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  /external/eigen/doc/snippets/
ComplexSchur_matrixU.cpp 4 cout << "The unitary matrix U is:" << endl << schurOfA.matrixU() << endl;
RealSchur_RealSchur_MatrixType.cpp 5 cout << "The orthogonal matrix U is:" << endl << schur.matrixU() << endl;
8 MatrixXd U = schur.matrixU();
JacobiSVD_basic.cpp 5 cout << "Its left singular vectors are the columns of the thin U matrix:" << endl << svd.matrixU() << endl;
  /external/eigen/test/
schur_complex.cpp 24 ComplexMatrixType U = schurOfA.matrixU();
37 VERIFY_RAISES_ASSERT(csUninitialized.matrixU());
48 VERIFY_IS_EQUAL(cs1.matrixU(), cs2.matrixU());
55 VERIFY_IS_EQUAL(cs3.matrixU(), cs1.matrixU());
65 VERIFY_IS_EQUAL(cs3.matrixU(), ComplexMatrixType::Identity(size, size));
71 VERIFY_RAISES_ASSERT(csOnlyT.matrixU());
schur_real.cpp 47 MatrixType U = schurOfA.matrixU();
56 VERIFY_RAISES_ASSERT(rsUninitialized.matrixU());
67 VERIFY_IS_EQUAL(rs1.matrixU(), rs2.matrixU());
74 VERIFY_IS_EQUAL(rs3.matrixU(), rs1.matrixU());
86 VERIFY_IS_EQUAL(rs3.matrixU(), MatrixType::Identity(size, size));
92 VERIFY_RAISES_ASSERT(rsOnlyT.matrixU());
bdcsvd.cpp 46 VERIFY_RAISES_ASSERT(m.bdcSvd().matrixU());
59 if(computationOptions & ComputeFullU) VERIFY_IS_APPROX(bdc_svd.matrixU(), jacobi_svd.matrixU());
60 if(computationOptions & ComputeThinU) VERIFY_IS_APPROX(bdc_svd.matrixU(), jacobi_svd.matrixU());
svd_common.h 42 MatrixUType u = svd.matrixU();
82 VERIFY( (svd.matrixU().adjoint()*svd.matrixU()).isIdentity(prec) );
83 VERIFY_IS_APPROX( svd.matrixU().leftCols(diagSize) * svd.singularValues().cwiseAbs2().asDiagonal() * svd.matrixU().leftCols(diagSize).adjoint(),
84 referenceSvd.matrixU().leftCols(diagSize) * referenceSvd.singularValues().cwiseAbs2().asDiagonal() * referenceSvd.matrixU().leftCols(diagSize).adjoint());
91 if(computationOptions & ComputeFullU) VERIFY_IS_APPROX(svd.matrixU(), referenceSvd.matrixU());
92 if(computationOptions & ComputeThinU) VERIFY_IS_APPROX(svd.matrixU(), referenceSvd.matrixU().leftCols(diagSize))
    [all...]
cholesky.cpp 123 VERIFY_IS_APPROX(MatrixType(chollo.matrixL().transpose().conjugate()), MatrixType(chollo.matrixU()));
124 VERIFY_IS_APPROX(MatrixType(chollo.matrixU().transpose().conjugate()), MatrixType(chollo.matrixL()));
125 VERIFY_IS_APPROX(MatrixType(cholup.matrixL().transpose().conjugate()), MatrixType(cholup.matrixU()));
126 VERIFY_IS_APPROX(MatrixType(cholup.matrixU().transpose().conjugate()), MatrixType(cholup.matrixL()));
189 VERIFY_IS_APPROX(MatrixType(ldltlo.matrixL().transpose().conjugate()), MatrixType(ldltlo.matrixU()));
190 VERIFY_IS_APPROX(MatrixType(ldltlo.matrixU().transpose().conjugate()), MatrixType(ldltlo.matrixL()));
191 VERIFY_IS_APPROX(MatrixType(ldltup.matrixL().transpose().conjugate()), MatrixType(ldltup.matrixU()));
192 VERIFY_IS_APPROX(MatrixType(ldltup.matrixU().transpose().conjugate()), MatrixType(ldltup.matrixL()));
463 VERIFY_RAISES_ASSERT(llt.matrixU())
jacobisvd.cpp 68 VERIFY_RAISES_ASSERT(m.jacobiSvd().matrixU());
  /external/eigen/Eigen/src/Eigenvalues/
GeneralizedSelfAdjointEigenSolver.h 186 cholB.matrixU().template solveInPlace<OnTheRight>(matC);
192 cholB.matrixU().solveInPlace(Base::m_eivec);
199 matC = cholB.matrixU() * matC;
205 cholB.matrixU().solveInPlace(Base::m_eivec);
212 matC = cholB.matrixU() * matC;
ComplexEigenSolver.h 317 m_eivec.noalias() = m_schur.matrixU() * m_matX;
ComplexSchur.h 44 * decomposition is computed, you can use the matrixU() and matrixT()
110 * \sa matrixT() and matrixU() for examples.
138 const ComplexMatrixType& matrixU() const
  /external/eigen/lapack/
svd.cpp 62 matrix(u,*m,*m,*ldu) = svd.matrixU();
67 matrix(u,*m,diag_size,*ldu) = svd.matrixU();
72 matrix(a,*m,*n,*lda) = svd.matrixU();
77 matrix(u,*m,*m,*ldu) = svd.matrixU();
128 if(*jobu=='A') matrix(u,*m,*m,*ldu) = svd.matrixU();
129 else if(*jobu=='S') matrix(u,*m,diag_size,*ldu) = svd.matrixU();
130 else if(*jobu=='O') matrix(a,*m,diag_size,*lda) = svd.matrixU();
  /external/eigen/Eigen/src/Geometry/
Umeyama.h 139 if ( svd.matrixU().determinant() * svd.matrixV().determinant() < 0 )
143 Rt.block(0,0,m,m).noalias() = svd.matrixU() * S.asDiagonal() * svd.matrixV().transpose();
Transform.h     [all...]
  /external/eigen/unsupported/test/
matrix_functions.h 50 processTriangularMatrix<MatrixType>::run(result, T, schur.matrixU());
matrix_power.cpp 117 const MatrixType& U = schur.matrixU();
  /external/eigen/Eigen/src/Cholesky/
LDLT.h 141 inline typename Traits::MatrixU matrixU() const
471 typedef const TriangularView<const typename MatrixType::AdjointReturnType, UnitUpper> MatrixU;
473 static inline MatrixU getU(const MatrixType& m) { return MatrixU(m.adjoint()); }
479 typedef const TriangularView<const MatrixType, UnitUpper> MatrixU;
481 static inline MatrixU getU(const MatrixType& m) { return MatrixU(m); }
588 matrixU().solveInPlace(dst);
634 res = matrixU() * res
    [all...]
LLT.h 115 inline typename Traits::MatrixU matrixU() const
393 typedef const TriangularView<const typename MatrixType::AdjointReturnType, Upper> MatrixU;
395 static inline MatrixU getU(const MatrixType& m) { return MatrixU(m.adjoint()); }
403 typedef const TriangularView<const MatrixType, Upper> MatrixU;
405 static inline MatrixU getU(const MatrixType& m) { return MatrixU(m); }
497 matrixU().solveInPlace(bAndX);
  /external/eigen/Eigen/src/SparseCholesky/
SimplicialCholesky.h 176 derived().matrixU().solveInPlace(dest);
281 typedef TriangularView<const typename CholMatrixType::AdjointReturnType, Eigen::Upper> MatrixU;
283 static inline MatrixU getU(const MatrixType& m) { return MatrixU(m.adjoint()); }
295 typedef TriangularView<const typename CholMatrixType::AdjointReturnType, Eigen::UnitUpper> MatrixU;
297 static inline MatrixU getU(const MatrixType& m) { return MatrixU(m.adjoint()); }
343 typedef typename Traits::MatrixU MatrixU;
358 inline const MatrixU matrixU() const
    [all...]
  /external/eigen/unsupported/Eigen/src/MatrixFunctions/
MatrixSquareRoot.h 267 const MatrixType& U = schurOfA.matrixU();
292 const MatrixType& U = schurOfA.matrixU();
  /external/eigen/Eigen/src/SVD/
SVDBase.h 83 const MatrixUType& matrixU() const
BDCSVD.h 252 if(computeU()) m_matrixU = jsvd.matrixU();
411 m_naiveU.block(firstCol, firstCol, n + 1, n + 1).real() = b.matrixU();
414 m_naiveU.row(0).segment(firstCol, n + 1).real() = b.matrixU().row(0);
415 m_naiveU.row(1).segment(firstCol, n + 1).real() = b.matrixU().row(n);
    [all...]
  /external/eigen/Eigen/src/SparseLU/
SparseLU.h 153 * y = b; matrixU().solveInPlace(y);
156 SparseLUMatrixUReturnType<SCMatrix,MappedSparseMatrix<Scalar,ColMajor,StorageIndex> > matrixU() const
234 this->matrixU().solveInPlace(X);
  /external/eigen/unsupported/Eigen/src/Eigenvalues/
ArpackSelfAdjointEigenSolver.h 762 Matrix<Scalar, Dynamic, 1>::Map(out, n) = OP.matrixU().solve(Matrix<Scalar, Dynamic, 1>::Map(in, n));
779 Matrix<Scalar, Dynamic, Dynamic>::Map(vecs, n, k) = OP.matrixU().solve(Matrix<Scalar, Dynamic, Dynamic>::Map(vecs, n, k));

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