Apply suggestions from code review

Author: DanielDoehring

src/equations/compressible_navier_stokes_1d.jl

@@ -216,7 +216,7 @@ end
 end
 
 # Takes the solution values `u` and gradient of the entropy variables (w_1, w_2, w_3) and
-# reverse engineers the gradients to be terms of the primitive variables (v1, T).
+# reverse engineers the gradients to be terms of the primitive variables (rho, v1, T).
 # Helpful because then the diffusive fluxes have the same form as on paper.
 # Note, the first component of `gradient_entropy_vars` contains gradient(rho) which is unused.
 # TODO: parabolic; entropy stable viscous terms
@@ -230,7 +230,7 @@ end
                                                  equations::CompressibleNavierStokesDiffusion1D{GradientVariablesEntropy})
 
     # TODO: parabolic. This is inefficient to pass in transformed variables but then transform them back.
-    # We can fix this if we directly compute v1, T from the entropy variables
+    # We can fix this if we directly compute rho, v1, T from the entropy variables
     u = entropy2cons(w, equations) # calls a "modified" entropy2cons defined for CompressibleNavierStokesDiffusion1D
     rho, rho_v1, _ = u