diff --git a/matlab/testLinearFactorGraph.m b/matlab/testLinearFactorGraph.m
deleted file mode 100644
index 0639f9d9c..000000000
--- a/matlab/testLinearFactorGraph.m
+++ /dev/null
@@ -1,111 +0,0 @@
-%-----------------------------------------------------------------------
-% equals
-fg = createGaussianFactorGraph();
-fg2 = createGaussianFactorGraph();
-CHECK('equals',fg.equals(fg2,1e-9));
-
-%-----------------------------------------------------------------------
-% error
-cfg = createZeroDelta();
-actual = fg.error(cfg);
-DOUBLES_EQUAL( 5.625, actual, 1e-9 );
-
-%-----------------------------------------------------------------------
-% combine_factors_x1
-fg = createGaussianFactorGraph();
-actual = fg.combine_factors('x1');
-Al1 = [
-   0., 0.
-   0., 0.
-   0., 0.
-   0., 0.
-   5., 0.
-   0., 5.
-  ];
-                     
-Ax1 = [
-  10.,   0.
-  0.00, 10.
-  -10.,  0.
-  0.00,-10.
-  -5.,   0.
-  00.,  -5.
-  ];
-
-Ax2 = [
-   0., 0.
-   0., 0.
-   10., 0.
-   +0.,10.
-   0., 0.
-   0., 0.
-  ];
-
-b=[-1;-1;2;-1;0;1];
-
-expected = GaussianFactor('l1',Al1,'x1',Ax1,'x2',Ax2,b);
-CHECK('combine_factors_x1', actual.equals(expected,1e-9));
-
-%-----------------------------------------------------------------------
-% combine_factors_x2
-fg = createGaussianFactorGraph();
-actual = fg.combine_factors('x2');
-
-%-----------------------------------------------------------------------
-% eliminate_x1
-fg = createGaussianFactorGraph();
-actual = fg.eliminateOne('x1');
-
-%-----------------------------------------------------------------------
-% eliminate_x2
-fg = createGaussianFactorGraph();
-actual = fg.eliminateOne('x2');
-
-%-----------------------------------------------------------------------
-% eliminateAll
-sigma1=.1;
-R1 = eye(2);
-d1=[-.1;-.1];
-cg1 = ConditionalGaussian('x1',d1, R1,sigma1);
-
-sigma2=0.149071;
-R2 = eye(2);
-A1= -eye(2);
-d2=[0; .2];
-cg2 = ConditionalGaussian('l1',d2, R2, 'x1', A1,sigma2);
-
-sigma3=0.0894427;
-R3 = eye(2);
-A21 = [ -.2, 0.0
-    0.0, -.2];
-A22 = [-.8, 0.0
-    0.0, -.8];
-d3 =[.2; -.14];
-cg3 = ConditionalGaussian('x2',d3, R3, 'l1', A21, 'x1', A22, sigma3);
-
-expected = GaussianBayesNet;
-expected.push_back(cg1);
-expected.push_back(cg2);
-expected.push_back(cg3);
-expected.print_();
-% Check one ordering
-fg1 = createGaussianFactorGraph();
-ord1 = Ordering;
-ord1.push_back('x2');
-ord1.push_back('l1');
-ord1.push_back('x1');
-actual1 = fg1.eliminate_(ord1);
-actual1.print();
-%CHECK('eliminateAll', actual1.equals(expected));
-
-%-----------------------------------------------------------------------
-% matrix
-
-fg = createGaussianFactorGraph();
-ord = Ordering;
-ord.push_back('x2');
-ord.push_back('l1');
-ord.push_back('x1');
-
-A = fg.matrix(ord);
-