StorageIndex kperm = perm_r(krow);
69 if (kperm == emptyIdxLU) {
71 panel_lsub(nextl_col++) = StorageIndex(krow);
73 traits.mem_expand(panel_lsub, nextl_col, kmark);
78 StorageIndex krep = glu.xsup(glu.supno(kperm) + 1) - 1;
80 StorageIndex myfnz = repfnz_col(krep);
82 if (myfnz != emptyIdxLU) {
84 if (myfnz > kperm) repfnz_col(krep) = kperm;
88 StorageIndex oldrep = emptyIdxLU;
89 parent(krep) = oldrep;
90 repfnz_col(krep) = kperm;
91 StorageIndex xdfs = glu.xlsub(krep);
92 Index maxdfs = xprune(krep);
97 while (xdfs < maxdfs) {
98 StorageIndex kchild = glu.lsub(xdfs);
100 StorageIndex chmark = marker(kchild);
104 StorageIndex chperm = perm_r(kchild);
106 if (chperm == emptyIdxLU) {
108 panel_lsub(nextl_col++) = kchild;
109 traits.mem_expand(panel_lsub, nextl_col, chmark);
114 StorageIndex chrep = glu.xsup(glu.supno(chperm) + 1) - 1;
115 myfnz = repfnz_col(chrep);
117 if (myfnz != emptyIdxLU) {
118 if (myfnz > chperm) repfnz_col(chrep) = chperm;
123 parent(krep) = oldrep;
124 repfnz_col(krep) = chperm;
125 xdfs = glu.xlsub(krep);
126 maxdfs = xprune(krep);
139 if (traits.update_segrep(krep, jj))
148 if (kpar == emptyIdxLU)
break;
151 maxdfs = xprune(krep);
153 }
while (kpar != emptyIdxLU);
196 template <
typename Scalar,
typename StorageIndex>
208 panel_dfs_traits<IndexVector> traits(jcol, marker1.data());
211 for (StorageIndex jj = StorageIndex(jcol); jj < jcol + w; jj++) {
212 nextl_col = (jj - jcol) * m;
218 for (
typename MatrixType::InnerIterator it(A, jj); it; ++it) {
219 Index krow = it.row();
220 dense_col(krow) = it.value();
222 StorageIndex kmark = marker(krow);
223 if (kmark == jj)
continue;
225 dfs_kernel(jj, perm_r, nseg, panel_lsub, segrep, repfnz_col, xprune, marker, parent, xplore, glu, nextl_col, krow,
235 #endif // SPARSELU_PANEL_DFS_H A versatible sparse matrix representation.
Definition: SparseMatrix.h:121
Namespace containing all symbols from the Eigen library.
Definition: B01_Experimental.dox:1
void panel_dfs(const Index m, const Index w, const Index jcol, MatrixType &A, IndexVector &perm_r, Index &nseg, ScalarVector &dense, IndexVector &panel_lsub, IndexVector &segrep, IndexVector &repfnz, IndexVector &xprune, IndexVector &marker, IndexVector &parent, IndexVector &xplore, GlobalLU_t &glu)
Performs a symbolic factorization on a panel of columns [jcol, jcol+w)
Definition: SparseLU_panel_dfs.h:197
Expression of a fixed-size or dynamic-size sub-vector.
Definition: ForwardDeclarations.h:98
EIGEN_DEFAULT_DENSE_INDEX_TYPE Index
The Index type as used for the API.
Definition: Meta.h:82
The matrix class, also used for vectors and row-vectors.
Definition: Matrix.h:186