mirror of
https://gitlab.com/libeigen/eigen.git
synced 2025-03-19 18:40:38 +08:00
Renamed PlainMatrixType to PlainObject (Array != Matrix).
Renamed ReturnByValue::ReturnMatrixType ReturnByValue::ReturnType (again, Array != Matrix).
This commit is contained in:
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@ -41,7 +41,7 @@ class Array
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EIGEN_DENSE_PUBLIC_INTERFACE(Array)
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enum { Options = _Options };
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typedef typename Base::PlainMatrixType PlainMatrixType;
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typedef typename Base::PlainObject PlainObject;
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protected:
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using Base::m_storage;
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@ -97,7 +97,7 @@ template<typename Derived> class ArrayBase
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/** \internal the plain matrix type corresponding to this expression. Note that is not necessarily
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* exactly the return type of eval(): in the case of plain matrices, the return type of eval() is a const
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* reference to a matrix, not a matrix! It is however guaranteed that the return type of eval() is either
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* PlainMatrixType or const PlainMatrixType&.
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* PlainObject or const PlainObject&.
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*/
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typedef Array<typename ei_traits<Derived>::Scalar,
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ei_traits<Derived>::RowsAtCompileTime,
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@ -105,7 +105,7 @@ template<typename Derived> class ArrayBase
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AutoAlign | (ei_traits<Derived>::Flags&RowMajorBit ? RowMajor : ColMajor),
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ei_traits<Derived>::MaxRowsAtCompileTime,
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ei_traits<Derived>::MaxColsAtCompileTime
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> PlainMatrixType;
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> PlainObject;
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/** \internal Represents a matrix with all coefficients equal to one another*/
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@ -462,7 +462,7 @@ template<typename ExpressionType, int Direction> class VectorwiseOp
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const Homogeneous<ExpressionType,Direction> homogeneous() const;
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typedef typename ExpressionType::PlainMatrixType CrossReturnType;
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typedef typename ExpressionType::PlainObject CrossReturnType;
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template<typename OtherDerived>
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const CrossReturnType cross(const MatrixBase<OtherDerived>& other) const;
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@ -319,7 +319,7 @@ bool LDLT<MatrixType>::solveInPlace(MatrixBase<Derived> &bAndX) const
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* \returns the Cholesky decomposition with full pivoting without square root of \c *this
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*/
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template<typename Derived>
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inline const LDLT<typename MatrixBase<Derived>::PlainMatrixType>
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inline const LDLT<typename MatrixBase<Derived>::PlainObject>
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MatrixBase<Derived>::ldlt() const
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{
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return derived();
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@ -299,20 +299,20 @@ bool LLT<MatrixType,_UpLo>::solveInPlace(MatrixBase<Derived> &bAndX) const
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* \returns the LLT decomposition of \c *this
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*/
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template<typename Derived>
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inline const LLT<typename MatrixBase<Derived>::PlainMatrixType>
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inline const LLT<typename MatrixBase<Derived>::PlainObject>
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MatrixBase<Derived>::llt() const
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{
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return LLT<PlainMatrixType>(derived());
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return LLT<PlainObject>(derived());
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}
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/** \cholesky_module
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* \returns the LLT decomposition of \c *this
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*/
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template<typename MatrixType, unsigned int UpLo>
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inline const LLT<typename SelfAdjointView<MatrixType, UpLo>::PlainMatrixType, UpLo>
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inline const LLT<typename SelfAdjointView<MatrixType, UpLo>::PlainObject, UpLo>
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SelfAdjointView<MatrixType, UpLo>::llt() const
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{
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return LLT<PlainMatrixType,UpLo>(m_matrix);
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return LLT<PlainObject,UpLo>(m_matrix);
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}
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#endif // EIGEN_LLT_H
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@ -44,7 +44,7 @@ class DenseStorageBase : public _Base<Derived>
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public:
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enum { Options = _Options };
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typedef _Base<Derived> Base;
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typedef typename Base::PlainMatrixType PlainMatrixType;
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typedef typename Base::PlainObject PlainObject;
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typedef typename Base::Scalar Scalar;
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typedef typename Base::PacketScalar PacketScalar;
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using Base::RowsAtCompileTime;
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@ -544,7 +544,7 @@ struct ei_conservative_resize_like_impl
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{
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if (_this.rows() == rows && _this.cols() == cols) return;
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EIGEN_STATIC_ASSERT_DYNAMIC_SIZE(Derived)
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typename Derived::PlainMatrixType tmp(rows,cols);
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typename Derived::PlainObject tmp(rows,cols);
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const int common_rows = std::min(rows, _this.rows());
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const int common_cols = std::min(cols, _this.cols());
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tmp.block(0,0,common_rows,common_cols) = _this.block(0,0,common_rows,common_cols);
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@ -563,7 +563,7 @@ struct ei_conservative_resize_like_impl
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EIGEN_STATIC_ASSERT_DYNAMIC_SIZE(Derived)
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EIGEN_STATIC_ASSERT_DYNAMIC_SIZE(OtherDerived)
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typename Derived::PlainMatrixType tmp(other);
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typename Derived::PlainObject tmp(other);
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const int common_rows = std::min(tmp.rows(), _this.rows());
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const int common_cols = std::min(tmp.cols(), _this.cols());
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tmp.block(0,0,common_rows,common_cols) = _this.block(0,0,common_rows,common_cols);
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@ -577,7 +577,7 @@ struct ei_conservative_resize_like_impl<Derived,OtherDerived,true>
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static void run(DenseBase<Derived>& _this, int size)
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{
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if (_this.size() == size) return;
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typename Derived::PlainMatrixType tmp(size);
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typename Derived::PlainObject tmp(size);
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const int common_size = std::min<int>(_this.size(),size);
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tmp.segment(0,common_size) = _this.segment(0,common_size);
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_this.derived().swap(tmp);
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@ -588,7 +588,7 @@ struct ei_conservative_resize_like_impl<Derived,OtherDerived,true>
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if (_this.rows() == other.rows() && _this.cols() == other.cols()) return;
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// segment(...) will check whether Derived/OtherDerived are vectors!
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typename Derived::PlainMatrixType tmp(other);
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typename Derived::PlainObject tmp(other);
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const int common_size = std::min<int>(_this.size(),tmp.size());
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tmp.segment(0,common_size) = _this.segment(0,common_size);
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_this.derived().swap(tmp);
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@ -299,7 +299,7 @@ inline typename NumTraits<typename ei_traits<Derived>::Scalar>::Real MatrixBase<
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* \sa norm(), normalize()
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*/
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template<typename Derived>
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inline const typename MatrixBase<Derived>::PlainMatrixType
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inline const typename MatrixBase<Derived>::PlainObject
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MatrixBase<Derived>::normalized() const
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{
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typedef typename ei_nested<Derived>::type Nested;
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@ -37,7 +37,7 @@
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*/
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template<typename Derived> struct EigenBase
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{
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// typedef typename ei_plain_matrix_type<Derived>::type PlainMatrixType;
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// typedef typename ei_plain_matrix_type<Derived>::type PlainObject;
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/** \returns a reference to the derived object */
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Derived& derived() { return *static_cast<Derived*>(this); }
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@ -61,7 +61,7 @@ template<typename Derived> struct EigenBase
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{
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// This is the default implementation,
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// derived class can reimplement it in a more optimized way.
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typename Dest::PlainMatrixType res(rows(),cols());
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typename Dest::PlainObject res(rows(),cols());
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evalTo(res);
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dst += res;
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}
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@ -71,7 +71,7 @@ template<typename Derived> struct EigenBase
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{
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// This is the default implementation,
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// derived class can reimplement it in a more optimized way.
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typename Dest::PlainMatrixType res(rows(),cols());
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typename Dest::PlainObject res(rows(),cols());
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evalTo(res);
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dst -= res;
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}
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@ -109,7 +109,7 @@ template<typename ExpressionType, unsigned int Added, unsigned int Removed> clas
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const ExpressionType& _expression() const { return m_matrix; }
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template<typename OtherDerived>
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typename ExpressionType::PlainMatrixType solveTriangular(const MatrixBase<OtherDerived>& other) const;
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typename ExpressionType::PlainObject solveTriangular(const MatrixBase<OtherDerived>& other) const;
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template<typename OtherDerived>
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void solveTriangularInPlace(const MatrixBase<OtherDerived>& other) const;
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@ -139,7 +139,7 @@ class Matrix
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EIGEN_DENSE_PUBLIC_INTERFACE(Matrix)
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typedef typename Base::PlainMatrixType PlainMatrixType;
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typedef typename Base::PlainObject PlainObject;
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enum { NeedsToAlign = (!(Options&DontAlign))
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&& SizeAtCompileTime!=Dynamic && ((sizeof(Scalar)*SizeAtCompileTime)%16)==0 };
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@ -121,7 +121,7 @@ template<typename Derived> class MatrixBase
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*
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* This is not necessarily exactly the return type of eval(). In the case of plain matrices,
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* the return type of eval() is a const reference to a matrix, not a matrix! It is however guaranteed
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* that the return type of eval() is either PlainMatrixType or const PlainMatrixType&.
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* that the return type of eval() is either PlainObject or const PlainObject&.
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*/
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typedef Matrix<typename ei_traits<Derived>::Scalar,
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ei_traits<Derived>::RowsAtCompileTime,
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@ -129,8 +129,7 @@ template<typename Derived> class MatrixBase
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AutoAlign | (ei_traits<Derived>::Flags&RowMajorBit ? RowMajor : ColMajor),
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ei_traits<Derived>::MaxRowsAtCompileTime,
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ei_traits<Derived>::MaxColsAtCompileTime
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> PlainMatrixType;
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// typedef typename ei_plain_matrix_type<Derived>::type PlainMatrixType;
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> PlainObject;
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#ifndef EIGEN_PARSED_BY_DOXYGEN
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/** \internal Represents a matrix with all coefficients equal to one another*/
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@ -212,7 +211,7 @@ template<typename Derived> class MatrixBase
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RealScalar stableNorm() const;
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RealScalar blueNorm() const;
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RealScalar hypotNorm() const;
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const PlainMatrixType normalized() const;
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const PlainObject normalized() const;
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void normalize();
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const AdjointReturnType adjoint() const;
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@ -301,9 +300,9 @@ template<typename Derived> class MatrixBase
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/////////// LU module ///////////
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const FullPivLU<PlainMatrixType> fullPivLu() const;
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const PartialPivLU<PlainMatrixType> partialPivLu() const;
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const PartialPivLU<PlainMatrixType> lu() const;
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const FullPivLU<PlainObject> fullPivLu() const;
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const PartialPivLU<PlainObject> partialPivLu() const;
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const PartialPivLU<PlainObject> lu() const;
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const ei_inverse_impl<Derived> inverse() const;
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template<typename ResultType>
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void computeInverseAndDetWithCheck(
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@ -322,29 +321,29 @@ template<typename Derived> class MatrixBase
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/////////// Cholesky module ///////////
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const LLT<PlainMatrixType> llt() const;
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const LDLT<PlainMatrixType> ldlt() const;
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const LLT<PlainObject> llt() const;
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const LDLT<PlainObject> ldlt() const;
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/////////// QR module ///////////
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const HouseholderQR<PlainMatrixType> householderQr() const;
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const ColPivHouseholderQR<PlainMatrixType> colPivHouseholderQr() const;
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const FullPivHouseholderQR<PlainMatrixType> fullPivHouseholderQr() const;
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const HouseholderQR<PlainObject> householderQr() const;
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const ColPivHouseholderQR<PlainObject> colPivHouseholderQr() const;
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const FullPivHouseholderQR<PlainObject> fullPivHouseholderQr() const;
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EigenvaluesReturnType eigenvalues() const;
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RealScalar operatorNorm() const;
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/////////// SVD module ///////////
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SVD<PlainMatrixType> svd() const;
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SVD<PlainObject> svd() const;
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/////////// Geometry module ///////////
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template<typename OtherDerived>
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PlainMatrixType cross(const MatrixBase<OtherDerived>& other) const;
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PlainObject cross(const MatrixBase<OtherDerived>& other) const;
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template<typename OtherDerived>
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PlainMatrixType cross3(const MatrixBase<OtherDerived>& other) const;
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PlainMatrixType unitOrthogonal(void) const;
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PlainObject cross3(const MatrixBase<OtherDerived>& other) const;
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PlainObject unitOrthogonal(void) const;
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Matrix<Scalar,3,1> eulerAngles(int a0, int a1, int a2) const;
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const ScalarMultipleReturnType operator*(const UniformScaling<Scalar>& s) const;
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enum {
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@ -280,7 +280,7 @@ operator*(const PermutationMatrix<SizeAtCompileTime, MaxSizeAtCompileTime> &perm
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template<typename PermutationType, typename MatrixType, int Side>
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struct ei_traits<ei_permut_matrix_product_retval<PermutationType, MatrixType, Side> >
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{
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typedef typename MatrixType::PlainMatrixType ReturnMatrixType;
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typedef typename MatrixType::PlainObject ReturnType;
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};
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template<typename PermutationType, typename MatrixType, int Side>
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@ -88,7 +88,7 @@ class ProductBase : public MatrixBase<Derived>
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public:
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typedef typename Base::PlainMatrixType PlainMatrixType;
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typedef typename Base::PlainObject PlainObject;
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ProductBase(const Lhs& lhs, const Rhs& rhs)
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: m_lhs(lhs), m_rhs(rhs)
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@ -116,8 +116,8 @@ class ProductBase : public MatrixBase<Derived>
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const _LhsNested& lhs() const { return m_lhs; }
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const _RhsNested& rhs() const { return m_rhs; }
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// Implicit convertion to the nested type (trigger the evaluation of the product)
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operator const PlainMatrixType& () const
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// Implicit conversion to the nested type (trigger the evaluation of the product)
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operator const PlainObject& () const
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{
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m_result.resize(m_lhs.rows(), m_rhs.cols());
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this->evalTo(m_result);
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@ -139,7 +139,7 @@ class ProductBase : public MatrixBase<Derived>
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const LhsNested m_lhs;
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const RhsNested m_rhs;
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mutable PlainMatrixType m_result;
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mutable PlainObject m_result;
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private:
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@ -152,10 +152,10 @@ class ProductBase : public MatrixBase<Derived>
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// here we need to overload the nested rule for products
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// such that the nested type is a const reference to a plain matrix
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template<typename Lhs, typename Rhs, int Mode, int N, typename PlainMatrixType>
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struct ei_nested<GeneralProduct<Lhs,Rhs,Mode>, N, PlainMatrixType>
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template<typename Lhs, typename Rhs, int Mode, int N, typename PlainObject>
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struct ei_nested<GeneralProduct<Lhs,Rhs,Mode>, N, PlainObject>
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{
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typedef PlainMatrixType const& type;
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typedef PlainObject const& type;
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};
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template<typename NestedProduct>
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@ -31,7 +31,7 @@
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*/
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template<typename Derived>
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struct ei_traits<ReturnByValue<Derived> >
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: public ei_traits<typename ei_traits<Derived>::ReturnMatrixType>
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: public ei_traits<typename ei_traits<Derived>::ReturnType>
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{
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enum {
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// FIXME had to remove the DirectAccessBit for usage like
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@ -42,7 +42,7 @@ struct ei_traits<ReturnByValue<Derived> >
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// The fact that I had to do that shows that when doing xpr.block() with a non-direct-access xpr,
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// even if xpr has the EvalBeforeNestingBit, the block() doesn't use direct access on the evaluated
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// xpr.
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Flags = (ei_traits<typename ei_traits<Derived>::ReturnMatrixType>::Flags
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Flags = (ei_traits<typename ei_traits<Derived>::ReturnType>::Flags
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| EvalBeforeNestingBit) & ~DirectAccessBit
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};
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};
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@ -51,18 +51,18 @@ struct ei_traits<ReturnByValue<Derived> >
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* So the only way that nesting it in an expression can work, is by evaluating it into a plain matrix.
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* So ei_nested always gives the plain return matrix type.
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*/
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template<typename Derived,int n,typename PlainMatrixType>
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struct ei_nested<ReturnByValue<Derived>, n, PlainMatrixType>
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template<typename Derived,int n,typename PlainObject>
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struct ei_nested<ReturnByValue<Derived>, n, PlainObject>
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{
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typedef typename ei_traits<Derived>::ReturnMatrixType type;
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typedef typename ei_traits<Derived>::ReturnType type;
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};
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template<typename Derived> class ReturnByValue
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: public ei_traits<Derived>::ReturnMatrixType::template MakeBase<ReturnByValue<Derived> >::Type
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: public ei_traits<Derived>::ReturnType::template MakeBase<ReturnByValue<Derived> >::Type
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{
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public:
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typedef typename ei_traits<Derived>::ReturnMatrixType ReturnMatrixType;
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typedef typename ReturnMatrixType::template MakeBase<ReturnByValue<Derived> >::Type Base;
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typedef typename ei_traits<Derived>::ReturnType ReturnType;
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typedef typename ReturnType::template MakeBase<ReturnByValue<Derived> >::Type Base;
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EIGEN_DENSE_PUBLIC_INTERFACE(ReturnByValue)
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template<typename Dest>
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@ -68,7 +68,7 @@ template<typename MatrixType, unsigned int UpLo> class SelfAdjointView
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enum {
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Mode = ei_traits<SelfAdjointView>::Mode
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};
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typedef typename MatrixType::PlainMatrixType PlainMatrixType;
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typedef typename MatrixType::PlainObject PlainObject;
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inline SelfAdjointView(const MatrixType& matrix) : m_matrix(matrix)
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{ ei_assert(ei_are_flags_consistent<Mode>::ret); }
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@ -146,8 +146,8 @@ template<typename MatrixType, unsigned int UpLo> class SelfAdjointView
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/////////// Cholesky module ///////////
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const LLT<PlainMatrixType, UpLo> llt() const;
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const LDLT<PlainMatrixType> ldlt() const;
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const LLT<PlainObject, UpLo> llt() const;
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const LDLT<PlainObject> ldlt() const;
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protected:
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const typename MatrixType::Nested m_matrix;
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@ -124,8 +124,8 @@ template<typename Derived>
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inline Derived& DenseBase<Derived>::operator*=(const Scalar& other)
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{
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SelfCwiseBinaryOp<ei_scalar_product_op<Scalar>, Derived> tmp(derived());
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typedef typename Derived::PlainMatrixType PlainMatrixType;
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tmp = PlainMatrixType::Constant(rows(),cols(),other);
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typedef typename Derived::PlainObject PlainObject;
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tmp = PlainObject::Constant(rows(),cols(),other);
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return derived();
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}
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@ -133,8 +133,8 @@ template<typename Derived>
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inline Derived& DenseBase<Derived>::operator/=(const Scalar& other)
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{
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SelfCwiseBinaryOp<typename ei_meta_if<NumTraits<Scalar>::HasFloatingPoint,ei_scalar_product_op<Scalar>,ei_scalar_quotient_op<Scalar> >::ret, Derived> tmp(derived());
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typedef typename Derived::PlainMatrixType PlainMatrixType;
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tmp = PlainMatrixType::Constant(rows(),cols(), NumTraits<Scalar>::HasFloatingPoint ? Scalar(1)/other : other);
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typedef typename Derived::PlainObject PlainObject;
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tmp = PlainObject::Constant(rows(),cols(), NumTraits<Scalar>::HasFloatingPoint ? Scalar(1)/other : other);
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return derived();
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}
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@ -148,7 +148,7 @@ template<typename _MatrixType, unsigned int _Mode> class TriangularView
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typedef TriangularBase<TriangularView> Base;
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typedef typename ei_traits<TriangularView>::Scalar Scalar;
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typedef _MatrixType MatrixType;
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typedef typename MatrixType::PlainMatrixType DenseMatrixType;
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typedef typename MatrixType::PlainObject DenseMatrixType;
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typedef typename MatrixType::Nested MatrixTypeNested;
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typedef typename ei_cleantype<MatrixTypeNested>::type _MatrixTypeNested;
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@ -109,7 +109,7 @@ class CoeffBasedProduct
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typedef MatrixBase<CoeffBasedProduct> Base;
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EIGEN_DENSE_PUBLIC_INTERFACE(CoeffBasedProduct)
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typedef typename Base::PlainMatrixType PlainMatrixType;
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typedef typename Base::PlainObject PlainObject;
|
||||
|
||||
private:
|
||||
|
||||
@ -181,8 +181,8 @@ class CoeffBasedProduct
|
||||
return res;
|
||||
}
|
||||
|
||||
// Implicit convertion to the nested type (trigger the evaluation of the product)
|
||||
operator const PlainMatrixType& () const
|
||||
// Implicit conversion to the nested type (trigger the evaluation of the product)
|
||||
operator const PlainObject& () const
|
||||
{
|
||||
m_result.lazyAssign(*this);
|
||||
return m_result;
|
||||
@ -205,15 +205,15 @@ class CoeffBasedProduct
|
||||
const LhsNested m_lhs;
|
||||
const RhsNested m_rhs;
|
||||
|
||||
mutable PlainMatrixType m_result;
|
||||
mutable PlainObject m_result;
|
||||
};
|
||||
|
||||
// here we need to overload the nested rule for products
|
||||
// such that the nested type is a const reference to a plain matrix
|
||||
template<typename Lhs, typename Rhs, int N, typename PlainMatrixType>
|
||||
struct ei_nested<CoeffBasedProduct<Lhs,Rhs,EvalBeforeNestingBit|EvalBeforeAssigningBit>, N, PlainMatrixType>
|
||||
template<typename Lhs, typename Rhs, int N, typename PlainObject>
|
||||
struct ei_nested<CoeffBasedProduct<Lhs,Rhs,EvalBeforeNestingBit|EvalBeforeAssigningBit>, N, PlainObject>
|
||||
{
|
||||
typedef PlainMatrixType const& type;
|
||||
typedef PlainObject const& type;
|
||||
};
|
||||
|
||||
/***************************************************************************
|
||||
|
@ -166,7 +166,7 @@ template<typename XprType> struct ei_blas_traits
|
||||
};
|
||||
typedef typename ei_meta_if<int(ActualAccess)==HasDirectAccess,
|
||||
ExtractType,
|
||||
typename _ExtractType::PlainMatrixType
|
||||
typename _ExtractType::PlainObject
|
||||
>::ret DirectLinearAccessType;
|
||||
static inline ExtractType extract(const XprType& x) { return x; }
|
||||
static inline Scalar extractScalarFactor(const XprType&) { return Scalar(1); }
|
||||
@ -227,7 +227,7 @@ struct ei_blas_traits<Transpose<NestedXpr> >
|
||||
typedef Transpose<typename Base::_ExtractType> _ExtractType;
|
||||
typedef typename ei_meta_if<int(Base::ActualAccess)==HasDirectAccess,
|
||||
ExtractType,
|
||||
typename ExtractType::PlainMatrixType
|
||||
typename ExtractType::PlainObject
|
||||
>::ret DirectLinearAccessType;
|
||||
enum {
|
||||
IsTransposed = Base::IsTransposed ? 0 : 1
|
||||
|
@ -147,7 +147,7 @@ template<typename T, typename StorageType = typename ei_traits<T>::StorageType>
|
||||
template<typename T> struct ei_eval<T,Dense>
|
||||
{
|
||||
typedef typename ei_plain_matrix_type<T>::type type;
|
||||
// typedef typename T::PlainMatrixType type;
|
||||
// typedef typename T::PlainObject type;
|
||||
// typedef T::Matrix<typename ei_traits<T>::Scalar,
|
||||
// ei_traits<T>::RowsAtCompileTime,
|
||||
// ei_traits<T>::ColsAtCompileTime,
|
||||
@ -256,7 +256,7 @@ struct ei_ref_selector
|
||||
* const Matrix3d&, because the internal logic of ei_nested determined that since a was already a matrix, there was no point
|
||||
* in copying it into another matrix.
|
||||
*/
|
||||
template<typename T, int n=1, typename PlainMatrixType = typename ei_eval<T>::type> struct ei_nested
|
||||
template<typename T, int n=1, typename PlainObject = typename ei_eval<T>::type> struct ei_nested
|
||||
{
|
||||
enum {
|
||||
CostEval = (n+1) * int(NumTraits<typename ei_traits<T>::Scalar>::ReadCost),
|
||||
@ -266,7 +266,7 @@ template<typename T, int n=1, typename PlainMatrixType = typename ei_eval<T>::ty
|
||||
typedef typename ei_meta_if<
|
||||
( int(ei_traits<T>::Flags) & EvalBeforeNestingBit ) ||
|
||||
( int(CostEval) <= int(CostNoEval) ),
|
||||
PlainMatrixType,
|
||||
PlainObject,
|
||||
typename ei_ref_selector<T>::type
|
||||
>::ret type;
|
||||
};
|
||||
|
@ -37,7 +37,7 @@ const unsigned int UnitLowerTriangular = UnitLower;
|
||||
|
||||
template<typename ExpressionType, unsigned int Added, unsigned int Removed>
|
||||
template<typename OtherDerived>
|
||||
typename ExpressionType::PlainMatrixType
|
||||
typename ExpressionType::PlainObject
|
||||
Flagged<ExpressionType,Added,Removed>::solveTriangular(const MatrixBase<OtherDerived>& other) const
|
||||
{
|
||||
return m_matrix.template triangularView<Added>.solve(other.derived());
|
||||
|
@ -276,7 +276,7 @@ inline Matrix<typename NumTraits<typename ei_traits<Derived>::Scalar>::Real, ei_
|
||||
MatrixBase<Derived>::eigenvalues() const
|
||||
{
|
||||
ei_assert(Flags&SelfAdjoint);
|
||||
return SelfAdjointEigenSolver<typename Derived::PlainMatrixType>(eval(),false).eigenvalues();
|
||||
return SelfAdjointEigenSolver<typename Derived::PlainObject>(eval(),false).eigenvalues();
|
||||
}
|
||||
|
||||
template<typename Derived, bool IsSelfAdjoint>
|
||||
@ -296,7 +296,7 @@ template<typename Derived> struct ei_operatorNorm_selector<Derived, false>
|
||||
static inline typename NumTraits<typename ei_traits<Derived>::Scalar>::Real
|
||||
operatorNorm(const MatrixBase<Derived>& m)
|
||||
{
|
||||
typename Derived::PlainMatrixType m_eval(m);
|
||||
typename Derived::PlainObject m_eval(m);
|
||||
// FIXME if it is really guaranteed that the eigenvalues are already sorted,
|
||||
// then we don't need to compute a maxCoeff() here, comparing the 1st and last ones is enough.
|
||||
return ei_sqrt(
|
||||
|
@ -213,9 +213,9 @@ struct ei_traits<ei_homogeneous_left_product_impl<Homogeneous<MatrixType,Vertica
|
||||
typedef Matrix<typename ei_traits<MatrixType>::Scalar,
|
||||
Lhs::RowsAtCompileTime,
|
||||
MatrixType::ColsAtCompileTime,
|
||||
MatrixType::PlainMatrixType::Options,
|
||||
MatrixType::PlainObject::Options,
|
||||
Lhs::MaxRowsAtCompileTime,
|
||||
MatrixType::MaxColsAtCompileTime> ReturnMatrixType;
|
||||
MatrixType::MaxColsAtCompileTime> ReturnType;
|
||||
};
|
||||
|
||||
template<typename MatrixType,typename Lhs>
|
||||
@ -251,9 +251,9 @@ struct ei_traits<ei_homogeneous_right_product_impl<Homogeneous<MatrixType,Horizo
|
||||
typedef Matrix<typename ei_traits<MatrixType>::Scalar,
|
||||
MatrixType::RowsAtCompileTime,
|
||||
Rhs::ColsAtCompileTime,
|
||||
MatrixType::PlainMatrixType::Options,
|
||||
MatrixType::PlainObject::Options,
|
||||
MatrixType::MaxRowsAtCompileTime,
|
||||
Rhs::MaxColsAtCompileTime> ReturnMatrixType;
|
||||
Rhs::MaxColsAtCompileTime> ReturnType;
|
||||
};
|
||||
|
||||
template<typename MatrixType,typename Rhs>
|
||||
|
@ -35,7 +35,7 @@
|
||||
*/
|
||||
template<typename Derived>
|
||||
template<typename OtherDerived>
|
||||
inline typename MatrixBase<Derived>::PlainMatrixType
|
||||
inline typename MatrixBase<Derived>::PlainObject
|
||||
MatrixBase<Derived>::cross(const MatrixBase<OtherDerived>& other) const
|
||||
{
|
||||
EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(Derived,3)
|
||||
@ -79,7 +79,7 @@ struct ei_cross3_impl {
|
||||
*/
|
||||
template<typename Derived>
|
||||
template<typename OtherDerived>
|
||||
inline typename MatrixBase<Derived>::PlainMatrixType
|
||||
inline typename MatrixBase<Derived>::PlainObject
|
||||
MatrixBase<Derived>::cross3(const MatrixBase<OtherDerived>& other) const
|
||||
{
|
||||
EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(Derived,4)
|
||||
@ -210,7 +210,7 @@ struct ei_unitOrthogonal_selector<Derived,2>
|
||||
* \sa cross()
|
||||
*/
|
||||
template<typename Derived>
|
||||
typename MatrixBase<Derived>::PlainMatrixType
|
||||
typename MatrixBase<Derived>::PlainObject
|
||||
MatrixBase<Derived>::unitOrthogonal() const
|
||||
{
|
||||
EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
|
||||
|
@ -99,7 +99,7 @@ void MatrixBase<Derived>::applyHouseholderOnTheLeft(
|
||||
const Scalar& tau,
|
||||
Scalar* workspace)
|
||||
{
|
||||
Map<Matrix<Scalar, 1, Base::ColsAtCompileTime, PlainMatrixType::Options, 1, Base::MaxColsAtCompileTime> > tmp(workspace,cols());
|
||||
Map<Matrix<Scalar, 1, Base::ColsAtCompileTime, PlainObject::Options, 1, Base::MaxColsAtCompileTime> > tmp(workspace,cols());
|
||||
Block<Derived, EssentialPart::SizeAtCompileTime, Derived::ColsAtCompileTime> bottom(derived(), 1, 0, rows()-1, cols());
|
||||
tmp.noalias() = essential.adjoint() * bottom;
|
||||
tmp += this->row(0);
|
||||
@ -114,7 +114,7 @@ void MatrixBase<Derived>::applyHouseholderOnTheRight(
|
||||
const Scalar& tau,
|
||||
Scalar* workspace)
|
||||
{
|
||||
Map<Matrix<Scalar, Base::RowsAtCompileTime, 1, PlainMatrixType::Options, Base::MaxRowsAtCompileTime, 1> > tmp(workspace,rows());
|
||||
Map<Matrix<Scalar, Base::RowsAtCompileTime, 1, PlainObject::Options, Base::MaxRowsAtCompileTime, 1> > tmp(workspace,rows());
|
||||
Block<Derived, Derived::RowsAtCompileTime, EssentialPart::SizeAtCompileTime> right(derived(), 0, 1, rows(), cols()-1);
|
||||
tmp.noalias() = right * essential.conjugate();
|
||||
tmp += this->col(0);
|
||||
|
@ -630,7 +630,7 @@ struct ei_solve_retval<FullPivLU<_MatrixType>, Rhs>
|
||||
return;
|
||||
}
|
||||
|
||||
typename Rhs::PlainMatrixType c(rhs().rows(), rhs().cols());
|
||||
typename Rhs::PlainObject c(rhs().rows(), rhs().cols());
|
||||
|
||||
// Step 1
|
||||
c = dec().permutationP() * rhs();
|
||||
@ -670,10 +670,10 @@ struct ei_solve_retval<FullPivLU<_MatrixType>, Rhs>
|
||||
* \sa class FullPivLU
|
||||
*/
|
||||
template<typename Derived>
|
||||
inline const FullPivLU<typename MatrixBase<Derived>::PlainMatrixType>
|
||||
inline const FullPivLU<typename MatrixBase<Derived>::PlainObject>
|
||||
MatrixBase<Derived>::fullPivLu() const
|
||||
{
|
||||
return FullPivLU<PlainMatrixType>(eval());
|
||||
return FullPivLU<PlainObject>(eval());
|
||||
}
|
||||
|
||||
#endif // EIGEN_LU_H
|
||||
|
@ -238,7 +238,7 @@ struct ei_compute_inverse_and_det_with_check<MatrixType, ResultType, 4>
|
||||
template<typename MatrixType>
|
||||
struct ei_traits<ei_inverse_impl<MatrixType> >
|
||||
{
|
||||
typedef typename MatrixType::PlainMatrixType ReturnMatrixType;
|
||||
typedef typename MatrixType::PlainObject ReturnType;
|
||||
};
|
||||
|
||||
template<typename MatrixType>
|
||||
@ -327,7 +327,7 @@ inline void MatrixBase<Derived>::computeInverseAndDetWithCheck(
|
||||
typedef typename ei_meta_if<
|
||||
RowsAtCompileTime == 2,
|
||||
typename ei_cleantype<typename ei_nested<Derived, 2>::type>::type,
|
||||
PlainMatrixType
|
||||
PlainObject
|
||||
>::ret MatrixType;
|
||||
ei_compute_inverse_and_det_with_check<MatrixType, ResultType>::run
|
||||
(derived(), absDeterminantThreshold, inverse, determinant, invertible);
|
||||
|
@ -442,10 +442,10 @@ struct ei_solve_retval<PartialPivLU<_MatrixType>, Rhs>
|
||||
* \sa class PartialPivLU
|
||||
*/
|
||||
template<typename Derived>
|
||||
inline const PartialPivLU<typename MatrixBase<Derived>::PlainMatrixType>
|
||||
inline const PartialPivLU<typename MatrixBase<Derived>::PlainObject>
|
||||
MatrixBase<Derived>::partialPivLu() const
|
||||
{
|
||||
return PartialPivLU<PlainMatrixType>(eval());
|
||||
return PartialPivLU<PlainObject>(eval());
|
||||
}
|
||||
|
||||
/** \lu_module
|
||||
@ -457,10 +457,10 @@ MatrixBase<Derived>::partialPivLu() const
|
||||
* \sa class PartialPivLU
|
||||
*/
|
||||
template<typename Derived>
|
||||
inline const PartialPivLU<typename MatrixBase<Derived>::PlainMatrixType>
|
||||
inline const PartialPivLU<typename MatrixBase<Derived>::PlainObject>
|
||||
MatrixBase<Derived>::lu() const
|
||||
{
|
||||
return PartialPivLU<PlainMatrixType>(eval());
|
||||
return PartialPivLU<PlainObject>(eval());
|
||||
}
|
||||
|
||||
#endif // EIGEN_PARTIALLU_H
|
||||
|
@ -441,7 +441,7 @@ struct ei_solve_retval<ColPivHouseholderQR<_MatrixType>, Rhs>
|
||||
return;
|
||||
}
|
||||
|
||||
typename Rhs::PlainMatrixType c(rhs());
|
||||
typename Rhs::PlainObject c(rhs());
|
||||
|
||||
// Note that the matrix Q = H_0^* H_1^*... so its inverse is Q^* = (H_0 H_1 ...)^T
|
||||
c.applyOnTheLeft(householderSequence(
|
||||
@ -458,7 +458,7 @@ struct ei_solve_retval<ColPivHouseholderQR<_MatrixType>, Rhs>
|
||||
.solveInPlace(c.corner(TopLeft, nonzero_pivots, c.cols()));
|
||||
|
||||
|
||||
typename Rhs::PlainMatrixType d(c);
|
||||
typename Rhs::PlainObject d(c);
|
||||
d.corner(TopLeft, nonzero_pivots, c.cols())
|
||||
= dec().matrixQR()
|
||||
.corner(TopLeft, nonzero_pivots, nonzero_pivots)
|
||||
@ -486,10 +486,10 @@ typename ColPivHouseholderQR<MatrixType>::HouseholderSequenceType ColPivHousehol
|
||||
* \sa class ColPivHouseholderQR
|
||||
*/
|
||||
template<typename Derived>
|
||||
const ColPivHouseholderQR<typename MatrixBase<Derived>::PlainMatrixType>
|
||||
const ColPivHouseholderQR<typename MatrixBase<Derived>::PlainObject>
|
||||
MatrixBase<Derived>::colPivHouseholderQr() const
|
||||
{
|
||||
return ColPivHouseholderQR<PlainMatrixType>(eval());
|
||||
return ColPivHouseholderQR<PlainObject>(eval());
|
||||
}
|
||||
|
||||
|
||||
|
@ -352,7 +352,7 @@ struct ei_solve_retval<FullPivHouseholderQR<_MatrixType>, Rhs>
|
||||
return;
|
||||
}
|
||||
|
||||
typename Rhs::PlainMatrixType c(rhs());
|
||||
typename Rhs::PlainObject c(rhs());
|
||||
|
||||
Matrix<Scalar,1,Rhs::ColsAtCompileTime> temp(rhs().cols());
|
||||
for (int k = 0; k < dec().rank(); ++k)
|
||||
@ -413,10 +413,10 @@ typename FullPivHouseholderQR<MatrixType>::MatrixQType FullPivHouseholderQR<Matr
|
||||
* \sa class FullPivHouseholderQR
|
||||
*/
|
||||
template<typename Derived>
|
||||
const FullPivHouseholderQR<typename MatrixBase<Derived>::PlainMatrixType>
|
||||
const FullPivHouseholderQR<typename MatrixBase<Derived>::PlainObject>
|
||||
MatrixBase<Derived>::fullPivHouseholderQr() const
|
||||
{
|
||||
return FullPivHouseholderQR<PlainMatrixType>(eval());
|
||||
return FullPivHouseholderQR<PlainObject>(eval());
|
||||
}
|
||||
|
||||
#endif // EIGEN_FULLPIVOTINGHOUSEHOLDERQR_H
|
||||
|
@ -221,7 +221,7 @@ struct ei_solve_retval<HouseholderQR<_MatrixType>, Rhs>
|
||||
const int rank = std::min(rows, cols);
|
||||
ei_assert(rhs().rows() == rows);
|
||||
|
||||
typename Rhs::PlainMatrixType c(rhs());
|
||||
typename Rhs::PlainObject c(rhs());
|
||||
|
||||
// Note that the matrix Q = H_0^* H_1^*... so its inverse is Q^* = (H_0 H_1 ...)^T
|
||||
c.applyOnTheLeft(householderSequence(
|
||||
@ -246,10 +246,10 @@ struct ei_solve_retval<HouseholderQR<_MatrixType>, Rhs>
|
||||
* \sa class HouseholderQR
|
||||
*/
|
||||
template<typename Derived>
|
||||
const HouseholderQR<typename MatrixBase<Derived>::PlainMatrixType>
|
||||
const HouseholderQR<typename MatrixBase<Derived>::PlainObject>
|
||||
MatrixBase<Derived>::householderQr() const
|
||||
{
|
||||
return HouseholderQR<PlainMatrixType>(eval());
|
||||
return HouseholderQR<PlainObject>(eval());
|
||||
}
|
||||
|
||||
|
||||
|
@ -555,10 +555,10 @@ void SVD<MatrixType>::computeScalingRotation(ScalingType *scaling, RotationType
|
||||
* \returns the SVD decomposition of \c *this
|
||||
*/
|
||||
template<typename Derived>
|
||||
inline SVD<typename MatrixBase<Derived>::PlainMatrixType>
|
||||
inline SVD<typename MatrixBase<Derived>::PlainObject>
|
||||
MatrixBase<Derived>::svd() const
|
||||
{
|
||||
return SVD<PlainMatrixType>(derived());
|
||||
return SVD<PlainObject>(derived());
|
||||
}
|
||||
|
||||
#endif // EIGEN_SVD_H
|
||||
|
@ -141,10 +141,10 @@ UpperBidiagonalization<_MatrixType>& UpperBidiagonalization<_MatrixType>::comput
|
||||
* \sa class Bidiagonalization
|
||||
*/
|
||||
template<typename Derived>
|
||||
const UpperBidiagonalization<typename MatrixBase<Derived>::PlainMatrixType>
|
||||
const UpperBidiagonalization<typename MatrixBase<Derived>::PlainObject>
|
||||
MatrixBase<Derived>::bidiagonalization() const
|
||||
{
|
||||
return UpperBidiagonalization<PlainMatrixType>(eval());
|
||||
return UpperBidiagonalization<PlainObject>(eval());
|
||||
}
|
||||
#endif
|
||||
|
||||
|
@ -109,7 +109,7 @@ template<typename Derived> class SparseMatrixBase : public EigenBase<Derived>
|
||||
Transpose<Derived>
|
||||
>::ret AdjointReturnType;
|
||||
|
||||
typedef SparseMatrix<Scalar, Flags&RowMajorBit ? RowMajor : ColMajor> PlainMatrixType;
|
||||
typedef SparseMatrix<Scalar, Flags&RowMajorBit ? RowMajor : ColMajor> PlainObject;
|
||||
|
||||
#define EIGEN_CURRENT_STORAGE_BASE_CLASS Eigen::SparseMatrixBase
|
||||
#include "../plugins/CommonCwiseUnaryOps.h"
|
||||
@ -396,7 +396,7 @@ template<typename Derived> class SparseMatrixBase : public EigenBase<Derived>
|
||||
template<typename OtherDerived> Scalar dot(const SparseMatrixBase<OtherDerived>& other) const;
|
||||
RealScalar squaredNorm() const;
|
||||
RealScalar norm() const;
|
||||
// const PlainMatrixType normalized() const;
|
||||
// const PlainObject normalized() const;
|
||||
// void normalize();
|
||||
|
||||
Transpose<Derived> transpose() { return derived(); }
|
||||
|
@ -93,8 +93,8 @@ template<typename MatrixType, unsigned int UpLo> class SparseSelfAdjointView
|
||||
template<typename DerivedU>
|
||||
SparseSelfAdjointView& rankUpdate(const MatrixBase<DerivedU>& u, Scalar alpha = Scalar(1));
|
||||
|
||||
// const SparseLLT<PlainMatrixType, UpLo> llt() const;
|
||||
// const SparseLDLT<PlainMatrixType, UpLo> ldlt() const;
|
||||
// const SparseLLT<PlainObject, UpLo> llt() const;
|
||||
// const SparseLDLT<PlainObject, UpLo> ldlt() const;
|
||||
|
||||
protected:
|
||||
|
||||
|
@ -40,7 +40,7 @@ struct ei_traits<ei_image_retval_base<DecompositionType> >
|
||||
MatrixType::Options,
|
||||
MatrixType::MaxRowsAtCompileTime, // the image matrix will consist of columns from the original matrix,
|
||||
MatrixType::MaxColsAtCompileTime // so it has the same number of rows and at most as many columns.
|
||||
> ReturnMatrixType;
|
||||
> ReturnType;
|
||||
};
|
||||
|
||||
template<typename _DecompositionType> struct ei_image_retval_base
|
||||
|
@ -42,7 +42,7 @@ struct ei_traits<ei_kernel_retval_base<DecompositionType> >
|
||||
MatrixType::MaxColsAtCompileTime, // see explanation for 2nd template parameter
|
||||
MatrixType::MaxColsAtCompileTime // the kernel is a subspace of the domain space,
|
||||
// whose dimension is the number of columns of the original matrix
|
||||
> ReturnMatrixType;
|
||||
> ReturnType;
|
||||
};
|
||||
|
||||
template<typename _DecompositionType> struct ei_kernel_retval_base
|
||||
|
@ -35,9 +35,9 @@ struct ei_traits<ei_solve_retval_base<DecompositionType, Rhs> >
|
||||
typedef Matrix<typename Rhs::Scalar,
|
||||
MatrixType::ColsAtCompileTime,
|
||||
Rhs::ColsAtCompileTime,
|
||||
Rhs::PlainMatrixType::Options,
|
||||
Rhs::PlainObject::Options,
|
||||
MatrixType::MaxColsAtCompileTime,
|
||||
Rhs::MaxColsAtCompileTime> ReturnMatrixType;
|
||||
Rhs::MaxColsAtCompileTime> ReturnType;
|
||||
};
|
||||
|
||||
template<typename _DecompositionType, typename Rhs> struct ei_solve_retval_base
|
||||
|
@ -62,7 +62,7 @@ class BandMatrix : public MultiplierBase<BandMatrix<_Scalar,Supers,Subs,Options>
|
||||
MaxColsAtCompileTime = ei_traits<BandMatrix>::MaxColsAtCompileTime
|
||||
};
|
||||
typedef typename ei_traits<BandMatrix>::Scalar Scalar;
|
||||
typedef Matrix<Scalar,RowsAtCompileTime,ColsAtCompileTime> PlainMatrixType;
|
||||
typedef Matrix<Scalar,RowsAtCompileTime,ColsAtCompileTime> PlainObject;
|
||||
|
||||
protected:
|
||||
enum {
|
||||
@ -125,9 +125,9 @@ class BandMatrix : public MultiplierBase<BandMatrix<_Scalar,Supers,Subs,Options>
|
||||
// inline VectorBlock<DataType,Size> subDiagonal()
|
||||
// { return VectorBlock<DataType,Size>(m_data,0,m_size.value()); }
|
||||
|
||||
PlainMatrixType toDense() const
|
||||
PlainObject toDense() const
|
||||
{
|
||||
PlainMatrixType res(rows(),cols());
|
||||
PlainObject res(rows(),cols());
|
||||
res.setZero();
|
||||
res.diagonal() = diagonal();
|
||||
for (int i=1; i<=supers();++i)
|
||||
|
@ -51,8 +51,8 @@ template<typename MatrixType> void lu_non_invertible()
|
||||
cols2 = cols = MatrixType::ColsAtCompileTime;
|
||||
}
|
||||
|
||||
typedef typename ei_kernel_retval_base<FullPivLU<MatrixType> >::ReturnMatrixType KernelMatrixType;
|
||||
typedef typename ei_image_retval_base<FullPivLU<MatrixType> >::ReturnMatrixType ImageMatrixType;
|
||||
typedef typename ei_kernel_retval_base<FullPivLU<MatrixType> >::ReturnType KernelMatrixType;
|
||||
typedef typename ei_image_retval_base<FullPivLU<MatrixType> >::ReturnType ImageMatrixType;
|
||||
typedef Matrix<typename MatrixType::Scalar, Dynamic, Dynamic> DynamicMatrixType;
|
||||
typedef Matrix<typename MatrixType::Scalar, MatrixType::ColsAtCompileTime, MatrixType::ColsAtCompileTime>
|
||||
CMatrixType;
|
||||
|
@ -313,7 +313,7 @@ template<typename Derived> struct MatrixExponentialReturnValue
|
||||
inline void evalTo(ResultType& result) const
|
||||
{
|
||||
const typename ei_eval<Derived>::type srcEvaluated = m_src.eval();
|
||||
MatrixExponential<typename Derived::PlainMatrixType> me(srcEvaluated);
|
||||
MatrixExponential<typename Derived::PlainObject> me(srcEvaluated);
|
||||
me.compute(result);
|
||||
}
|
||||
|
||||
@ -327,7 +327,7 @@ template<typename Derived> struct MatrixExponentialReturnValue
|
||||
template<typename Derived>
|
||||
struct ei_traits<MatrixExponentialReturnValue<Derived> >
|
||||
{
|
||||
typedef typename Derived::PlainMatrixType ReturnMatrixType;
|
||||
typedef typename Derived::PlainObject ReturnType;
|
||||
};
|
||||
|
||||
/** \ingroup MatrixFunctions_Module
|
||||
|
@ -516,7 +516,7 @@ template<typename Derived> class MatrixFunctionReturnValue
|
||||
inline void evalTo(ResultType& result) const
|
||||
{
|
||||
const typename ei_eval<Derived>::type Aevaluated = m_A.eval();
|
||||
MatrixFunction<typename Derived::PlainMatrixType> mf(Aevaluated, m_f);
|
||||
MatrixFunction<typename Derived::PlainObject> mf(Aevaluated, m_f);
|
||||
mf.compute(result);
|
||||
}
|
||||
|
||||
@ -531,7 +531,7 @@ template<typename Derived> class MatrixFunctionReturnValue
|
||||
template<typename Derived>
|
||||
struct ei_traits<MatrixFunctionReturnValue<Derived> >
|
||||
{
|
||||
typedef typename Derived::PlainMatrixType ReturnMatrixType;
|
||||
typedef typename Derived::PlainObject ReturnType;
|
||||
};
|
||||
|
||||
|
||||
|
Loading…
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Reference in New Issue
Block a user