diff --git a/gtsam/linear/JacobianFactor.h b/gtsam/linear/JacobianFactor.h
index 1cdf9e1c7..30e8e19bb 100644
--- a/gtsam/linear/JacobianFactor.h
+++ b/gtsam/linear/JacobianFactor.h
@@ -154,16 +154,6 @@ 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