diff --git a/doc/TutorialMatrixClass.dox b/doc/TutorialMatrixClass.dox
index 3e0785a1f..e489f6d54 100644
--- a/doc/TutorialMatrixClass.dox
+++ b/doc/TutorialMatrixClass.dox
@@ -277,6 +277,8 @@ Matrix<typename Scalar,
 
 Eigen defines the following Matrix typedefs:
 \li \c MatrixNt for `Matrix<type, N, N>`. For example, \c MatrixXi for `Matrix<int, Dynamic, Dynamic>`.
+\li \c MatrixXNt for `Matrix<type, Dynamic, N>`. For example, \c MatrixX3i for `Matrix<int, Dynamic, 3>`.
+\li \c MatrixNXt for `Matrix<type, N, Dynamic>`. For example, \c Matrix4Xd for `Matrix<d, 4, Dynamic>`.
 \li \c VectorNt for `Matrix<type, N, 1>`. For example, \c Vector2f for `Matrix<float, 2, 1>`.
 \li \c RowVectorNt for `Matrix<type, 1, N>`. For example, \c RowVector3d for `Matrix<double, 1, 3>`.
 
diff --git a/doc/examples/TutorialLinAlgSVDSolve.cpp b/doc/examples/TutorialLinAlgSVDSolve.cpp
index ca2e78c0c..04cbe1b2d 100644
--- a/doc/examples/TutorialLinAlgSVDSolve.cpp
+++ b/doc/examples/TutorialLinAlgSVDSolve.cpp
@@ -3,10 +3,10 @@
 
 int main()
 {
-   MatrixXf A = MatrixXf::Random(3, 2);
-   cout << "Here is the matrix A:\n" << A << endl;
-   VectorXf b = VectorXf::Random(3);
-   cout << "Here is the right hand side b:\n" << b << endl;
-   cout << "The least-squares solution is:\n"
-        << A.template bdcSvd<ComputeThinU | ComputeThinV>().solve(b) << endl;
+   Eigen::MatrixXf A = Eigen::MatrixXf::Random(3, 2);
+   std::cout << "Here is the matrix A:\n" << A << std::endl;
+   Eigen::VectorXf b = Eigen::VectorXf::Random(3);
+   std::cout << "Here is the right hand side b:\n" << b << std::endl;
+   std::cout << "The least-squares solution is:\n"
+        << A.template bdcSvd<Eigen::ComputeThinU | Eigen::ComputeThinV>().solve(b) << std::endl;
 }