diff --git a/gtsam/nonlinear/NonlinearFactorGraph-inl.h b/gtsam/nonlinear/NonlinearFactorGraph-inl.h
index 621f3b91b..473107429 100644
--- a/gtsam/nonlinear/NonlinearFactorGraph-inl.h
+++ b/gtsam/nonlinear/NonlinearFactorGraph-inl.h
@@ -92,8 +92,7 @@ namespace gtsam {
 
 	/* ************************************************************************* */
 	template<class VALUES>
-	SymbolicFactorGraph::shared_ptr NonlinearFactorGraph<VALUES>::symbolic(
-			const VALUES& config, const Ordering& ordering) const {
+	SymbolicFactorGraph::shared_ptr NonlinearFactorGraph<VALUES>::symbolic(const Ordering& ordering) const {
 		// Generate the symbolic factor graph
 		SymbolicFactorGraph::shared_ptr symbolicfg(new SymbolicFactorGraph);
 		symbolicfg->reserve(this->size());
@@ -114,7 +113,7 @@ namespace gtsam {
 			VALUES>::symbolic(const VALUES& config) const {
 		// Generate an initial key ordering in iterator order
 		Ordering::shared_ptr ordering(config.orderingArbitrary());
-		return make_pair(symbolic(config, *ordering), ordering);
+		return make_pair(symbolic(*ordering), ordering);
 	}
 
 	/* ************************************************************************* */
diff --git a/gtsam/nonlinear/NonlinearFactorGraph.h b/gtsam/nonlinear/NonlinearFactorGraph.h
index e17083f60..605842179 100644
--- a/gtsam/nonlinear/NonlinearFactorGraph.h
+++ b/gtsam/nonlinear/NonlinearFactorGraph.h
@@ -64,7 +64,7 @@ namespace gtsam {
 		/**
 		 * Create a symbolic factor graph using an existing ordering
 		 */
-		SymbolicFactorGraph::shared_ptr symbolic(const VALUES& config, const Ordering& ordering) const;
+		SymbolicFactorGraph::shared_ptr symbolic(const Ordering& ordering) const;
 
 		/**
 		 * Create a symbolic factor graph and initial variable ordering that can
diff --git a/gtsam/nonlinear/NonlinearOptimizer-inl.h b/gtsam/nonlinear/NonlinearOptimizer-inl.h
index 3a731e588..02ead8b0d 100644
--- a/gtsam/nonlinear/NonlinearOptimizer-inl.h
+++ b/gtsam/nonlinear/NonlinearOptimizer-inl.h
@@ -36,7 +36,7 @@ namespace gtsam {
 			graph_(graph), values_(values), error_(graph->error(*values)), ordering_(ordering),
 			parameters_(parameters), iterations_(0),
 			dimensions_(new vector<size_t>(values->dims(*ordering))),
-			structure_(new VariableIndex(*graph->symbolic(*values, *ordering))) {
+			structure_(new VariableIndex(*graph->symbolic(*ordering))) {
 		if (!graph) throw std::invalid_argument(
 				"NonlinearOptimizer constructor: graph = NULL");
 		if (!values) throw std::invalid_argument(