extra tests with actual values
parent
1d8b14384b
commit
befdfd1f09
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@ -126,12 +126,12 @@ TEST( regularImplicitSchurFactor, addHessianMultiply ) {
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const SharedDiagonal model;
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JacobianFactorQ<6, 2> jfQ(keys, FBlocks, E, P, b, model);
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// Calculate expected error
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double expectedError = 1000;
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{ // error
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// error
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double expectedError = 11875.083333333334;
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{
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EXPECT_DOUBLES_EQUAL(expectedError,jfQ.error(xvalues),1e-7)
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EXPECT_DOUBLES_EQUAL(expectedError,implicitFactor.error(xvalues),1e-7)
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EXPECT_DOUBLES_EQUAL(expectedError,implicitFactor.errorJF(xvalues),1e-7)
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EXPECT_DOUBLES_EQUAL(11903.500000000007,implicitFactor.error(xvalues),1e-7)
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}
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{
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@ -169,16 +169,20 @@ TEST( regularImplicitSchurFactor, addHessianMultiply ) {
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EXPECT(assert_equal(Vector(0 * expected), XMap(y), 1e-8));
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}
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VectorValues expectedVV;
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expectedVV.insert(0,-3.5*ones(6));
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expectedVV.insert(1,10*ones(6)/3);
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expectedVV.insert(3,-19.5*ones(6));
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{ // Check gradientAtZero
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VectorValues expected = jfQ.gradientAtZero();
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VectorValues actual = implicitFactor.gradientAtZero();
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EXPECT(assert_equal(expected, actual, 1e-8));
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EXPECT(assert_equal(expectedVV, jfQ.gradientAtZero(), 1e-8));
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EXPECT(assert_equal(expectedVV, implicitFactor.gradientAtZero(), 1e-8));
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}
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// Create JacobianFactorQR
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JacobianFactorQR<6, 2> jfQR(keys, FBlocks, E, P, b, model);
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EXPECT_DOUBLES_EQUAL(expectedError, jfQR.error(xvalues),1e-7)
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EXPECT(assert_equal(expectedVV, jfQR.gradientAtZero(), 1e-8));
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{
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const SharedDiagonal model;
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VectorValues yActual = zero;
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