%-----------------------------------------------------------------------
% equals
fg = createGaussianFactorGraph();
fg2 = createGaussianFactorGraph();
CHECK('equals',fg.equals(fg2,1e-9));

%-----------------------------------------------------------------------
% error
zero = createZeroDelta();
actual = fg.error(zero);
DOUBLES_EQUAL( 5.625, actual, 1e-9 );

%-----------------------------------------------------------------------
% eliminate_x1
fg = createGaussianFactorGraph();
actual = fg.eliminateOne('x1');

%-----------------------------------------------------------------------
% eliminate_x2
fg = createGaussianFactorGraph();
actual = fg.eliminateOne('x2');

%-----------------------------------------------------------------------
% eliminateAll
I = eye(2);
cg1 = GaussianConditional('x1',[-1;-1], 10*I,[1;1]);

sig1=0.149071;
d2=[0; .2]/sig1;
cg2 = GaussianConditional('l1', d2, I/sig1, 'x1', -I/sig1, [1;1]);

sig2 = 0.0894427;
A21 = -0.2*I/sig2;
A22 = -0.8*I/sig2;
d3 =[.2; -.14]/sig2;
cg3 = GaussianConditional('x2',d3, I/sig2, 'l1', A21, 'x1', A22, [1;1]);

expected = GaussianBayesNet;
expected.push_back(cg3);
expected.push_back(cg2);
expected.push_back(cg1);

% Check one ordering
fg1 = createGaussianFactorGraph();
ord1 = Ordering;
ord1.push_back('x2');
ord1.push_back('l1');
ord1.push_back('x1');
actual1 = fg1.eliminate_(ord1);
CHECK('eliminateAll', actual1.equals(expected,1e-5));

%-----------------------------------------------------------------------
% matrix

fg = createGaussianFactorGraph();
ord = Ordering;
ord.push_back('x1');
ord.push_back('x2');
ord.push_back('l1');

[H,z] = fg.matrix(ord);