diff --git a/Eigen/src/SparseCore/SparseMatrix.h b/Eigen/src/SparseCore/SparseMatrix.h
index 272f1d7b4..91bada40f 100644
--- a/Eigen/src/SparseCore/SparseMatrix.h
+++ b/Eigen/src/SparseCore/SparseMatrix.h
@@ -1221,7 +1221,7 @@ typename SparseMatrix<_Scalar,_Options,_Index>::Scalar& SparseMatrix<_Scalar,_Op
   {
     // make sure the matrix is compatible to random un-compressed insertion:
     m_data.resize(m_data.allocatedSize());
-    this->reserveInnerVectors(Array<StorageIndex,Dynamic,1>::Constant(2*m_outerSize, convert_index(m_outerSize)));
+    this->reserveInnerVectors(Array<StorageIndex,Dynamic,1>::Constant(m_outerSize, 2));
   }
   
   return insertUncompressed(row,col);
diff --git a/test/sparse_basic.cpp b/test/sparse_basic.cpp
index 2d0f5819f..d803e7dae 100644
--- a/test/sparse_basic.cpp
+++ b/test/sparse_basic.cpp
@@ -513,4 +513,19 @@ void test_sparse_basic()
   // Regression test for bug 900: (manually insert higher values here, if you have enough RAM):
   CALL_SUBTEST_3((big_sparse_triplet<SparseMatrix<float, RowMajor, int> >(10000, 10000, 0.125)));
   CALL_SUBTEST_4((big_sparse_triplet<SparseMatrix<double, ColMajor, long int> >(10000, 10000, 0.125)));
+
+  // Regression test for bug 1105
+#ifdef EIGEN_TEST_PART_6
+  {
+    int n = Eigen::internal::random<int>(200,600);
+    SparseMatrix<std::complex<double>,0, long> mat(n, n);
+    std::complex<double> val;
+
+    for(int i=0; i<n; ++i)
+    {
+      mat.coeffRef(i, i%(n/10)) = val;
+      VERIFY(mat.data().allocatedSize()<20*n);
+    }
+  }
+#endif
 }