diff --git a/src/mynonlinearity.hh b/src/mynonlinearity.hh
index 7e2bda65122340323b739f6893e534290a8ef209..b0fb20d57813633f77e2d634dbf29300bc2b3562 100644
--- a/src/mynonlinearity.hh
+++ b/src/mynonlinearity.hh
@@ -15,8 +15,8 @@
 namespace Dune {
 template <int dimension> class MyNonlinearity {
 public:
-  typedef Dune::FieldVector<double, dimension> VectorType;
-  typedef Dune::FieldMatrix<double, dimension, dimension> MatrixType;
+  typedef FieldVector<double, dimension> VectorType;
+  typedef FieldMatrix<double, dimension, dimension> MatrixType;
 
   MyNonlinearity(NiceFunction const &func) : func_(func) {}
 
diff --git a/src/samplefunctional.hh b/src/samplefunctional.hh
index 9403f9ea639f9f4a906cb31a5549c2b5c3b03713..8e9db33b07dde806443075b07dec776c91c69763 100644
--- a/src/samplefunctional.hh
+++ b/src/samplefunctional.hh
@@ -16,8 +16,8 @@
 namespace Dune {
 template <int dimension> class SampleFunctional {
 public:
-  typedef Dune::FieldVector<double, dimension> SmallVector;
-  typedef Dune::FieldMatrix<double, dimension, dimension> SmallMatrix;
+  typedef FieldVector<double, dimension> SmallVector;
+  typedef FieldMatrix<double, dimension, dimension> SmallMatrix;
 
   typedef MyNonlinearity<dimension> NonlinearityType;
 
@@ -64,19 +64,19 @@ template <int dimension> class SampleFunctional {
       return;
     } else if (pgx >= 0 && mgx >= 0) {
       ret = pg;
-      Dune::dverb << "## Directional derivative (as per scalar product w/ "
-                     "semigradient): " << -(ret * mg)
-                  << " (coordinates of the restriction)" << std::endl;
+      dverb << "## Directional derivative (as per scalar product w/ "
+               "semigradient): " << -(ret * mg)
+            << " (coordinates of the restriction)" << std::endl;
     } else if (pgx <= 0 && mgx <= 0) {
       ret = mg;
-      Dune::dverb << "## Directional derivative (as per scalar product w/ "
-                     "semigradient): " << -(ret * pg)
-                  << " (coordinates of the restriction)" << std::endl;
+      dverb << "## Directional derivative (as per scalar product w/ "
+               "semigradient): " << -(ret * pg)
+            << " (coordinates of the restriction)" << std::endl;
     } else {
       ret = project(smoothGradient(x), x);
-      Dune::dverb << "## Directional derivative (as per scalar product w/ "
-                     "semigradient): " << -(ret * ret)
-                  << " (coordinates of the restriction)" << std::endl;
+      dverb << "## Directional derivative (as per scalar product w/ "
+               "semigradient): " << -(ret * ret)
+            << " (coordinates of the restriction)" << std::endl;
     }
     ret *= -1;
   }
@@ -156,7 +156,7 @@ void minimise(const Functional J, const typename Functional::SmallVector x,
   { // Debug
     Interval<double> D;
     JRest.subDiff(0, D);
-    Dune::dverb
+    dverb
         << "## Directional derivative (as per subdifferential of restriction): "
         << D[1] << " (coordinates of the restriction)" << std::endl;
     assert(D[1] <=
@@ -168,8 +168,8 @@ void minimise(const Functional J, const typename Functional::SmallVector x,
   int count;
   // FIXME: The value of x_old should not matter if the factor is 1.0, correct?
   double const stepsize = bisection.minimize(JRest, 0.0, 1.0, count);
-  Dune::dverb << "Number of iterations in the bisection method: " << count
-              << std::endl;
+  dverb << "Number of iterations in the bisection method: " << count
+        << std::endl;
   ;
 
   corr = descDir;