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Cast diagonalSize() to Scalar before multiplication. Without this, automatic differentiation in Ceres breaks because Scalar is a custom type that does not support multiplication by Index.
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@ -53,7 +53,7 @@ template<typename _MatrixType> struct traits<FullPivLU<_MatrixType> >
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* Output: \verbinclude class_FullPivLU.out
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*
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* This class supports the \link InplaceDecomposition inplace decomposition \endlink mechanism.
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*
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*
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* \sa MatrixBase::fullPivLu(), MatrixBase::determinant(), MatrixBase::inverse()
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*/
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template<typename _MatrixType> class FullPivLU
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@ -320,7 +320,7 @@ template<typename _MatrixType> class FullPivLU
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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_lu.diagonalSize();
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: NumTraits<Scalar>::epsilon() * Scalar(m_lu.diagonalSize());
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}
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/** \returns the rank of the matrix of which *this is the LU decomposition.
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