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source: branches/HeuristicLab.Problems.GaussianProcessTuning/HeuristicLab.Eigen/Eigen/src/Householder/BlockHouseholder.h @ 9562

Last change on this file since 9562 was 9562, checked in by gkronber, 12 years ago

#1967 worked on Gaussian process evolution.

File size: 2.7 KB
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1// This file is part of Eigen, a lightweight C++ template library
2// for linear algebra.
3//
4// Copyright (C) 2010 Vincent Lejeune
5// Copyright (C) 2010 Gael Guennebaud <gael.guennebaud@inria.fr>
6//
7// This Source Code Form is subject to the terms of the Mozilla
8// Public License v. 2.0. If a copy of the MPL was not distributed
9// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
10
11#ifndef EIGEN_BLOCK_HOUSEHOLDER_H
12#define EIGEN_BLOCK_HOUSEHOLDER_H
13
14// This file contains some helper function to deal with block householder reflectors
15
16namespace Eigen {
17
18namespace internal {
19
20/** \internal */
21template<typename TriangularFactorType,typename VectorsType,typename CoeffsType>
22void make_block_householder_triangular_factor(TriangularFactorType& triFactor, const VectorsType& vectors, const CoeffsType& hCoeffs)
23{
24  typedef typename TriangularFactorType::Index Index;
25  typedef typename VectorsType::Scalar Scalar;
26  const Index nbVecs = vectors.cols();
27  eigen_assert(triFactor.rows() == nbVecs && triFactor.cols() == nbVecs && vectors.rows()>=nbVecs);
28
29  for(Index i = 0; i < nbVecs; i++)
30  {
31    Index rs = vectors.rows() - i;
32    Scalar Vii = vectors(i,i);
33    vectors.const_cast_derived().coeffRef(i,i) = Scalar(1);
34    triFactor.col(i).head(i).noalias() = -hCoeffs(i) * vectors.block(i, 0, rs, i).adjoint()
35                                       * vectors.col(i).tail(rs);
36    vectors.const_cast_derived().coeffRef(i, i) = Vii;
37    // FIXME add .noalias() once the triangular product can work inplace
38    triFactor.col(i).head(i) = triFactor.block(0,0,i,i).template triangularView<Upper>()
39                             * triFactor.col(i).head(i);
40    triFactor(i,i) = hCoeffs(i);
41  }
42}
43
44/** \internal */
45template<typename MatrixType,typename VectorsType,typename CoeffsType>
46void apply_block_householder_on_the_left(MatrixType& mat, const VectorsType& vectors, const CoeffsType& hCoeffs)
47{
48  typedef typename MatrixType::Index Index;
49  enum { TFactorSize = MatrixType::ColsAtCompileTime };
50  Index nbVecs = vectors.cols();
51  Matrix<typename MatrixType::Scalar, TFactorSize, TFactorSize> T(nbVecs,nbVecs);
52  make_block_householder_triangular_factor(T, vectors, hCoeffs);
53
54  const TriangularView<const VectorsType, UnitLower>& V(vectors);
55
56  // A -= V T V^* A
57  Matrix<typename MatrixType::Scalar,VectorsType::ColsAtCompileTime,MatrixType::ColsAtCompileTime,0,
58         VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
59  // FIXME add .noalias() once the triangular product can work inplace
60  tmp = T.template triangularView<Upper>().adjoint() * tmp;
61  mat.noalias() -= V * tmp;
62}
63
64} // end namespace internal
65
66} // end namespace Eigen
67
68#endif // EIGEN_BLOCK_HOUSEHOLDER_H
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