diff --git a/src/one-body-sample.cc b/src/one-body-sample.cc
index 66b550fe5dc84876d67fe9c39003cfb0c27237b6..1e9863a1ccb1101531d334c9946f1b06e12eca55 100644
--- a/src/one-body-sample.cc
+++ b/src/one-body-sample.cc
@@ -393,13 +393,13 @@ int main(int argc, char *argv[]) {
       VectorType ell(finestSize);
       createRHS(time, ell);
 
-      MatrixType problem_A;
+      MatrixType problem_AB;
       VectorType problem_rhs(finestSize);
       VectorType problem_iterate(finestSize);
 
       stateUpdater->setup(tau);
       timeSteppingScheme->setup(ell, tau, time, problem_rhs, problem_iterate,
-                                problem_A);
+                                problem_AB);
 
       LoopSolver<VectorType> velocityProblemSolver(
           multigridStep, parset.get<size_t>("solver.tnnmg.maxiterations"),
@@ -416,7 +416,7 @@ int main(int argc, char *argv[]) {
 
         using MyConvexProblemType = MyConvexProblem<MatrixType, VectorType>;
         MyConvexProblemType const myConvexProblem(
-            problem_A, *myGlobalNonlinearity, problem_rhs);
+            problem_AB, *myGlobalNonlinearity, problem_rhs);
         MyBlockProblem<MyConvexProblemType> velocityProblem(parset,
                                                             myConvexProblem);
         multigridStep->setProblem(_problem_iterate, velocityProblem);
diff --git a/src/timestepping.cc b/src/timestepping.cc
index 07339e5ca074e707c3cf347a88b10bad97db0690..695bccdbfe78bcbae446e002a8e54aeb4c225fe6 100644
--- a/src/timestepping.cc
+++ b/src/timestepping.cc
@@ -27,7 +27,7 @@ void ImplicitEuler<VectorType, MatrixType, FunctionType, dim>::nextTimeStep() {
 template <class VectorType, class MatrixType, class FunctionType, int dim>
 void ImplicitEuler<VectorType, MatrixType, FunctionType, dim>::setup(
     VectorType const &ell, double _tau, double time, VectorType &problem_rhs,
-    VectorType &problem_iterate, MatrixType &problem_A) {
+    VectorType &problem_iterate, MatrixType &problem_AB) {
   postProcessCalled = false;
 
   tau = _tau;
@@ -36,8 +36,8 @@ void ImplicitEuler<VectorType, MatrixType, FunctionType, dim>::setup(
   Arithmetic::addProduct(problem_rhs, -1.0, A, u_old);
 
   // For fixed tau, we'd only really have to do this once
-  problem_A = A;
-  problem_A *= tau;
+  problem_AB = A;
+  problem_AB *= tau;
 
   // ud_old makes a good initial iterate; we could use anything, though
   problem_iterate = ud_old;
@@ -123,7 +123,7 @@ void Newmark<VectorType, MatrixType, FunctionType, dim>::nextTimeStep() {
 template <class VectorType, class MatrixType, class FunctionType, int dim>
 void Newmark<VectorType, MatrixType, FunctionType, dim>::setup(
     VectorType const &ell, double _tau, double time, VectorType &problem_rhs,
-    VectorType &problem_iterate, MatrixType &problem_A) {
+    VectorType &problem_iterate, MatrixType &problem_AB) {
   postProcessCalled = false;
 
   tau = _tau;
@@ -138,10 +138,10 @@ void Newmark<VectorType, MatrixType, FunctionType, dim>::setup(
   Dune::MatrixIndexSet indices(A.N(), A.M());
   indices.import(A);
   indices.import(B);
-  indices.exportIdx(problem_A);
-  problem_A = 0.0;
-  Arithmetic::addProduct(problem_A, tau / 2.0, A);
-  Arithmetic::addProduct(problem_A, 2.0 / tau, B);
+  indices.exportIdx(problem_AB);
+  problem_AB = 0.0;
+  Arithmetic::addProduct(problem_AB, tau / 2.0, A);
+  Arithmetic::addProduct(problem_AB, 2.0 / tau, B);
 
   // ud_old makes a good initial iterate; we could use anything, though
   problem_iterate = ud_old;
@@ -231,7 +231,7 @@ void EulerPair<VectorType, MatrixType, FunctionType, dim>::nextTimeStep() {
 template <class VectorType, class MatrixType, class FunctionType, int dim>
 void EulerPair<VectorType, MatrixType, FunctionType, dim>::setup(
     VectorType const &ell, double _tau, double time, VectorType &problem_rhs,
-    VectorType &problem_iterate, MatrixType &problem_A) {
+    VectorType &problem_iterate, MatrixType &problem_AB) {
   postProcessCalled = false;
 
   tau = _tau;
@@ -244,10 +244,10 @@ void EulerPair<VectorType, MatrixType, FunctionType, dim>::setup(
   Dune::MatrixIndexSet indices(A.N(), A.M());
   indices.import(A);
   indices.import(B);
-  indices.exportIdx(problem_A);
-  problem_A = 0.0;
-  Arithmetic::addProduct(problem_A, tau, A);
-  Arithmetic::addProduct(problem_A, 1.0 / tau, B);
+  indices.exportIdx(problem_AB);
+  problem_AB = 0.0;
+  Arithmetic::addProduct(problem_AB, tau, A);
+  Arithmetic::addProduct(problem_AB, 1.0 / tau, B);
 
   // ud_old makes a good initial iterate; we could use anything, though
   problem_iterate = ud_old;
diff --git a/src/timestepping.hh b/src/timestepping.hh
index f38296c514e30d22bf0b22b74ad8b33698a292a8..6484dcebe8584f30b0976ec020e093c2399073c4 100644
--- a/src/timestepping.hh
+++ b/src/timestepping.hh
@@ -9,7 +9,7 @@ class TimeSteppingScheme {
   void virtual nextTimeStep() = 0;
   void virtual setup(VectorType const &ell, double _tau, double time,
                      VectorType &problem_rhs, VectorType &problem_iterate,
-                     MatrixType &problem_A) = 0;
+                     MatrixType &problem_AB) = 0;
 
   void virtual postProcess(VectorType const &problem_iterate) = 0;
   void virtual extractDisplacement(VectorType &displacement) const = 0;