Update pySDC/tutorial/step_9/B_paradiag_for_nonlinear_problems.py

Co-authored-by: Josh Hope-Collins <[email protected]>

Author: brownbaerchen

pySDC/tutorial/step_9/B_paradiag_for_nonlinear_problems.py

@@ -175,7 +175,7 @@ def residual(_u, u0):
     # compute all-at-once residual
     res = residual(sol_paradiag, u0)
 
-    # compute residual averaged across the L steps and M nodes. This is the difference to ParaDiag for linear problems.
+    # compute solution averaged across the L steps and M nodes. This is the difference to ParaDiag for linear problems.
     u_avg = prob.u_init
     u_avg[:] = np.mean(sol_paradiag, axis=(0, 1))