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https://gitlab.com/libeigen/eigen.git
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fix compilation when default to row major
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@ -129,7 +129,7 @@ template<typename Derived> class MatrixBase
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Transpose<Derived>
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>::ret AdjointReturnType;
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/** \internal Return type of eigenvalues() */
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typedef Matrix<std::complex<RealScalar>, ei_traits<Derived>::ColsAtCompileTime, 1> EigenvaluesReturnType;
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typedef Matrix<std::complex<RealScalar>, ei_traits<Derived>::ColsAtCompileTime, 1, ColMajor> EigenvaluesReturnType;
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/** \internal the return type of identity */
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typedef CwiseNullaryOp<ei_scalar_identity_op<Scalar>,Derived> IdentityReturnType;
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/** \internal the return type of unit vectors */
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@ -91,6 +91,26 @@ template<typename T> struct ei_unpacket_traits
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enum {size=1};
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};
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template<typename _Scalar, int _Rows, int _Cols,
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int _Options = AutoAlign |
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( (_Rows==1 && _Cols!=1) ? RowMajor
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: (_Cols==1 && _Rows!=1) ? ColMajor
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: EIGEN_DEFAULT_MATRIX_STORAGE_ORDER_OPTION ),
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int _MaxRows = _Rows,
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int _MaxCols = _Cols
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> class ei_make_proper_matrix_type
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{
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enum {
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IsColVector = _Cols==1 && _Rows!=1,
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IsRowVector = _Rows==1 && _Cols!=1,
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Options = IsColVector ? (_Options | ColMajor) & ~RowMajor
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: IsRowVector ? (_Options | RowMajor) & ~ColMajor
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: _Options
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};
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public:
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typedef Matrix<_Scalar, _Rows, _Cols, Options, _MaxRows, _MaxCols> type;
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};
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template<typename Scalar, int Rows, int Cols, int Options, int MaxRows, int MaxCols>
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class ei_compute_matrix_flags
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{
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@ -89,7 +89,7 @@ template<typename _MatrixType> class ComplexEigenSolver
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* This is a column vector with entries of type #ComplexScalar.
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* The length of the vector is the size of #MatrixType.
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*/
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typedef Matrix<ComplexScalar, ColsAtCompileTime, 1, Options, MaxColsAtCompileTime, 1> EigenvalueType;
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typedef Matrix<ComplexScalar, ColsAtCompileTime, 1, Options&(~RowMajor), MaxColsAtCompileTime, 1> EigenvalueType;
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/** \brief Type for matrix of eigenvectors as returned by eigenvectors().
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*
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@ -55,7 +55,10 @@ struct ei_traits<Homogeneous<MatrixType,Direction> >
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ColsAtCompileTime = Direction==Horizontal ? ColsPlusOne : MatrixType::ColsAtCompileTime,
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MaxRowsAtCompileTime = RowsAtCompileTime,
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MaxColsAtCompileTime = ColsAtCompileTime,
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Flags = _MatrixTypeNested::Flags & HereditaryBits,
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TmpFlags = _MatrixTypeNested::Flags & HereditaryBits,
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Flags = ColsAtCompileTime==1 ? (TmpFlags & ~RowMajorBit)
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: RowsAtCompileTime==1 ? (TmpFlags | RowMajorBit)
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: TmpFlags,
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CoeffReadCost = _MatrixTypeNested::CoeffReadCost
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};
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};
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@ -210,12 +213,13 @@ VectorwiseOp<ExpressionType,Direction>::hnormalized() const
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template<typename MatrixType,typename Lhs>
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struct ei_traits<ei_homogeneous_left_product_impl<Homogeneous<MatrixType,Vertical>,Lhs> >
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{
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typedef Matrix<typename ei_traits<MatrixType>::Scalar,
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typedef typename ei_make_proper_matrix_type<
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typename ei_traits<MatrixType>::Scalar,
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Lhs::RowsAtCompileTime,
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MatrixType::ColsAtCompileTime,
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MatrixType::PlainObject::Options,
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Lhs::MaxRowsAtCompileTime,
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MatrixType::MaxColsAtCompileTime> ReturnType;
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MatrixType::MaxColsAtCompileTime>::type ReturnType;
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};
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template<typename MatrixType,typename Lhs>
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@ -249,12 +253,12 @@ struct ei_homogeneous_left_product_impl<Homogeneous<MatrixType,Vertical>,Lhs>
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template<typename MatrixType,typename Rhs>
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struct ei_traits<ei_homogeneous_right_product_impl<Homogeneous<MatrixType,Horizontal>,Rhs> >
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{
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typedef Matrix<typename ei_traits<MatrixType>::Scalar,
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typedef typename ei_make_proper_matrix_type<typename ei_traits<MatrixType>::Scalar,
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MatrixType::RowsAtCompileTime,
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Rhs::ColsAtCompileTime,
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MatrixType::PlainObject::Options,
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MatrixType::MaxRowsAtCompileTime,
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Rhs::MaxColsAtCompileTime> ReturnType;
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Rhs::MaxColsAtCompileTime>::type ReturnType;
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};
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template<typename MatrixType,typename Rhs>
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@ -66,7 +66,8 @@ void ei_apply_block_householder_on_the_left(MatrixType& mat, const VectorsType&
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const TriangularView<VectorsType, UnitLower>& V(vectors);
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// A -= V T V^* A
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Matrix<typename MatrixType::Scalar,Dynamic,Dynamic> tmp = V.adjoint() * mat;
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Matrix<typename MatrixType::Scalar,VectorsType::ColsAtCompileTime,MatrixType::ColsAtCompileTime,0,
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VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
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// FIXME add .noalias() once the triangular product can work inplace
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tmp = T.template triangularView<Upper>().adjoint() * tmp;
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mat.noalias() -= V * tmp;
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@ -32,7 +32,7 @@ template<typename Scalar,int Size> void homogeneous(void)
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*/
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typedef Matrix<Scalar,Size,Size> MatrixType;
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typedef Matrix<Scalar,Size,1> VectorType;
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typedef Matrix<Scalar,Size,1, ColMajor> VectorType;
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typedef Matrix<Scalar,Size+1,Size> HMatrixType;
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typedef Matrix<Scalar,Size+1,1> HVectorType;
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@ -80,6 +80,7 @@ template<typename Scalar,int Size> void homogeneous(void)
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VERIFY_IS_APPROX((v0.transpose().rowwise().homogeneous().eval()) * t2,
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v0.transpose().rowwise().homogeneous() * t2);
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m0.transpose().rowwise().homogeneous().eval();
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VERIFY_IS_APPROX((m0.transpose().rowwise().homogeneous().eval()) * t2,
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m0.transpose().rowwise().homogeneous() * t2);
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@ -136,12 +136,12 @@ void mixingtypes_large(int size)
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VERIFY_RAISES_ASSERT(mcf*vf);
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// VERIFY_RAISES_ASSERT(mcf *= mf); // does not even compile
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// VERIFY_RAISES_ASSERT(vcd = md*vcd); // does not even compile (cannot convert complex to double)
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VERIFY_RAISES_ASSERT(vcf = mcf*vf);
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// VERIFY_RAISES_ASSERT(vcf = mcf*vf);
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// VERIFY_RAISES_ASSERT(mf*md); // does not even compile
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// VERIFY_RAISES_ASSERT(mcf*mcd); // does not even compile
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// VERIFY_RAISES_ASSERT(mcf*vcd); // does not even compile
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VERIFY_RAISES_ASSERT(vcf = mf*vf);
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// VERIFY_RAISES_ASSERT(vcf = mf*vf);
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}
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template<int SizeAtCompileType> void mixingtypes_small()
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