// This file is part of Eigen, a lightweight C++ template library // for linear algebra. // // Copyright (C) 2010 Benoit Jacob // Copyright (C) 2009 Gael Guennebaud // // Eigen is free software; you can redistribute it and/or // modify it under the terms of the GNU Lesser General Public // License as published by the Free Software Foundation; either // version 3 of the License, or (at your option) any later version. // // Alternatively, you can redistribute it and/or // modify it under the terms of the GNU General Public License as // published by the Free Software Foundation; either version 2 of // the License, or (at your option) any later version. // // Eigen is distributed in the hope that it will be useful, but WITHOUT ANY // WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS // FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the // GNU General Public License for more details. // // You should have received a copy of the GNU Lesser General Public // License and a copy of the GNU General Public License along with // Eigen. If not, see . #ifndef EIGEN_HOUSEHOLDER_H #define EIGEN_HOUSEHOLDER_H template struct ei_decrement_size { enum { ret = n==Dynamic ? n : n-1 }; }; template void MatrixBase::makeHouseholderInPlace(Scalar& tau, RealScalar& beta) { VectorBlock::ret> essentialPart(derived(), 1, size()-1); makeHouseholder(essentialPart, tau, beta); } /** Computes the elementary reflector H such that: * \f$ H *this = [ beta 0 ... 0]^T \f$ * where the transformation H is: * \f$ H = I - tau v v^*\f$ * and the vector v is: * \f$ v^T = [1 essential^T] \f$ * * On output: * \param essential the essential part of the vector \c v * \param tau the scaling factor of the householder transformation * \param beta the result of H * \c *this * * \sa MatrixBase::makeHouseholderInPlace(), MatrixBase::applyHouseholderOnTheLeft(), * MatrixBase::applyHouseholderOnTheRight() */ template template void MatrixBase::makeHouseholder( EssentialPart& essential, Scalar& tau, RealScalar& beta) const { EIGEN_STATIC_ASSERT_VECTOR_ONLY(EssentialPart) VectorBlock tail(derived(), 1, size()-1); RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); Scalar c0 = coeff(0); if(tailSqNorm == RealScalar(0) && ei_imag(c0)==RealScalar(0)) { tau = 0; beta = ei_real(c0); } else { beta = ei_sqrt(ei_abs2(c0) + tailSqNorm); if (ei_real(c0)>=RealScalar(0)) beta = -beta; essential = tail / (c0 - beta); tau = ei_conj((beta - c0) / beta); } } template template void MatrixBase::applyHouseholderOnTheLeft( const EssentialPart& essential, const Scalar& tau, Scalar* workspace) { if(rows() == 1) { *this *= Scalar(1)-tau; } else { Map::type> tmp(workspace,cols()); Block bottom(derived(), 1, 0, rows()-1, cols()); tmp.noalias() = essential.adjoint() * bottom; tmp += this->row(0); this->row(0) -= tau * tmp; bottom.noalias() -= tau * essential * tmp; } } template template void MatrixBase::applyHouseholderOnTheRight( const EssentialPart& essential, const Scalar& tau, Scalar* workspace) { if(cols() == 1) { *this *= Scalar(1)-tau; } else { Map::type> tmp(workspace,rows()); Block right(derived(), 0, 1, rows(), cols()-1); tmp.noalias() = right * essential.conjugate(); tmp += this->col(0); this->col(0) -= tau * tmp; right.noalias() -= tau * tmp * essential.transpose(); } } #endif // EIGEN_HOUSEHOLDER_H