diff --git a/gtsam/linear/JacobianFactor.h b/gtsam/linear/JacobianFactor.h
index 048d44981..30e8e19bb 100644
--- a/gtsam/linear/JacobianFactor.h
+++ b/gtsam/linear/JacobianFactor.h
@@ -154,16 +154,16 @@ namespace gtsam {
     Vector unweighted_error(const VectorValues& c) const; /** (A*x-b) */
     Vector error_vector(const VectorValues& c) const; /** (A*x-b)/sigma */
     virtual double error(const VectorValues& c) const; /**  0.5*(A*x-b)'*D*(A*x-b) */
-
-    /** Return the augmented information matrix represented by this GaussianFactor.
-     * The augmented information matrix contains the information matrix with an
-     * additional column holding the information vector, and an additional row
-     * holding the transpose of the information vector.  The lower-right entry
-     * contains the constant error term (when \f$ \delta x = 0 \f$).  The
-     * augmented information matrix is described in more detail in HessianFactor,
-     * which in fact stores an augmented information matrix.
-     */
-    virtual Matrix computeInformation() const;
+
+    /** Return the augmented information matrix represented by this GaussianFactor.
+     * The augmented information matrix contains the information matrix with an
+     * additional column holding the information vector, and an additional row
+     * holding the transpose of the information vector.  The lower-right entry
+     * contains the constant error term (when \f$ \delta x = 0 \f$).  The
+     * augmented information matrix is described in more detail in HessianFactor,
+     * which in fact stores an augmented information matrix.
+     */
+    virtual Matrix computeInformation() const;
 
     /** Check if the factor contains no information, i.e. zero rows.  This does
      * not necessarily mean that the factor involves no variables (to check for
diff --git a/gtsam/nonlinear/ISAM2.cpp b/gtsam/nonlinear/ISAM2.cpp
index bae2252d6..d785657a3 100644
--- a/gtsam/nonlinear/ISAM2.cpp
+++ b/gtsam/nonlinear/ISAM2.cpp
@@ -348,7 +348,7 @@ boost::shared_ptr<FastSet<Index> > ISAM2::recalculate(
     // Reeliminated keys for detailed results
     if(params_.enableDetailedResults) {
       BOOST_FOREACH(Key key, theta_.keys()) {
-      	result.detail->variableStatus[key].isReeliminated = true;
+        result.detail->variableStatus[key].isReeliminated = true;
       }
     }
 
@@ -372,7 +372,7 @@ boost::shared_ptr<FastSet<Index> > ISAM2::recalculate(
     // Reeliminated keys for detailed results
     if(params_.enableDetailedResults) {
       BOOST_FOREACH(Index index, affectedAndNewKeys) {
-      	result.detail->variableStatus[inverseOrdering_->at(index)].isReeliminated = true;
+        result.detail->variableStatus[inverseOrdering_->at(index)].isReeliminated = true;
       }
     }
 
@@ -485,7 +485,7 @@ boost::shared_ptr<FastSet<Index> > ISAM2::recalculate(
   // Root clique variables for detailed results
   if(params_.enableDetailedResults) {
     BOOST_FOREACH(Index index, this->root()->conditional()->frontals()) {
-    	result.detail->variableStatus[inverseOrdering_->at(index)].inRootClique = true;
+      result.detail->variableStatus[inverseOrdering_->at(index)].inRootClique = true;
     }
   }
 
@@ -572,7 +572,7 @@ ISAM2Result ISAM2::update(
   // Observed keys for detailed results
   if(params_.enableDetailedResults) {
     BOOST_FOREACH(Index index, markedKeys) {
-    	result.detail->variableStatus[inverseOrdering_->at(index)].isObserved = true;
+      result.detail->variableStatus[inverseOrdering_->at(index)].isObserved = true;
     }
   }
   // NOTE: we use assign instead of the iterator constructor here because this
@@ -732,10 +732,10 @@ Values ISAM2::calculateEstimate() const {
   // We use ExpmapMasked here instead of regular expmap because the former
   // handles Permuted<VectorValues>
   tic(1, "Copy Values");
-	Values ret(theta_);
-	toc(1, "Copy Values");
-	tic(2, "getDelta");
-	const Permuted<VectorValues>& delta(getDelta());
+  Values ret(theta_);
+  toc(1, "Copy Values");
+  tic(2, "getDelta");
+  const Permuted<VectorValues>& delta(getDelta());
   toc(2, "getDelta");
   tic(3, "Expmap");
   vector<bool> mask(ordering_.nVars(), true);