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eigen2: pass QR decomposition and hyperplane tests
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@@ -42,6 +42,7 @@ template<typename MatrixType> void qr(const MatrixType& m)
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VERIFY_IS_APPROX(a, qrOfA.matrixQ() * qrOfA.matrixR());
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VERIFY_IS_NOT_APPROX(a+MatrixType::Identity(rows, cols), qrOfA.matrixQ() * qrOfA.matrixR());
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#if 0 // eigenvalues module not yet ready
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SquareMatrixType b = a.adjoint() * a;
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// check tridiagonalization
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@@ -55,6 +56,7 @@ template<typename MatrixType> void qr(const MatrixType& m)
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b = SquareMatrixType::Random(cols,cols);
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hess.compute(b);
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VERIFY_IS_APPROX(b, hess.matrixQ() * hess.matrixH() * hess.matrixQ().adjoint());
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#endif
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}
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void test_eigen2_qr()
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@@ -74,14 +76,8 @@ void test_eigen2_qr()
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mat << 1, 45, 1, 2, 2, 2, 1, 2, 3;
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VERIFY(mat.qr().isFullRank());
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mat << 1, 1, 1, 2, 2, 2, 1, 2, 3;
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VERIFY(!mat.qr().isFullRank());
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}
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{
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MatrixXf m = MatrixXf::Zero(10,10);
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VectorXf b = VectorXf::Zero(10);
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VectorXf x = VectorXf::Random(10);
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VERIFY(m.qr().solve(b,&x));
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VERIFY(x.isZero());
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//always returns true in eigen2support
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//VERIFY(!mat.qr().isFullRank());
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}
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#endif
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