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* the Upper->UpperTriangular change
* finally get ei_add_test right
This commit is contained in:
@@ -470,8 +470,8 @@ template<typename Derived> class MatrixBase
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bool isIdentity(RealScalar prec = precision<Scalar>()) const;
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bool isDiagonal(RealScalar prec = precision<Scalar>()) const;
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bool isUpper(RealScalar prec = precision<Scalar>()) const;
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bool isLower(RealScalar prec = precision<Scalar>()) const;
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bool isUpperTriangular(RealScalar prec = precision<Scalar>()) const;
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bool isLowerTriangular(RealScalar prec = precision<Scalar>()) const;
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template<typename OtherDerived>
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bool isOrthogonal(const MatrixBase<OtherDerived>& other,
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@@ -31,8 +31,8 @@
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* \brief Expression of a triangular matrix extracted from a given matrix
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*
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* \param MatrixType the type of the object in which we are taking the triangular part
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* \param Mode the kind of triangular matrix expression to construct. Can be Upper, StrictlyUpper,
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* UnitUpper, Lower, StrictlyLower, UnitLower. This is in fact a bit field; it must have either
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* \param Mode the kind of triangular matrix expression to construct. Can be UpperTriangular, StrictlyUpperTriangular,
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* UnitUpperTriangular, LowerTriangular, StrictlyLowerTriangular, UnitLowerTriangular. This is in fact a bit field; it must have either
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* UpperTriangularBit or LowerTriangularBit, and additionnaly it may have either ZeroDiagBit or
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* UnitDiagBit.
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*
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@@ -104,10 +104,10 @@ template<typename MatrixType, unsigned int Mode> class Part
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{
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EIGEN_STATIC_ASSERT(!(Flags & UnitDiagBit), WRITING_TO_TRIANGULAR_PART_WITH_UNIT_DIAGONAL_IS_NOT_SUPPORTED)
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EIGEN_STATIC_ASSERT(!(Flags & SelfAdjointBit), COEFFICIENT_WRITE_ACCESS_TO_SELFADJOINT_NOT_SUPPORTED)
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ei_assert( (Mode==Upper && col>=row)
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|| (Mode==Lower && col<=row)
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|| (Mode==StrictlyUpper && col>row)
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|| (Mode==StrictlyLower && col<row));
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ei_assert( (Mode==UpperTriangular && col>=row)
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|| (Mode==LowerTriangular && col<=row)
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|| (Mode==StrictlyUpperTriangular && col>row)
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|| (Mode==StrictlyLowerTriangular && col<row));
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return m_matrix.const_cast_derived().coeffRef(row, col);
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}
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@@ -134,8 +134,8 @@ template<typename MatrixType, unsigned int Mode> class Part
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/** \returns an expression of a triangular matrix extracted from the current matrix
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*
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* The parameter \a Mode can have the following values: \c Upper, \c StrictlyUpper, \c UnitUpper,
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* \c Lower, \c StrictlyLower, \c UnitLower.
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* The parameter \a Mode can have the following values: \c UpperTriangular, \c StrictlyUpperTriangular, \c UnitUpperTriangular,
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* \c LowerTriangular, \c StrictlyLowerTriangular, \c UnitLowerTriangular.
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*
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* \addexample PartExample \label How to extract a triangular part of an arbitrary matrix
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*
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@@ -187,11 +187,11 @@ struct ei_part_assignment_impl
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}
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else
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{
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ei_assert(Mode == Upper || Mode == Lower || Mode == StrictlyUpper || Mode == StrictlyLower);
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if((Mode == Upper && row <= col)
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|| (Mode == Lower && row >= col)
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|| (Mode == StrictlyUpper && row < col)
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|| (Mode == StrictlyLower && row > col))
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ei_assert(Mode == UpperTriangular || Mode == LowerTriangular || Mode == StrictlyUpperTriangular || Mode == StrictlyLowerTriangular);
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if((Mode == UpperTriangular && row <= col)
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|| (Mode == LowerTriangular && row >= col)
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|| (Mode == StrictlyUpperTriangular && row < col)
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|| (Mode == StrictlyLowerTriangular && row > col))
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dst.copyCoeff(row, col, src);
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}
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}
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@@ -215,7 +215,7 @@ struct ei_part_assignment_impl<Derived1, Derived2, Mode, 0>
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};
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template<typename Derived1, typename Derived2>
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struct ei_part_assignment_impl<Derived1, Derived2, Upper, Dynamic>
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struct ei_part_assignment_impl<Derived1, Derived2, UpperTriangular, Dynamic>
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{
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inline static void run(Derived1 &dst, const Derived2 &src)
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{
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@@ -226,7 +226,7 @@ struct ei_part_assignment_impl<Derived1, Derived2, Upper, Dynamic>
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};
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template<typename Derived1, typename Derived2>
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struct ei_part_assignment_impl<Derived1, Derived2, Lower, Dynamic>
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struct ei_part_assignment_impl<Derived1, Derived2, LowerTriangular, Dynamic>
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{
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inline static void run(Derived1 &dst, const Derived2 &src)
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{
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@@ -237,7 +237,7 @@ struct ei_part_assignment_impl<Derived1, Derived2, Lower, Dynamic>
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};
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template<typename Derived1, typename Derived2>
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struct ei_part_assignment_impl<Derived1, Derived2, StrictlyUpper, Dynamic>
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struct ei_part_assignment_impl<Derived1, Derived2, StrictlyUpperTriangular, Dynamic>
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{
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inline static void run(Derived1 &dst, const Derived2 &src)
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{
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@@ -247,7 +247,7 @@ struct ei_part_assignment_impl<Derived1, Derived2, StrictlyUpper, Dynamic>
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}
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};
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template<typename Derived1, typename Derived2>
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struct ei_part_assignment_impl<Derived1, Derived2, StrictlyLower, Dynamic>
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struct ei_part_assignment_impl<Derived1, Derived2, StrictlyLowerTriangular, Dynamic>
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{
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inline static void run(Derived1 &dst, const Derived2 &src)
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{
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@@ -285,8 +285,8 @@ void Part<MatrixType, Mode>::lazyAssign(const Other& other)
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/** \returns a lvalue pseudo-expression allowing to perform special operations on \c *this.
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*
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* The \a Mode parameter can have the following values: \c Upper, \c StrictlyUpper, \c Lower,
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* \c StrictlyLower, \c SelfAdjoint.
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* The \a Mode parameter can have the following values: \c UpperTriangular, \c StrictlyUpperTriangular, \c LowerTriangular,
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* \c StrictlyLowerTriangular, \c SelfAdjoint.
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*
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* \addexample PartExample \label How to write to a triangular part of a matrix
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*
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@@ -305,44 +305,44 @@ inline Part<Derived, Mode> MatrixBase<Derived>::part()
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/** \returns true if *this is approximately equal to an upper triangular matrix,
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* within the precision given by \a prec.
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*
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* \sa isLower(), extract(), part(), marked()
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* \sa isLowerTriangular(), extract(), part(), marked()
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*/
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template<typename Derived>
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bool MatrixBase<Derived>::isUpper(RealScalar prec) const
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bool MatrixBase<Derived>::isUpperTriangular(RealScalar prec) const
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{
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if(cols() != rows()) return false;
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RealScalar maxAbsOnUpperPart = static_cast<RealScalar>(-1);
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RealScalar maxAbsOnUpperTriangularPart = static_cast<RealScalar>(-1);
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for(int j = 0; j < cols(); ++j)
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for(int i = 0; i <= j; ++i)
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{
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RealScalar absValue = ei_abs(coeff(i,j));
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if(absValue > maxAbsOnUpperPart) maxAbsOnUpperPart = absValue;
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if(absValue > maxAbsOnUpperTriangularPart) maxAbsOnUpperTriangularPart = absValue;
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}
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for(int j = 0; j < cols()-1; ++j)
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for(int i = j+1; i < rows(); ++i)
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if(!ei_isMuchSmallerThan(coeff(i, j), maxAbsOnUpperPart, prec)) return false;
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if(!ei_isMuchSmallerThan(coeff(i, j), maxAbsOnUpperTriangularPart, prec)) return false;
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return true;
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}
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/** \returns true if *this is approximately equal to a lower triangular matrix,
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* within the precision given by \a prec.
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*
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* \sa isUpper(), extract(), part(), marked()
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* \sa isUpperTriangular(), extract(), part(), marked()
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*/
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template<typename Derived>
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bool MatrixBase<Derived>::isLower(RealScalar prec) const
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bool MatrixBase<Derived>::isLowerTriangular(RealScalar prec) const
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{
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if(cols() != rows()) return false;
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RealScalar maxAbsOnLowerPart = static_cast<RealScalar>(-1);
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RealScalar maxAbsOnLowerTriangularPart = static_cast<RealScalar>(-1);
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for(int j = 0; j < cols(); ++j)
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for(int i = j; i < rows(); ++i)
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{
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RealScalar absValue = ei_abs(coeff(i,j));
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if(absValue > maxAbsOnLowerPart) maxAbsOnLowerPart = absValue;
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if(absValue > maxAbsOnLowerTriangularPart) maxAbsOnLowerTriangularPart = absValue;
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}
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for(int j = 1; j < cols(); ++j)
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for(int i = 0; i < j; ++i)
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if(!ei_isMuchSmallerThan(coeff(i, j), maxAbsOnLowerPart, prec)) return false;
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if(!ei_isMuchSmallerThan(coeff(i, j), maxAbsOnLowerTriangularPart, prec)) return false;
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return true;
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}
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@@ -30,9 +30,9 @@ template<typename XprType, unsigned int Mode> struct ei_is_part<Part<XprType,Mod
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template<typename Lhs, typename Rhs,
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int TriangularPart = (int(Lhs::Flags) & LowerTriangularBit)
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? Lower
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? LowerTriangular
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: (int(Lhs::Flags) & UpperTriangularBit)
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? Upper
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? UpperTriangular
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: -1,
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int StorageOrder = ei_is_part<Lhs>::value ? -1 // this is to solve ambiguous specializations
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: int(Lhs::Flags) & (RowMajorBit|SparseBit)
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@@ -56,14 +56,14 @@ struct ei_solve_triangular_selector<Lhs,Rhs,UpLo,RowMajor|IsDense>
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typedef typename Rhs::Scalar Scalar;
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static void run(const Lhs& lhs, Rhs& other)
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{
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const bool IsLower = (UpLo==Lower);
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const bool IsLowerTriangular = (UpLo==LowerTriangular);
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const int size = lhs.cols();
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/* We perform the inverse product per block of 4 rows such that we perfectly match
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* our optimized matrix * vector product. blockyStart represents the number of rows
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* we have process first using the non-block version.
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*/
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int blockyStart = (std::max(size-5,0)/4)*4;
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if (IsLower)
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if (IsLowerTriangular)
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blockyStart = size - blockyStart;
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else
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blockyStart -= 1;
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@@ -72,15 +72,15 @@ struct ei_solve_triangular_selector<Lhs,Rhs,UpLo,RowMajor|IsDense>
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// process first rows using the non block version
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if(!(Lhs::Flags & UnitDiagBit))
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{
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if (IsLower)
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if (IsLowerTriangular)
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other.coeffRef(0,c) = other.coeff(0,c)/lhs.coeff(0, 0);
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else
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other.coeffRef(size-1,c) = other.coeff(size-1, c)/lhs.coeff(size-1, size-1);
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}
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for(int i=(IsLower ? 1 : size-2); IsLower ? i<blockyStart : i>blockyStart; i += (IsLower ? 1 : -1) )
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for(int i=(IsLowerTriangular ? 1 : size-2); IsLowerTriangular ? i<blockyStart : i>blockyStart; i += (IsLowerTriangular ? 1 : -1) )
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{
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Scalar tmp = other.coeff(i,c)
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- (IsLower ? ((lhs.row(i).start(i)) * other.col(c).start(i)).coeff(0,0)
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- (IsLowerTriangular ? ((lhs.row(i).start(i)) * other.col(c).start(i)).coeff(0,0)
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: ((lhs.row(i).end(size-i-1)) * other.col(c).end(size-i-1)).coeff(0,0));
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if (Lhs::Flags & UnitDiagBit)
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other.coeffRef(i,c) = tmp;
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@@ -89,15 +89,15 @@ struct ei_solve_triangular_selector<Lhs,Rhs,UpLo,RowMajor|IsDense>
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}
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// now let's process the remaining rows 4 at once
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for(int i=blockyStart; IsLower ? i<size : i>0; )
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for(int i=blockyStart; IsLowerTriangular ? i<size : i>0; )
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{
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int startBlock = i;
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int endBlock = startBlock + (IsLower ? 4 : -4);
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int endBlock = startBlock + (IsLowerTriangular ? 4 : -4);
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/* Process the i cols times 4 rows block, and keep the result in a temporary vector */
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// FIXME use fixed size block but take care to small fixed size matrices...
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Matrix<Scalar,Dynamic,1> btmp(4);
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if (IsLower)
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if (IsLowerTriangular)
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btmp = lhs.block(startBlock,0,4,i) * other.col(c).start(i);
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else
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btmp = lhs.block(i-3,i+1,4,size-1-i) * other.col(c).end(size-1-i);
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@@ -106,21 +106,21 @@ struct ei_solve_triangular_selector<Lhs,Rhs,UpLo,RowMajor|IsDense>
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* btmp stores the diagonal coefficients used to update the remaining part of the result.
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*/
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{
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Scalar tmp = other.coeff(startBlock,c)-btmp.coeff(IsLower?0:3);
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Scalar tmp = other.coeff(startBlock,c)-btmp.coeff(IsLowerTriangular?0:3);
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if (Lhs::Flags & UnitDiagBit)
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other.coeffRef(i,c) = tmp;
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else
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other.coeffRef(i,c) = tmp/lhs.coeff(i,i);
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}
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i += IsLower ? 1 : -1;
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for (;IsLower ? i<endBlock : i>endBlock; i += IsLower ? 1 : -1)
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i += IsLowerTriangular ? 1 : -1;
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for (;IsLowerTriangular ? i<endBlock : i>endBlock; i += IsLowerTriangular ? 1 : -1)
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{
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int remainingSize = IsLower ? i-startBlock : startBlock-i;
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int remainingSize = IsLowerTriangular ? i-startBlock : startBlock-i;
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Scalar tmp = other.coeff(i,c)
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- btmp.coeff(IsLower ? remainingSize : 3-remainingSize)
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- ( lhs.row(i).segment(IsLower ? startBlock : i+1, remainingSize)
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* other.col(c).segment(IsLower ? startBlock : i+1, remainingSize)).coeff(0,0);
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- btmp.coeff(IsLowerTriangular ? remainingSize : 3-remainingSize)
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- ( lhs.row(i).segment(IsLowerTriangular ? startBlock : i+1, remainingSize)
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* other.col(c).segment(IsLowerTriangular ? startBlock : i+1, remainingSize)).coeff(0,0);
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if (Lhs::Flags & UnitDiagBit)
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other.coeffRef(i,c) = tmp;
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@@ -133,10 +133,10 @@ struct ei_solve_triangular_selector<Lhs,Rhs,UpLo,RowMajor|IsDense>
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};
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// Implements the following configurations:
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// - inv(Lower, ColMajor) * Column vector
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// - inv(Lower,UnitDiag,ColMajor) * Column vector
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// - inv(Upper, ColMajor) * Column vector
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// - inv(Upper,UnitDiag,ColMajor) * Column vector
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// - inv(LowerTriangular, ColMajor) * Column vector
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// - inv(LowerTriangular,UnitDiag,ColMajor) * Column vector
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// - inv(UpperTriangular, ColMajor) * Column vector
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// - inv(UpperTriangular,UnitDiag,ColMajor) * Column vector
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template<typename Lhs, typename Rhs, int UpLo>
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struct ei_solve_triangular_selector<Lhs,Rhs,UpLo,ColMajor|IsDense>
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{
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@@ -146,7 +146,7 @@ struct ei_solve_triangular_selector<Lhs,Rhs,UpLo,ColMajor|IsDense>
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static void run(const Lhs& lhs, Rhs& other)
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{
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static const bool IsLower = (UpLo==Lower);
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static const bool IsLowerTriangular = (UpLo==LowerTriangular);
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const int size = lhs.cols();
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for(int c=0 ; c<other.cols() ; ++c)
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{
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@@ -155,27 +155,27 @@ struct ei_solve_triangular_selector<Lhs,Rhs,UpLo,ColMajor|IsDense>
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* we can process using the block version.
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*/
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int blockyEnd = (std::max(size-5,0)/4)*4;
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if (!IsLower)
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if (!IsLowerTriangular)
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blockyEnd = size-1 - blockyEnd;
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for(int i=IsLower ? 0 : size-1; IsLower ? i<blockyEnd : i>blockyEnd;)
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for(int i=IsLowerTriangular ? 0 : size-1; IsLowerTriangular ? i<blockyEnd : i>blockyEnd;)
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{
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/* Let's process the 4x4 sub-matrix as usual.
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* btmp stores the diagonal coefficients used to update the remaining part of the result.
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*/
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int startBlock = i;
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int endBlock = startBlock + (IsLower ? 4 : -4);
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int endBlock = startBlock + (IsLowerTriangular ? 4 : -4);
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Matrix<Scalar,4,1> btmp;
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for (;IsLower ? i<endBlock : i>endBlock;
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i += IsLower ? 1 : -1)
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for (;IsLowerTriangular ? i<endBlock : i>endBlock;
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i += IsLowerTriangular ? 1 : -1)
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{
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if(!(Lhs::Flags & UnitDiagBit))
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other.coeffRef(i,c) /= lhs.coeff(i,i);
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int remainingSize = IsLower ? endBlock-i-1 : i-endBlock-1;
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int remainingSize = IsLowerTriangular ? endBlock-i-1 : i-endBlock-1;
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if (remainingSize>0)
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other.col(c).segment((IsLower ? i : endBlock) + 1, remainingSize) -=
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other.col(c).segment((IsLowerTriangular ? i : endBlock) + 1, remainingSize) -=
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other.coeffRef(i,c)
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* Block<Lhs,Dynamic,1>(lhs, (IsLower ? i : endBlock) + 1, i, remainingSize, 1);
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btmp.coeffRef(IsLower ? i-startBlock : remainingSize) = -other.coeffRef(i,c);
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* Block<Lhs,Dynamic,1>(lhs, (IsLowerTriangular ? i : endBlock) + 1, i, remainingSize, 1);
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btmp.coeffRef(IsLowerTriangular ? i-startBlock : remainingSize) = -other.coeffRef(i,c);
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}
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/* Now we can efficiently update the remaining part of the result as a matrix * vector product.
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@@ -187,11 +187,11 @@ struct ei_solve_triangular_selector<Lhs,Rhs,UpLo,ColMajor|IsDense>
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// FIXME this is cool but what about conjugate/adjoint expressions ? do we want to evaluate them ?
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// this is a more general problem though.
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ei_cache_friendly_product_colmajor_times_vector(
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IsLower ? size-endBlock : endBlock+1,
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&(lhs.const_cast_derived().coeffRef(IsLower ? endBlock : 0, IsLower ? startBlock : endBlock+1)),
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IsLowerTriangular ? size-endBlock : endBlock+1,
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&(lhs.const_cast_derived().coeffRef(IsLowerTriangular ? endBlock : 0, IsLowerTriangular ? startBlock : endBlock+1)),
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lhs.stride(),
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btmp, &(other.coeffRef(IsLower ? endBlock : 0, c)));
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// if (IsLower)
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btmp, &(other.coeffRef(IsLowerTriangular ? endBlock : 0, c)));
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// if (IsLowerTriangular)
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// other.col(c).end(size-endBlock) += (lhs.block(endBlock, startBlock, size-endBlock, endBlock-startBlock)
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// * other.col(c).block(startBlock,endBlock-startBlock)).lazy();
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// else
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@@ -201,7 +201,7 @@ struct ei_solve_triangular_selector<Lhs,Rhs,UpLo,ColMajor|IsDense>
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/* Now we have to process the remaining part as usual */
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int i;
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for(i=blockyEnd; IsLower ? i<size-1 : i>0; i += (IsLower ? 1 : -1) )
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for(i=blockyEnd; IsLowerTriangular ? i<size-1 : i>0; i += (IsLowerTriangular ? 1 : -1) )
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{
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if(!(Lhs::Flags & UnitDiagBit))
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other.coeffRef(i,c) /= lhs.coeff(i,i);
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@@ -209,7 +209,7 @@ struct ei_solve_triangular_selector<Lhs,Rhs,UpLo,ColMajor|IsDense>
|
||||
/* NOTE we cannot use lhs.col(i).end(size-i-1) because Part::coeffRef gets called by .col() to
|
||||
* get the address of the start of the row
|
||||
*/
|
||||
if(IsLower)
|
||||
if(IsLowerTriangular)
|
||||
other.col(c).end(size-i-1) -= other.coeffRef(i,c) * Block<Lhs,Dynamic,1>(lhs, i+1,i, size-i-1,1);
|
||||
else
|
||||
other.col(c).start(i) -= other.coeffRef(i,c) * Block<Lhs,Dynamic,1>(lhs, 0,i, i, 1);
|
||||
|
||||
@@ -167,7 +167,7 @@ struct ei_inplace_transpose_selector;
|
||||
template<typename MatrixType>
|
||||
struct ei_inplace_transpose_selector<MatrixType,true> { // square matrix
|
||||
static void run(MatrixType& m) {
|
||||
m.template part<StrictlyUpper>().swap(m.transpose());
|
||||
m.template part<StrictlyUpperTriangular>().swap(m.transpose());
|
||||
}
|
||||
};
|
||||
|
||||
@@ -175,7 +175,7 @@ template<typename MatrixType>
|
||||
struct ei_inplace_transpose_selector<MatrixType,false> { // non square matrix
|
||||
static void run(MatrixType& m) {
|
||||
if (m.rows()==m.cols())
|
||||
m.template part<StrictlyUpper>().swap(m.transpose());
|
||||
m.template part<StrictlyUpperTriangular>().swap(m.transpose());
|
||||
else
|
||||
m.set(m.transpose().eval());
|
||||
}
|
||||
|
||||
@@ -185,16 +185,16 @@ const unsigned int HereditaryBits = RowMajorBit
|
||||
| SparseBit;
|
||||
|
||||
// Possible values for the Mode parameter of part() and of extract()
|
||||
const unsigned int Upper = UpperTriangularBit;
|
||||
const unsigned int StrictlyUpper = UpperTriangularBit | ZeroDiagBit;
|
||||
const unsigned int Lower = LowerTriangularBit;
|
||||
const unsigned int StrictlyLower = LowerTriangularBit | ZeroDiagBit;
|
||||
const unsigned int UpperTriangular = UpperTriangularBit;
|
||||
const unsigned int StrictlyUpperTriangular = UpperTriangularBit | ZeroDiagBit;
|
||||
const unsigned int LowerTriangular = LowerTriangularBit;
|
||||
const unsigned int StrictlyLowerTriangular = LowerTriangularBit | ZeroDiagBit;
|
||||
const unsigned int SelfAdjoint = SelfAdjointBit;
|
||||
|
||||
// additional possible values for the Mode parameter of extract()
|
||||
const unsigned int UnitUpper = UpperTriangularBit | UnitDiagBit;
|
||||
const unsigned int UnitLower = LowerTriangularBit | UnitDiagBit;
|
||||
const unsigned int Diagonal = Upper | Lower;
|
||||
const unsigned int UnitUpperTriangular = UpperTriangularBit | UnitDiagBit;
|
||||
const unsigned int UnitLowerTriangular = LowerTriangularBit | UnitDiagBit;
|
||||
const unsigned int Diagonal = UpperTriangular | LowerTriangular;
|
||||
|
||||
enum { Aligned, Unaligned };
|
||||
enum { ForceAligned, AsRequested };
|
||||
|
||||
Reference in New Issue
Block a user