mirror of
https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
Fix compilation of HouseholderQR and ColPivotingHouseholderQR for non-square fixed-size matrices.
For Colpiv that was just changing MatrixQType to MatrixType in the instantiation of HouseholderSequence. For HouseholderQR I also re-ported the solve method from Colpiv as there were multiple issues.
This commit is contained in:
@@ -62,7 +62,7 @@ template<typename MatrixType> class ColPivotingHouseholderQR
|
||||
typedef Matrix<Scalar, 1, ColsAtCompileTime> RowVectorType;
|
||||
typedef Matrix<Scalar, RowsAtCompileTime, 1> ColVectorType;
|
||||
typedef Matrix<RealScalar, 1, ColsAtCompileTime> RealRowVectorType;
|
||||
typedef typename HouseholderSequence<MatrixQType,HCoeffsType>::ConjugateReturnType HouseholderSequenceType;
|
||||
typedef typename HouseholderSequence<MatrixType,HCoeffsType>::ConjugateReturnType HouseholderSequenceType;
|
||||
|
||||
/**
|
||||
* \brief Default Constructor.
|
||||
|
||||
@@ -62,7 +62,7 @@ template<typename MatrixType> class HouseholderQR
|
||||
typedef Matrix<Scalar, RowsAtCompileTime, RowsAtCompileTime, AutoAlign | (ei_traits<MatrixType>::Flags&RowMajorBit ? RowMajor : ColMajor)> MatrixQType;
|
||||
typedef Matrix<Scalar, DiagSizeAtCompileTime, 1> HCoeffsType;
|
||||
typedef Matrix<Scalar, 1, ColsAtCompileTime> RowVectorType;
|
||||
typedef typename HouseholderSequence<MatrixQType,HCoeffsType>::ConjugateReturnType HouseholderSequenceType;
|
||||
typedef typename HouseholderSequence<MatrixType,HCoeffsType>::ConjugateReturnType HouseholderSequenceType;
|
||||
|
||||
/**
|
||||
* \brief Default Constructor.
|
||||
@@ -206,18 +206,22 @@ void HouseholderQR<MatrixType>::solve(
|
||||
) const
|
||||
{
|
||||
ei_assert(m_isInitialized && "HouseholderQR is not initialized.");
|
||||
result->resize(m_qr.cols(), b.cols());
|
||||
const int rows = m_qr.rows();
|
||||
const int cols = b.cols();
|
||||
const int rank = std::min(m_qr.rows(), m_qr.cols());
|
||||
ei_assert(b.rows() == rows);
|
||||
result->resize(rows, cols);
|
||||
|
||||
*result = b;
|
||||
result->applyOnTheLeft(matrixQAsHouseholderSequence().inverse());
|
||||
typename OtherDerived::PlainMatrixType c(b);
|
||||
|
||||
// Note that the matrix Q = H_0^* H_1^*... so its inverse is Q^* = (H_0 H_1 ...)^T
|
||||
c.applyOnTheLeft(makeHouseholderSequence(m_qr.corner(TopLeft,rows,rank), m_hCoeffs.start(rank)).transpose());
|
||||
|
||||
const int rank = std::min(result->rows(), result->cols());
|
||||
m_qr.corner(TopLeft, rank, rank)
|
||||
.template triangularView<UpperTriangular>()
|
||||
.solveInPlace(result->corner(TopLeft, rank, result->cols()));
|
||||
.solveInPlace(c.corner(TopLeft, rank, c.cols()));
|
||||
|
||||
result->corner(TopLeft, rank, c.cols()) = c.corner(TopLeft,rank, c.cols());
|
||||
result->corner(BottomLeft, result->rows()-rank, c.cols()).setZero();
|
||||
}
|
||||
|
||||
/** \returns the matrix Q */
|
||||
|
||||
Reference in New Issue
Block a user