BlockHouseholder.h

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2010 Vincent Lejeune
// Copyright (C) 2010 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
 
#ifndef EIGEN_BLOCK_HOUSEHOLDER_H
#define EIGEN_BLOCK_HOUSEHOLDER_H
 
// This file contains some helper function to deal with block householder reflectors
 
// IWYU pragma: private
#include "./InternalHeaderCheck.h"
 
namespace Eigen {
 
namespace internal {
 
// template<typename TriangularFactorType,typename VectorsType,typename CoeffsType>
// void make_block_householder_triangular_factor(TriangularFactorType& triFactor, const VectorsType& vectors, const
// CoeffsType& hCoeffs)
// {
//   typedef typename VectorsType::Scalar Scalar;
//   const Index nbVecs = vectors.cols();
//   eigen_assert(triFactor.rows() == nbVecs && triFactor.cols() == nbVecs && vectors.rows()>=nbVecs);
//
//   for(Index i = 0; i < nbVecs; i++)
//   {
//     Index rs = vectors.rows() - i;
//     // Warning, note that hCoeffs may alias with vectors.
//     // It is then necessary to copy it before modifying vectors(i,i).
//     typename CoeffsType::Scalar h = hCoeffs(i);
//     // This hack permits to pass through nested Block<> and Transpose<> expressions.
//     Scalar *Vii_ptr = const_cast<Scalar*>(vectors.data() + vectors.outerStride()*i + vectors.innerStride()*i);
//     Scalar Vii = *Vii_ptr;
//     *Vii_ptr = Scalar(1);
//     triFactor.col(i).head(i).noalias() = -h * vectors.block(i, 0, rs, i).adjoint()
//                                        * vectors.col(i).tail(rs);
//     *Vii_ptr = Vii;
//     // FIXME add .noalias() once the triangular product can work inplace
//     triFactor.col(i).head(i) = triFactor.block(0,0,i,i).template triangularView<Upper>()
//                              * triFactor.col(i).head(i);
//     triFactor(i,i) = hCoeffs(i);
//   }
// }
 
// This variant avoid modifications in vectors
template <typename TriangularFactorType, typename VectorsType, typename CoeffsType>
void make_block_householder_triangular_factor(TriangularFactorType& triFactor, const VectorsType& vectors,
                                              const CoeffsType& hCoeffs) {
  const Index nbVecs = vectors.cols();
  eigen_assert(triFactor.rows() == nbVecs && triFactor.cols() == nbVecs && vectors.rows() >= nbVecs);
 
  for (Index i = nbVecs - 1; i >= 0; --i) {
    Index rs = vectors.rows() - i - 1;
    Index rt = nbVecs - i - 1;
 
    if (rt > 0) {
      triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() *
                                            vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
 
      // FIXME use the following line with .noalias() once the triangular product can work inplace
      // triFactor.row(i).tail(rt) = triFactor.row(i).tail(rt) * triFactor.bottomRightCorner(rt,rt).template
      // triangularView<Upper>();
      for (Index j = nbVecs - 1; j > i; --j) {
        typename TriangularFactorType::Scalar z = triFactor(i, j);
        triFactor(i, j) = z * triFactor(j, j);
        if (nbVecs - j - 1 > 0) triFactor.row(i).tail(nbVecs - j - 1) += z * triFactor.row(j).tail(nbVecs - j - 1);
      }
    }
    triFactor(i, i) = hCoeffs(i);
  }
}
 
template <typename MatrixType, typename VectorsType, typename CoeffsType>
void apply_block_householder_on_the_left(MatrixType& mat, const VectorsType& vectors, const CoeffsType& hCoeffs,
                                         bool forward) {
  enum { TFactorSize = VectorsType::ColsAtCompileTime };
  Index nbVecs = vectors.cols();
  Matrix<typename MatrixType::Scalar, TFactorSize, TFactorSize, RowMajor> T(nbVecs, nbVecs);
 
  if (forward)
    make_block_householder_triangular_factor(T, vectors, hCoeffs);
  else
    make_block_householder_triangular_factor(T, vectors, hCoeffs.conjugate());
  const TriangularView<const VectorsType, UnitLower> V(vectors);
 
  // A -= V T V^* A
  Matrix<typename MatrixType::Scalar, VectorsType::ColsAtCompileTime, MatrixType::ColsAtCompileTime,
         (VectorsType::MaxColsAtCompileTime == 1 && MatrixType::MaxColsAtCompileTime != 1) ? RowMajor : ColMajor,
         VectorsType::MaxColsAtCompileTime, MatrixType::MaxColsAtCompileTime>
      tmp = V.adjoint() * mat;
  // FIXME add .noalias() once the triangular product can work inplace
  if (forward)
    tmp = T.template triangularView<Upper>() * tmp;
  else
    tmp = T.template triangularView<Upper>().adjoint() * tmp;
  mat.noalias() -= V * tmp;
}
 
}  // end namespace internal
 
}  // end namespace Eigen
 
#endif  // EIGEN_BLOCK_HOUSEHOLDER_H