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Fix Index vs StorageIndex naming convention

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This commit is contained in:
Gael Guennebaud 2015-09-03 11:18:27 +02:00
parent ef2b54f422
commit 2795ffd6a0
1 changed files with 8 additions and 6 deletions
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14
Eigen/src/OrderingMethods/Ordering.h
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@ -44,14 +44,14 @@ void ordering_helper_at_plus_a(const MatrixType& mat, MatrixType& symmat)
*
* Functor computing the \em approximate \em minimum \em degree ordering
* If the matrix is not structurally symmetric, an ordering of A^T+A is computed
* \tparam Index The type of indices of the matrix
* \tparam StorageIndex The type of indices of the matrix
* \sa COLAMDOrdering
*/
template <typename Index>
template <typename StorageIndex>
class AMDOrdering
{
public:
typedef PermutationMatrix<Dynamic, Dynamic, Index> PermutationType;
typedef PermutationMatrix<Dynamic, Dynamic, StorageIndex> PermutationType;
/** Compute the permutation vector from a sparse matrix
* This routine is much faster if the input matrix is column-major
@ -60,7 +60,7 @@ class AMDOrdering
void operator()(const MatrixType& mat, PermutationType& perm)
{
// Compute the symmetric pattern
SparseMatrix<typename MatrixType::Scalar, ColMajor, Index> symm;
SparseMatrix<typename MatrixType::Scalar, ColMajor, StorageIndex> symm;
internal::ordering_helper_at_plus_a(mat,symm);
// Call the AMD routine
@ -72,7 +72,7 @@ class AMDOrdering
template <typename SrcType, unsigned int SrcUpLo>
void operator()(const SparseSelfAdjointView<SrcType, SrcUpLo>& mat, PermutationType& perm)
{
SparseMatrix<typename SrcType::Scalar, ColMajor, Index> C; C = mat;
SparseMatrix<typename SrcType::Scalar, ColMajor, StorageIndex> C; C = mat;
// Call the AMD routine
// m_mat.prune(keep_diag()); //Remove the diagonal elements
@ -88,7 +88,7 @@ class AMDOrdering
* Functor computing the natural ordering (identity)
*
* \note Returns an empty permutation matrix
* \tparam Index The type of indices of the matrix
* \tparam StorageIndex The type of indices of the matrix
*/
template <typename StorageIndex>
class NaturalOrdering
@ -108,6 +108,8 @@ class NaturalOrdering
/** \ingroup OrderingMethods_Module
* \class COLAMDOrdering
*
* \tparam StorageIndex The type of indices of the matrix
*
* Functor computing the \em column \em approximate \em minimum \em degree ordering
* The matrix should be in column-major and \b compressed format (see SparseMatrix::makeCompressed()).
*/