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Make pivoting HouseholderQR compatible with custom scalar types
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@ -350,7 +350,7 @@ template<typename _MatrixType> class ColPivHouseholderQR
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return m_usePrescribedThreshold ? m_prescribedThreshold
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// this formula comes from experimenting (see "LU precision tuning" thread on the list)
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// and turns out to be identical to Higham's formula used already in LDLt.
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: NumTraits<Scalar>::epsilon() * m_qr.diagonalSize();
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: NumTraits<Scalar>::epsilon() * RealScalar(m_qr.diagonalSize());
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}
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/** \returns the number of nonzero pivots in the QR decomposition.
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@ -346,7 +346,7 @@ template<typename _MatrixType> class FullPivHouseholderQR
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return m_usePrescribedThreshold ? m_prescribedThreshold
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// this formula comes from experimenting (see "LU precision tuning" thread on the list)
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// and turns out to be identical to Higham's formula used already in LDLt.
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: NumTraits<Scalar>::epsilon() * m_qr.diagonalSize();
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: NumTraits<Scalar>::epsilon() * RealScalar(m_qr.diagonalSize());
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}
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/** \returns the number of nonzero pivots in the QR decomposition.
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@ -417,7 +417,7 @@ FullPivHouseholderQR<MatrixType>& FullPivHouseholderQR<MatrixType>::compute(cons
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m_temp.resize(cols);
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m_precision = NumTraits<Scalar>::epsilon() * size;
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m_precision = NumTraits<Scalar>::epsilon() * RealScalar(size);
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m_rows_transpositions.resize(size);
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m_cols_transpositions.resize(size);
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