diff --git a/src/bisection-example-new.cc b/src/bisection-example-new.cc
index 28540f2d046684f14945964b32ab2f30f90c9d8f..fffe690031efc0e01ae76060b31bbdb4a0a683b2 100644
--- a/src/bisection-example-new.cc
+++ b/src/bisection-example-new.cc
@@ -20,13 +20,13 @@ class SampleFunctional {
   typedef Dune::FieldMatrix<double, dimension, dimension> SmallMatrix;
   typedef Function FunctionType;
 
-  SampleFunctional(SmallMatrix A, SmallVector b) : A_(A), b_(b), func_() {}
+  SampleFunctional(SmallMatrix _A, SmallVector _b) : A(_A), b(_b), func_() {}
 
   double operator()(const SmallVector v) const {
     SmallVector y;
-    A_.mv(v, y);                        // y = Av
+    A.mv(v, y);                         // y = Av
     y /= 2;                             // y = 1/2 Av
-    y -= b_;                            // y = 1/2 Av - b
+    y -= b;                             // y = 1/2 Av - b
     return y * v + func_(v.two_norm()); // <1/2 Av - b,v> + H(|v|)
   }
 
@@ -60,8 +60,8 @@ class SampleFunctional {
     return ret;
   }
 
-  SmallMatrix A_;
-  SmallVector b_;
+  SmallMatrix A;
+  SmallVector b;
 
 private:
   Function func_;
@@ -69,8 +69,8 @@ class SampleFunctional {
   // Gradient of the smooth part
   SmallVector SmoothGrad(const SmallVector x) const {
     SmallVector y;
-    A_.mv(x, y); // y = Av
-    y -= b_;     // y = Av - b
+    A.mv(x, y); // y = Av
+    y -= b;     // y = Av - b
     return y;
   }
 
@@ -112,11 +112,11 @@ typename Functional::SmallVector minimise(
   */
   typename Functional::SmallVector tmp;
 
-  J.A_.mv(descDir, tmp);               // Av
+  J.A.mv(descDir, tmp);                // Av
   double const rest_A = tmp * descDir; // <Av,v>
 
-  J.A_.mv(x, tmp);                              // Au
-  double const rest_b = (J.b_ - tmp) * descDir; // <b-Au,v>
+  J.A.mv(x, tmp);                              // Au
+  double const rest_b = (J.b - tmp) * descDir; // <b-Au,v>
 
   typedef MyNonlinearity<Functional::SmallVector::dimension,
                          typename Functional::FunctionType> MyNonlinearityType;