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eigen2: pass QR decomposition and hyperplane tests
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6
Eigen/QR
6
Eigen/QR
@ -29,13 +29,17 @@ namespace Eigen {
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#include "src/QR/FullPivHouseholderQR.h"
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#include "src/QR/ColPivHouseholderQR.h"
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#ifdef EIGEN2_SUPPORT
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#include "src/Eigen2Support/QR.h"
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#endif
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} // namespace Eigen
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#include "src/Core/util/EnableMSVCWarnings.h"
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// FIXME for compatibility we include Eigenvalues here:
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#ifdef EIGEN2_SUPPORT
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#include "Eigenvalues"
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#endif
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#endif // EIGEN_QR_MODULE_H
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/* vim: set filetype=cpp et sw=2 ts=2 ai: */
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@ -380,6 +380,10 @@ template<typename Derived> class MatrixBase
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const ColPivHouseholderQR<PlainObject> colPivHouseholderQr() const;
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const FullPivHouseholderQR<PlainObject> fullPivHouseholderQr() const;
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#ifdef EIGEN2_SUPPORT
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const QR<PlainObject> qr() const;
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#endif
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EigenvaluesReturnType eigenvalues() const;
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RealScalar operatorNorm() const;
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@ -267,6 +267,7 @@ struct stem_function
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template<typename ExpressionType> class Cwise;
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template<typename MatrixType> class Minor;
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template<typename MatrixType> class LU;
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template<typename MatrixType> class QR;
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#endif
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#endif // EIGEN_FORWARDDECLARATIONS_H
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@ -122,7 +122,7 @@ public:
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~Hyperplane() {}
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/** \returns the dimension in which the plane holds */
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inline int dim() const { return AmbientDimAtCompileTime==Dynamic ? m_coeffs.size()-1 : AmbientDimAtCompileTime; }
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inline int dim() const { return int(AmbientDimAtCompileTime)==Dynamic ? m_coeffs.size()-1 : int(AmbientDimAtCompileTime); }
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/** normalizes \c *this */
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void normalize(void)
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@ -147,7 +147,7 @@ public:
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/** \returns a constant reference to the unit normal vector of the plane, which corresponds
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* to the linear part of the implicit equation.
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*/
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inline const NormalReturnType normal() const { return NormalReturnType(m_coeffs,0,0,dim(),1); }
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inline const NormalReturnType normal() const { return NormalReturnType(*const_cast<Coefficients*>(&m_coeffs),0,0,dim(),1); }
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/** \returns a non-constant reference to the unit normal vector of the plane, which corresponds
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* to the linear part of the implicit equation.
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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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