| /external/eigen/Eigen/src/QR/ |
| H A D | HouseholderQR_LAPACKE.h | 47 static void run(MatrixQR& mat, HCoeffs& hCoeffs, Index = 32, \
54 LAPACKE_##LAPACKE_PREFIX##geqrf( matrix_order, m, n, (LAPACKE_TYPE*)mat.data(), lda, (LAPACKE_TYPE*)hCoeffs.data()); \
55 hCoeffs.adjointInPlace(); \
|
| H A D | HouseholderQR.h | 212 const HCoeffsType& hCoeffs() const { return m_hCoeffs; } function in class:Eigen::HouseholderQR
256 void householder_qr_inplace_unblocked(MatrixQR& mat, HCoeffs& hCoeffs, typename MatrixQR::Scalar* tempData = 0) argument
264 eigen_assert(hCoeffs.size() == size);
280 mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
285 .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
296 static void run(MatrixQR& mat, HCoeffs& hCoeffs, Index maxBlockSize=32, argument
332 Block<HCoeffs,Dynamic,1> hCoeffsSegment = hCoeffs.segment(k,bs);
|
| H A D | CompleteOrthogonalDecomposition.h | 289 inline const HCoeffsType& hCoeffs() const { return m_cpqr.hCoeffs(); } function in class:Eigen::CompleteOrthogonalDecomposition
507 householderSequence(matrixQTZ(), hCoeffs()).setLength(rank).transpose());
|
| H A D | FullPivHouseholderQR.h | 325 const HCoeffsType& hCoeffs() const { return m_hCoeffs; } function in class:Eigen::FullPivHouseholderQR
605 const HCoeffsType& hCoeffs,
608 m_hCoeffs(hCoeffs),
604 FullPivHouseholderQRMatrixQReturnType(const MatrixType& qr, const HCoeffsType& hCoeffs, const IntDiagSizeVectorType& rowsTranspositions) argument
|
| H A D | ColPivHouseholderQR.h | 334 const HCoeffsType& hCoeffs() const { return m_hCoeffs; } function in class:Eigen::ColPivHouseholderQR
|
| /external/eigen/Eigen/src/Householder/ |
| H A D | BlockHouseholder.h | 22 // void make_block_householder_triangular_factor(TriangularFactorType& triFactor, const VectorsType& vectors, const CoeffsType& hCoeffs)
31 // // Warning, note that hCoeffs may alias with vectors.
33 // typename CoeffsType::Scalar h = hCoeffs(i);
44 // triFactor(i,i) = hCoeffs(i);
51 void make_block_householder_triangular_factor(TriangularFactorType& triFactor, const VectorsType& vectors, const CoeffsType& hCoeffs) argument
63 triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
70 triFactor(i,i) = hCoeffs(i);
79 void apply_block_householder_on_the_left(MatrixType& mat, const VectorsType& vectors, const CoeffsType& hCoeffs, bool forward) argument
85 if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
86 else make_block_householder_triangular_factor(T, vectors, hCoeffs
[all...] |
| /external/eigen/Eigen/src/Eigenvalues/ |
| H A D | Tridiagonalization.h | 28 void tridiagonalization_inplace(MatrixType& matA, CoeffVectorType& hCoeffs);
329 * \param[out] hCoeffs returned Householder coefficients (see below)
338 * where \f$ h_i = hCoeffs[i]\f$ is the \f$ i \f$th Householder coefficient and
347 void tridiagonalization_inplace(MatrixType& matA, CoeffVectorType& hCoeffs) argument
354 eigen_assert(n==hCoeffs.size()+1 || n==1);
367 hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
370 hCoeffs.tail(n-i-1) += (conj(h)*RealScalar(-0.5)*(hCoeffs.tail(remainingSize).dot(matA.col(i).tail(remainingSize)))) * matA.col(i).tail(n-i-1);
373 .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
376 hCoeffs
[all...] |
| H A D | HessenbergDecomposition.h | 272 static void _compute(MatrixType& matA, CoeffVectorType& hCoeffs, VectorType& temp);
285 * \param hCoeffs returned Householder coefficients
294 void HessenbergDecomposition<MatrixType>::_compute(MatrixType& matA, CoeffVectorType& hCoeffs, VectorType& temp) argument
307 hCoeffs.coeffRef(i) = h;
|
| /external/eigen/test/ |
| H A D | householder.cpp | 87 HCoeffsVectorType hc = qr.hCoeffs().conjugate();
|
| /external/eigen/unsupported/Eigen/src/NonLinearOptimization/ |
| H A D | LevenbergMarquardt.h | 474 fjac.diagonal() = qrfac.hCoeffs();
|