diff --git a/docs/tutorial.tex b/docs/tutorial.tex
index e489673..da9c29e 100644
--- a/docs/tutorial.tex
+++ b/docs/tutorial.tex
@@ -84,7 +84,7 @@
 
   ceres::Solver::Summary summary;
   ceres::Solve(options, &problem, &summary);
-  std::cout << summary.BriefSummary() << "\n";
+  std::cout << summary.BriefReport() << "\n";
   std::cout << "x : 5.0 -> " << x << "\n";
   return 0;
 }
diff --git a/examples/circle_fit.cc b/examples/circle_fit.cc
index a044134..07d690e 100644
--- a/examples/circle_fit.cc
+++ b/examples/circle_fit.cc
@@ -64,7 +64,7 @@
 using ceres::Solve;
 using ceres::Solver;
 
-DEFINE_double(robust_threshold, -1.0, "Robust loss parameter. Set to -1 for "
+DEFINE_double(robust_threshold, 0.0, "Robust loss parameter. Set to 0 for "
               "normal squared error (no robustification).");
 
 // The cost for a single sample. The returned residual is related to the
@@ -88,7 +88,7 @@
 
     // It is tempting to use the following cost:
     //
-    //   residual[0] = *r - sqrt(xp*xp + yp*yp);
+    //   residual[0] = r - sqrt(xp*xp + yp*yp);
     //
     // which is the distance of the sample from the circle. This works
     // reasonably well, but the sqrt() adds strong nonlinearities to the cost
diff --git a/include/ceres/numeric_diff_cost_function.h b/include/ceres/numeric_diff_cost_function.h
index 736fb97..bbaefca 100644
--- a/include/ceres/numeric_diff_cost_function.h
+++ b/include/ceres/numeric_diff_cost_function.h
@@ -72,7 +72,7 @@
 
 enum NumericDiffMethod {
   CENTRAL,
-  FORWARD,
+  FORWARD
 };
 
 // This is split from the main class because C++ doesn't allow partial template
diff --git a/include/ceres/types.h b/include/ceres/types.h
index e23786c..ea41b4d 100644
--- a/include/ceres/types.h
+++ b/include/ceres/types.h
@@ -88,7 +88,7 @@
   // This is not meant for direct client use; it is used under the
   // hood while using ITERATIVE_SCHUR.  Once there is a decent
   // preconditioner, this will make sense for general sparse problems.
-  CONJUGATE_GRADIENTS,
+  CONJUGATE_GRADIENTS
 };
 
 enum PreconditionerType {
@@ -150,11 +150,11 @@
 // The options get progressively noisier.
 enum LoggingType {
   SILENT,
-  PER_MINIMIZER_ITERATION,
+  PER_MINIMIZER_ITERATION
 };
 
 enum MinimizerType {
-  LEVENBERG_MARQUARDT,
+  LEVENBERG_MARQUARDT
 };
 
 enum SolverTerminationType {
@@ -191,7 +191,7 @@
   USER_ABORT,
 
   // User's IterationCallback returned SOLVER_TERMINATE_SUCCESSFULLY
-  USER_SUCCESS,
+  USER_SUCCESS
 };
 
 // Enums used by the IterationCallback instances to indicate to the