diff --git a/Eigen/src/Sparse/CholmodSupport.h b/Eigen/src/Sparse/CholmodSupport.h
index 0e51f1d67..d1d10158a 100644
--- a/Eigen/src/Sparse/CholmodSupport.h
+++ b/Eigen/src/Sparse/CholmodSupport.h
@@ -120,7 +120,7 @@ class SparseLLT<MatrixType,Cholmod> : public SparseLLT<MatrixType>
     }
 
     SparseLLT(const MatrixType& matrix, int flags = 0)
-      : Base(matrix, flags), m_cholmodFactor(0)
+      : Base(flags), m_cholmodFactor(0)
     {
       cholmod_start(&m_cholmod);
       compute(matrix);
diff --git a/Eigen/src/Sparse/SparseLLT.h b/Eigen/src/Sparse/SparseLLT.h
index e0d923075..7578a12c7 100644
--- a/Eigen/src/Sparse/SparseLLT.h
+++ b/Eigen/src/Sparse/SparseLLT.h
@@ -154,7 +154,7 @@ void SparseLLT<MatrixType,Backend>::compute(const MatrixType& a)
     }
     for (int k=0; k<j+1; ++k)
     {
-      typename MatrixType::InnerIterator it(m_matrix, k);
+      typename CholMatrixType::InnerIterator it(m_matrix, k);
       while (it && it.index()<j)
         ++it;
       if (it && it.index()==j)
diff --git a/Eigen/src/Sparse/SuperLUSupport.h b/Eigen/src/Sparse/SuperLUSupport.h
index 9ffadb053..fd2899f06 100644
--- a/Eigen/src/Sparse/SuperLUSupport.h
+++ b/Eigen/src/Sparse/SuperLUSupport.h
@@ -225,7 +225,7 @@ class SparseLU<MatrixType,SuperLU> : public SparseLU<MatrixType>
     }
 
     SparseLU(const MatrixType& matrix, int flags = NaturalOrdering)
-      : Base(matrix, flags)
+      : Base(flags)
     {
       compute(matrix);
     }
@@ -312,7 +312,7 @@ void SparseLU<MatrixType,SuperLU>::compute(const MatrixType& a)
   StatFree(&m_sluStat);
 
   // FIXME how to check for errors ???
-  m_succeeded = true;
+  Base::m_succeeded = true;
 }
 
 // template<typename MatrixType>
diff --git a/Eigen/src/Sparse/TaucsSupport.h b/Eigen/src/Sparse/TaucsSupport.h
index a92a63b57..5edf0fc27 100644
--- a/Eigen/src/Sparse/TaucsSupport.h
+++ b/Eigen/src/Sparse/TaucsSupport.h
@@ -99,7 +99,7 @@ class SparseLLT<MatrixType,Taucs> : public SparseLLT<MatrixType>
     }
 
     SparseLLT(const MatrixType& matrix, int flags = 0)
-      : Base(matrix, flags), m_taucsSupernodalFactor(0)
+      : Base(flags), m_taucsSupernodalFactor(0)
     {
       compute(matrix);
     }