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-rw-r--r--Eigen/src/SPQRSupport/SuiteSparseQRSupport.h4
1 files changed, 2 insertions, 2 deletions
diff --git a/Eigen/src/SPQRSupport/SuiteSparseQRSupport.h b/Eigen/src/SPQRSupport/SuiteSparseQRSupport.h
index ac2de9b04..d2f053fa5 100644
--- a/Eigen/src/SPQRSupport/SuiteSparseQRSupport.h
+++ b/Eigen/src/SPQRSupport/SuiteSparseQRSupport.h
@@ -48,7 +48,7 @@ namespace Eigen {
* You can then apply it to a vector.
*
* R is the sparse triangular factor. Use matrixQR() to get it as SparseMatrix.
- * NOTE : The Index type of R is always UF_long. You can get it with SPQR::Index
+ * NOTE : The Index type of R is always SuiteSparse_long. You can get it with SPQR::Index
*
* \tparam _MatrixType The type of the sparse matrix A, must be a column-major SparseMatrix<>
*
@@ -65,7 +65,7 @@ class SPQR : public SparseSolverBase<SPQR<_MatrixType> >
public:
typedef typename _MatrixType::Scalar Scalar;
typedef typename _MatrixType::RealScalar RealScalar;
- typedef UF_long StorageIndex ;
+ typedef SuiteSparse_long StorageIndex ;
typedef SparseMatrix<Scalar, ColMajor, StorageIndex> MatrixType;
typedef Map<PermutationMatrix<Dynamic, Dynamic, StorageIndex> > PermutationType;
public: