diff --git a/gtsam/nonlinear/EasyFactorGraph.cpp b/gtsam/nonlinear/EasyFactorGraph.cpp
deleted file mode 100644
index 5031975f7..000000000
--- a/gtsam/nonlinear/EasyFactorGraph.cpp
+++ /dev/null
@@ -1,57 +0,0 @@
-/* ----------------------------------------------------------------------------
-
- * GTSAM Copyright 2010, Georgia Tech Research Corporation, 
- * Atlanta, Georgia 30332-0415
- * All Rights Reserved
- * Authors: Frank Dellaert, et al. (see THANKS for the full author list)
-
- * See LICENSE for the license information
-
- * -------------------------------------------------------------------------- */
-
-/**
- *  @file   EasyFactorGraph.cpp
- *  @brief  Nonlinear Factor Graph class with methods defined for safe and easy access in MATLAB
- *  @date   June 24, 2012
- *  @author Frank Dellaert
- **/
-
-#include <gtsam/nonlinear/EasyFactorGraph.h>
-#include <gtsam/linear/SimpleSPCGSolver.h>
-
-namespace gtsam {
-
-	EasyFactorGraph::EasyFactorGraph() {
-	}
-
-	EasyFactorGraph::EasyFactorGraph(const NonlinearFactorGraph& graph) :
-			NonlinearFactorGraph(graph) {
-	}
-
-	LevenbergMarquardtOptimizer EasyFactorGraph::optimizer(
-			const Values& initialEstimate, const LevenbergMarquardtParams& p) const {
-		return LevenbergMarquardtOptimizer((*this), initialEstimate, p);
-	}
-
-	Values EasyFactorGraph::optimize(const Values& initialEstimate,
-			size_t verbosity) const {
-		LevenbergMarquardtParams p;
-		p.verbosity = (NonlinearOptimizerParams::Verbosity) verbosity;
-		return optimizer(initialEstimate, p).optimizeSafely();
-	}
-
-	Values EasyFactorGraph::optimizeSPCG(const Values& initialEstimate,
-			size_t verbosity) const {
-		LevenbergMarquardtParams p;
-		p.verbosity = (NonlinearOptimizerParams::Verbosity) verbosity;
-		p.linearSolverType = SuccessiveLinearizationParams::CONJUGATE_GRADIENT;
-		p.iterativeParams = boost::make_shared<SimpleSPCGSolverParameters>();
-		return optimizer(initialEstimate, p).optimizeSafely();
-	}
-
-	Marginals EasyFactorGraph::marginals(const Values& solution) const {
-		return Marginals(*this, solution);
-	}
-
-} // namespace gtsam
-
diff --git a/gtsam/nonlinear/EasyFactorGraph.h b/gtsam/nonlinear/EasyFactorGraph.h
deleted file mode 100644
index 2629cb409..000000000
--- a/gtsam/nonlinear/EasyFactorGraph.h
+++ /dev/null
@@ -1,69 +0,0 @@
-/* ----------------------------------------------------------------------------
-
- * GTSAM Copyright 2010, Georgia Tech Research Corporation, 
- * Atlanta, Georgia 30332-0415
- * All Rights Reserved
- * Authors: Frank Dellaert, et al. (see THANKS for the full author list)
-
- * See LICENSE for the license information
-
- * -------------------------------------------------------------------------- */
-
-/**
- *  @file   EasyFactorGraph.h
- *  @brief  Nonlinear Factor Graph class with methods defined for safe and easy access in MATLAB
- *  @date   June 24, 2012
- *  @author Frank Dellaert
- **/
-
-#pragma once
-
-#include <gtsam/nonlinear/NonlinearFactorGraph.h>
-#include <gtsam/nonlinear/LevenbergMarquardtOptimizer.h>
-#include <gtsam/nonlinear/Marginals.h>
-
-namespace gtsam {
-
-	/**
-	 * Nonlinear Factor Graph class with methods defined for safe and easy access in MATLAB
-	 */
-	struct EasyFactorGraph: public NonlinearFactorGraph {
-
-		/// Default constructor for a NonlinearFactorGraph
-		EasyFactorGraph();
-
-		/// Creates a NonlinearFactorGraph based on another NonlinearFactorGraph
-		EasyFactorGraph(const NonlinearFactorGraph& graph);
-
-		/**
-		 *  Setup and return a LevenbargMarquardtOptimizer
-		 *  @param initialEstimate initial estimate of all variables in the graph
-		 *  @param p optimizer's parameters
-		 *  @return a LevenbergMarquardtOptimizer object, which you can use to control the optimization process
-		 */
-		LevenbergMarquardtOptimizer optimizer(const Values& initialEstimate,
-				const LevenbergMarquardtParams& p = LevenbergMarquardtParams()) const;
-
-		/**
-		 *  Safely optimize the graph, using Levenberg-Marquardt
-		 *  @param initialEstimate initial estimate of all variables in the graph
-		 *  @param verbosity unsigned specifying verbosity level
-		 */
-		Values optimize(const Values& initialEstimate, size_t verbosity = 0) const;
-
-		/**
-		 *  Safely optimize using subgraph preconditioning
-		 *  @param initialEstimate initial estimate of all variables in the graph
-		 *  @param verbosity unsigned specifying verbosity level
-		 */
-		Values optimizeSPCG(const Values& initialEstimate, size_t verbosity = 0) const;
-
-		/**
-		 *  Return a Marginals object, so you can query marginals
-		 */
-		Marginals marginals(const Values& solution) const;
-
-	};
-
-} // namespace gtsam
-