EIC code displayed by LXR master/​include/​eigen3/​Eigen/​src/​Core/​Matrix.h	Source navigation Diff markup Identifier search General search
	Version: master test Revert   Change

File indexing completed on 2025-01-18 09:56:15

 // This file is part of Eigen, a lightweight C++ template library
 // for linear algebra.
 //
 // Copyright (C) 2006-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
 // Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
 //
 // This Source Code Form is subject to the terms of the Mozilla
 // Public License v. 2.0. If a copy of the MPL was not distributed
 // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
 
 #ifndef EIGEN_MATRIX_H
 #define EIGEN_MATRIX_H
 
 namespace Eigen {
 
 namespace internal {
 template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
 struct traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
 {
 private:
   enum { size = internal::size_at_compile_time<_Rows,_Cols>::ret };
   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
   enum {
       row_major_bit = _Options&RowMajor ? RowMajorBit : 0,
       is_dynamic_size_storage = _MaxRows==Dynamic || _MaxCols==Dynamic,
       max_size = is_dynamic_size_storage ? Dynamic : _MaxRows*_MaxCols,
       default_alignment = compute_default_alignment<_Scalar,max_size>::value,
       actual_alignment = ((_Options&DontAlign)==0) ? default_alignment : 0,
       required_alignment = unpacket_traits<PacketScalar>::alignment,
       packet_access_bit = (packet_traits<_Scalar>::Vectorizable && (EIGEN_UNALIGNED_VECTORIZE || (actual_alignment>=required_alignment))) ? PacketAccessBit : 0
     };
 
 public:
   typedef _Scalar Scalar;
   typedef Dense StorageKind;
   typedef Eigen::Index StorageIndex;
   typedef MatrixXpr XprKind;
   enum {
     RowsAtCompileTime = _Rows,
     ColsAtCompileTime = _Cols,
     MaxRowsAtCompileTime = _MaxRows,
     MaxColsAtCompileTime = _MaxCols,
     Flags = compute_matrix_flags<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::ret,
     Options = _Options,
     InnerStrideAtCompileTime = 1,
     OuterStrideAtCompileTime = (Options&RowMajor) ? ColsAtCompileTime : RowsAtCompileTime,
 
     // FIXME, the following flag in only used to define NeedsToAlign in PlainObjectBase
     EvaluatorFlags = LinearAccessBit | DirectAccessBit | packet_access_bit | row_major_bit,
     Alignment = actual_alignment
   };
 };
 }
 
 /** \class Matrix
   * \ingroup Core_Module
   *
   * \brief The matrix class, also used for vectors and row-vectors
   *
   * The %Matrix class is the work-horse for all \em dense (\ref dense "note") matrices and vectors within Eigen.
   * Vectors are matrices with one column, and row-vectors are matrices with one row.
   *
   * The %Matrix class encompasses \em both fixed-size and dynamic-size objects (\ref fixedsize "note").
   *
   * The first three template parameters are required:
   * \tparam _Scalar Numeric type, e.g. float, double, int or std::complex<float>.
   *                 User defined scalar types are supported as well (see \ref user_defined_scalars "here").
   * \tparam _Rows Number of rows, or \b Dynamic
   * \tparam _Cols Number of columns, or \b Dynamic
   *
   * The remaining template parameters are optional -- in most cases you don't have to worry about them.
   * \tparam _Options A combination of either \b #RowMajor or \b #ColMajor, and of either
   *                 \b #AutoAlign or \b #DontAlign.
   *                 The former controls \ref TopicStorageOrders "storage order", and defaults to column-major. The latter controls alignment, which is required
   *                 for vectorization. It defaults to aligning matrices except for fixed sizes that aren't a multiple of the packet size.
   * \tparam _MaxRows Maximum number of rows. Defaults to \a _Rows (\ref maxrows "note").
   * \tparam _MaxCols Maximum number of columns. Defaults to \a _Cols (\ref maxrows "note").
   *
   * Eigen provides a number of typedefs covering the usual cases. Here are some examples:
   *
   * \li \c Matrix2d is a 2x2 square matrix of doubles (\c Matrix<double, 2, 2>)
   * \li \c Vector4f is a vector of 4 floats (\c Matrix<float, 4, 1>)
   * \li \c RowVector3i is a row-vector of 3 ints (\c Matrix<int, 1, 3>)
   *
   * \li \c MatrixXf is a dynamic-size matrix of floats (\c Matrix<float, Dynamic, Dynamic>)
   * \li \c VectorXf is a dynamic-size vector of floats (\c Matrix<float, Dynamic, 1>)
   *
   * \li \c Matrix2Xf is a partially fixed-size (dynamic-size) matrix of floats (\c Matrix<float, 2, Dynamic>)
   * \li \c MatrixX3d is a partially dynamic-size (fixed-size) matrix of double (\c Matrix<double, Dynamic, 3>)
   *
   * See \link matrixtypedefs this page \endlink for a complete list of predefined \em %Matrix and \em Vector typedefs.
   *
   * You can access elements of vectors and matrices using normal subscripting:
   *
   * \code
   * Eigen::VectorXd v(10);
   * v[0] = 0.1;
   * v[1] = 0.2;
   * v(0) = 0.3;
   * v(1) = 0.4;
   *
   * Eigen::MatrixXi m(10, 10);
   * m(0, 1) = 1;
   * m(0, 2) = 2;
   * m(0, 3) = 3;
   * \endcode
   *
   * This class can be extended with the help of the plugin mechanism described on the page
   * \ref TopicCustomizing_Plugins by defining the preprocessor symbol \c EIGEN_MATRIX_PLUGIN.
   *
   * <i><b>Some notes:</b></i>
   *
   * <dl>
   * <dt><b>\anchor dense Dense versus sparse:</b></dt>
   * <dd>This %Matrix class handles dense, not sparse matrices and vectors. For sparse matrices and vectors, see the Sparse module.
   *
   * Dense matrices and vectors are plain usual arrays of coefficients. All the coefficients are stored, in an ordinary contiguous array.
   * This is unlike Sparse matrices and vectors where the coefficients are stored as a list of nonzero coefficients.</dd>
   *
   * <dt><b>\anchor fixedsize Fixed-size versus dynamic-size:</b></dt>
   * <dd>Fixed-size means that the numbers of rows and columns are known are compile-time. In this case, Eigen allocates the array
   * of coefficients as a fixed-size array, as a class member. This makes sense for very small matrices, typically up to 4x4, sometimes up
   * to 16x16. Larger matrices should be declared as dynamic-size even if one happens to know their size at compile-time.
   *
   * Dynamic-size means that the numbers of rows or columns are not necessarily known at compile-time. In this case they are runtime
   * variables, and the array of coefficients is allocated dynamically on the heap.
   *
   * Note that \em dense matrices, be they Fixed-size or Dynamic-size, <em>do not</em> expand dynamically in the sense of a std::map.
   * If you want this behavior, see the Sparse module.</dd>
   *
   * <dt><b>\anchor maxrows _MaxRows and _MaxCols:</b></dt>
   * <dd>In most cases, one just leaves these parameters to the default values.
   * These parameters mean the maximum size of rows and columns that the matrix may have. They are useful in cases
   * when the exact numbers of rows and columns are not known are compile-time, but it is known at compile-time that they cannot
   * exceed a certain value. This happens when taking dynamic-size blocks inside fixed-size matrices: in this case _MaxRows and _MaxCols
   * are the dimensions of the original matrix, while _Rows and _Cols are Dynamic.</dd>
   * </dl>
   *
   * <i><b>ABI and storage layout</b></i>
   *
   * The table below summarizes the ABI of some possible Matrix instances which is fixed thorough the lifetime of Eigen 3.
   * <table  class="manual">
   * <tr><th>Matrix type</th><th>Equivalent C structure</th></tr>
   * <tr><td>\code Matrix<T,Dynamic,Dynamic> \endcode</td><td>\code
   * struct {
   *   T *data;                  // with (size_t(data)%EIGEN_MAX_ALIGN_BYTES)==0
   *   Eigen::Index rows, cols;
   *  };
   * \endcode</td></tr>
   * <tr class="alt"><td>\code
   * Matrix<T,Dynamic,1>
   * Matrix<T,1,Dynamic> \endcode</td><td>\code
   * struct {
   *   T *data;                  // with (size_t(data)%EIGEN_MAX_ALIGN_BYTES)==0
   *   Eigen::Index size;
   *  };
   * \endcode</td></tr>
   * <tr><td>\code Matrix<T,Rows,Cols> \endcode</td><td>\code
   * struct {
   *   T data[Rows*Cols];        // with (size_t(data)%A(Rows*Cols*sizeof(T)))==0
   *  };
   * \endcode</td></tr>
   * <tr class="alt"><td>\code Matrix<T,Dynamic,Dynamic,0,MaxRows,MaxCols> \endcode</td><td>\code
   * struct {
   *   T data[MaxRows*MaxCols];  // with (size_t(data)%A(MaxRows*MaxCols*sizeof(T)))==0
   *   Eigen::Index rows, cols;
   *  };
   * \endcode</td></tr>
   * </table>
   * Note that in this table Rows, Cols, MaxRows and MaxCols are all positive integers. A(S) is defined to the largest possible power-of-two
   * smaller to EIGEN_MAX_STATIC_ALIGN_BYTES.
   *
   * \see MatrixBase for the majority of the API methods for matrices, \ref TopicClassHierarchy,
   * \ref TopicStorageOrders
   */
 
 template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
 class Matrix
   : public PlainObjectBase<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
 {
   public:
 
     /** \brief Base class typedef.
       * \sa PlainObjectBase
       */
     typedef PlainObjectBase<Matrix> Base;
 
     enum { Options = _Options };
 
     EIGEN_DENSE_PUBLIC_INTERFACE(Matrix)
 
     typedef typename Base::PlainObject PlainObject;
 
     using Base::base;
     using Base::coeffRef;
 
     /**
       * \brief Assigns matrices to each other.
       *
       * \note This is a special case of the templated operator=. Its purpose is
       * to prevent a default operator= from hiding the templated operator=.
       *
       * \callgraph
       */
     EIGEN_DEVICE_FUNC
     EIGEN_STRONG_INLINE Matrix& operator=(const Matrix& other)
     {
       return Base::_set(other);
     }
 
     /** \internal
       * \brief Copies the value of the expression \a other into \c *this with automatic resizing.
       *
       * *this might be resized to match the dimensions of \a other. If *this was a null matrix (not already initialized),
       * it will be initialized.
       *
       * Note that copying a row-vector into a vector (and conversely) is allowed.
       * The resizing, if any, is then done in the appropriate way so that row-vectors
       * remain row-vectors and vectors remain vectors.
       */
     template<typename OtherDerived>
     EIGEN_DEVICE_FUNC
     EIGEN_STRONG_INLINE Matrix& operator=(const DenseBase<OtherDerived>& other)
     {
       return Base::_set(other);
     }
 
     /* Here, doxygen failed to copy the brief information when using \copydoc */
 
     /**
       * \brief Copies the generic expression \a other into *this.
       * \copydetails DenseBase::operator=(const EigenBase<OtherDerived> &other)
       */
     template<typename OtherDerived>
     EIGEN_DEVICE_FUNC
     EIGEN_STRONG_INLINE Matrix& operator=(const EigenBase<OtherDerived> &other)
     {
       return Base::operator=(other);
     }
 
     template<typename OtherDerived>
     EIGEN_DEVICE_FUNC
     EIGEN_STRONG_INLINE Matrix& operator=(const ReturnByValue<OtherDerived>& func)
     {
       return Base::operator=(func);
     }
 
     /** \brief Default constructor.
       *
       * For fixed-size matrices, does nothing.
       *
       * For dynamic-size matrices, creates an empty matrix of size 0. Does not allocate any array. Such a matrix
       * is called a null matrix. This constructor is the unique way to create null matrices: resizing
       * a matrix to 0 is not supported.
       *
       * \sa resize(Index,Index)
       */
     EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
     Matrix() : Base()
     {
       Base::_check_template_params();
       EIGEN_INITIALIZE_COEFFS_IF_THAT_OPTION_IS_ENABLED
     }
 
     // FIXME is it still needed
     EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
     explicit Matrix(internal::constructor_without_unaligned_array_assert)
       : Base(internal::constructor_without_unaligned_array_assert())
     { Base::_check_template_params(); EIGEN_INITIALIZE_COEFFS_IF_THAT_OPTION_IS_ENABLED }
 
 #if EIGEN_HAS_RVALUE_REFERENCES
     EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
     Matrix(Matrix&& other) EIGEN_NOEXCEPT_IF(std::is_nothrow_move_constructible<Scalar>::value)
       : Base(std::move(other))
     {
       Base::_check_template_params();
     }
     EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
     Matrix& operator=(Matrix&& other) EIGEN_NOEXCEPT_IF(std::is_nothrow_move_assignable<Scalar>::value)
     {
       Base::operator=(std::move(other));
       return *this;
     }
 #endif
 
 #if EIGEN_HAS_CXX11
     /** \copydoc PlainObjectBase(const Scalar&, const Scalar&, const Scalar&,  const Scalar&, const ArgTypes&... args)
      *
      * Example: \include Matrix_variadic_ctor_cxx11.cpp
      * Output: \verbinclude Matrix_variadic_ctor_cxx11.out
      *
      * \sa Matrix(const std::initializer_list<std::initializer_list<Scalar>>&)
      */
     template <typename... ArgTypes>
     EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
     Matrix(const Scalar& a0, const Scalar& a1, const Scalar& a2,  const Scalar& a3, const ArgTypes&... args)
       : Base(a0, a1, a2, a3, args...) {}
 
     /** \brief Constructs a Matrix and initializes it from the coefficients given as initializer-lists grouped by row. \cpp11
       *
       * In the general case, the constructor takes a list of rows, each row being represented as a list of coefficients:
       *
       * Example: \include Matrix_initializer_list_23_cxx11.cpp
       * Output: \verbinclude Matrix_initializer_list_23_cxx11.out
       *
       * Each of the inner initializer lists must contain the exact same number of elements, otherwise an assertion is triggered.
       *
       * In the case of a compile-time column vector, implicit transposition from a single row is allowed.
       * Therefore <code>VectorXd{{1,2,3,4,5}}</code> is legal and the more verbose syntax
       * <code>RowVectorXd{{1},{2},{3},{4},{5}}</code> can be avoided:
       *
       * Example: \include Matrix_initializer_list_vector_cxx11.cpp
       * Output: \verbinclude Matrix_initializer_list_vector_cxx11.out
       *
       * In the case of fixed-sized matrices, the initializer list sizes must exactly match the matrix sizes,
       * and implicit transposition is allowed for compile-time vectors only.
       *
       * \sa Matrix(const Scalar& a0, const Scalar& a1, const Scalar& a2,  const Scalar& a3, const ArgTypes&... args)
       */
     EIGEN_DEVICE_FUNC
     explicit EIGEN_STRONG_INLINE Matrix(const std::initializer_list<std::initializer_list<Scalar>>& list) : Base(list) {}
 #endif // end EIGEN_HAS_CXX11
 
 #ifndef EIGEN_PARSED_BY_DOXYGEN
 
     // This constructor is for both 1x1 matrices and dynamic vectors
     template<typename T>
     EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
     explicit Matrix(const T& x)
     {
       Base::_check_template_params();
       Base::template _init1<T>(x);
     }
 
     template<typename T0, typename T1>
     EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
     Matrix(const T0& x, const T1& y)
     {
       Base::_check_template_params();
       Base::template _init2<T0,T1>(x, y);
     }
 
 
 #else
     /** \brief Constructs a fixed-sized matrix initialized with coefficients starting at \a data */
     EIGEN_DEVICE_FUNC
     explicit Matrix(const Scalar *data);
 
     /** \brief Constructs a vector or row-vector with given dimension. \only_for_vectors
       *
       * This is useful for dynamic-size vectors. For fixed-size vectors,
       * it is redundant to pass these parameters, so one should use the default constructor
       * Matrix() instead.
       *
       * \warning This constructor is disabled for fixed-size \c 1x1 matrices. For instance,
       * calling Matrix<double,1,1>(1) will call the initialization constructor: Matrix(const Scalar&).
       * For fixed-size \c 1x1 matrices it is therefore recommended to use the default
       * constructor Matrix() instead, especially when using one of the non standard
       * \c EIGEN_INITIALIZE_MATRICES_BY_{ZERO,\c NAN} macros (see \ref TopicPreprocessorDirectives).
       */
     EIGEN_STRONG_INLINE explicit Matrix(Index dim);
     /** \brief Constructs an initialized 1x1 matrix with the given coefficient
       * \sa Matrix(const Scalar&, const Scalar&, const Scalar&,  const Scalar&, const ArgTypes&...) */
     Matrix(const Scalar& x);
     /** \brief Constructs an uninitialized matrix with \a rows rows and \a cols columns.
       *
       * This is useful for dynamic-size matrices. For fixed-size matrices,
       * it is redundant to pass these parameters, so one should use the default constructor
       * Matrix() instead.
       *
       * \warning This constructor is disabled for fixed-size \c 1x2 and \c 2x1 vectors. For instance,
       * calling Matrix2f(2,1) will call the initialization constructor: Matrix(const Scalar& x, const Scalar& y).
       * For fixed-size \c 1x2 or \c 2x1 vectors it is therefore recommended to use the default
       * constructor Matrix() instead, especially when using one of the non standard
       * \c EIGEN_INITIALIZE_MATRICES_BY_{ZERO,\c NAN} macros (see \ref TopicPreprocessorDirectives).
       */
     EIGEN_DEVICE_FUNC
     Matrix(Index rows, Index cols);
 
     /** \brief Constructs an initialized 2D vector with given coefficients
       * \sa Matrix(const Scalar&, const Scalar&, const Scalar&,  const Scalar&, const ArgTypes&...) */
     Matrix(const Scalar& x, const Scalar& y);
     #endif  // end EIGEN_PARSED_BY_DOXYGEN
 
     /** \brief Constructs an initialized 3D vector with given coefficients
       * \sa Matrix(const Scalar&, const Scalar&, const Scalar&,  const Scalar&, const ArgTypes&...)
       */
     EIGEN_DEVICE_FUNC
     EIGEN_STRONG_INLINE Matrix(const Scalar& x, const Scalar& y, const Scalar& z)
     {
       Base::_check_template_params();
       EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(Matrix, 3)
       m_storage.data()[0] = x;
       m_storage.data()[1] = y;
       m_storage.data()[2] = z;
     }
     /** \brief Constructs an initialized 4D vector with given coefficients
       * \sa Matrix(const Scalar&, const Scalar&, const Scalar&,  const Scalar&, const ArgTypes&...)
       */
     EIGEN_DEVICE_FUNC
     EIGEN_STRONG_INLINE Matrix(const Scalar& x, const Scalar& y, const Scalar& z, const Scalar& w)
     {
       Base::_check_template_params();
       EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(Matrix, 4)
       m_storage.data()[0] = x;
       m_storage.data()[1] = y;
       m_storage.data()[2] = z;
       m_storage.data()[3] = w;
     }
 
 
     /** \brief Copy constructor */
     EIGEN_DEVICE_FUNC
     EIGEN_STRONG_INLINE Matrix(const Matrix& other) : Base(other)
     { }
 
     /** \brief Copy constructor for generic expressions.
       * \sa MatrixBase::operator=(const EigenBase<OtherDerived>&)
       */
     template<typename OtherDerived>
     EIGEN_DEVICE_FUNC
     EIGEN_STRONG_INLINE Matrix(const EigenBase<OtherDerived> &other)
       : Base(other.derived())
     { }
 
     EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR
     inline Index innerStride() const EIGEN_NOEXCEPT { return 1; }
     EIGEN_DEVICE_FUNC EIGEN_CONSTEXPR
     inline Index outerStride() const EIGEN_NOEXCEPT { return this->innerSize(); }
 
     /////////// Geometry module ///////////
 
     template<typename OtherDerived>
     EIGEN_DEVICE_FUNC
     explicit Matrix(const RotationBase<OtherDerived,ColsAtCompileTime>& r);
     template<typename OtherDerived>
     EIGEN_DEVICE_FUNC
     Matrix& operator=(const RotationBase<OtherDerived,ColsAtCompileTime>& r);
 
     // allow to extend Matrix outside Eigen
     #ifdef EIGEN_MATRIX_PLUGIN
     #include EIGEN_MATRIX_PLUGIN
     #endif
 
   protected:
     template <typename Derived, typename OtherDerived, bool IsVector>
     friend struct internal::conservative_resize_like_impl;
 
     using Base::m_storage;
 };
 
 /** \defgroup matrixtypedefs Global matrix typedefs
   *
   * \ingroup Core_Module
   *
   * %Eigen defines several typedef shortcuts for most common matrix and vector types.
   *
   * The general patterns are the following:
   *
   * \c MatrixSizeType where \c Size can be \c 2,\c 3,\c 4 for fixed size square matrices or \c X for dynamic size,
   * and where \c Type can be \c i for integer, \c f for float, \c d for double, \c cf for complex float, \c cd
   * for complex double.
   *
   * For example, \c Matrix3d is a fixed-size 3x3 matrix type of doubles, and \c MatrixXf is a dynamic-size matrix of floats.
   *
   * There are also \c VectorSizeType and \c RowVectorSizeType which are self-explanatory. For example, \c Vector4cf is
   * a fixed-size vector of 4 complex floats.
   *
   * With \cpp11, template alias are also defined for common sizes.
   * They follow the same pattern as above except that the scalar type suffix is replaced by a
   * template parameter, i.e.:
   *   - `MatrixSize<Type>` where `Size` can be \c 2,\c 3,\c 4 for fixed size square matrices or \c X for dynamic size.
   *   - `MatrixXSize<Type>` and `MatrixSizeX<Type>` where `Size` can be \c 2,\c 3,\c 4 for hybrid dynamic/fixed matrices.
   *   - `VectorSize<Type>` and `RowVectorSize<Type>` for column and row vectors.
   *
   * With \cpp11, you can also use fully generic column and row vector types: `Vector<Type,Size>` and `RowVector<Type,Size>`.
   *
   * \sa class Matrix
   */
 
 #define EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, Size, SizeSuffix)   \
 /** \ingroup matrixtypedefs */                                    \
 typedef Matrix<Type, Size, Size> Matrix##SizeSuffix##TypeSuffix;  \
 /** \ingroup matrixtypedefs */                                    \
 typedef Matrix<Type, Size, 1>    Vector##SizeSuffix##TypeSuffix;  \
 /** \ingroup matrixtypedefs */                                    \
 typedef Matrix<Type, 1, Size>    RowVector##SizeSuffix##TypeSuffix;
 
 #define EIGEN_MAKE_FIXED_TYPEDEFS(Type, TypeSuffix, Size)         \
 /** \ingroup matrixtypedefs */                                    \
 typedef Matrix<Type, Size, Dynamic> Matrix##Size##X##TypeSuffix;  \
 /** \ingroup matrixtypedefs */                                    \
 typedef Matrix<Type, Dynamic, Size> Matrix##X##Size##TypeSuffix;
 
 #define EIGEN_MAKE_TYPEDEFS_ALL_SIZES(Type, TypeSuffix) \
 EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, 2, 2) \
 EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, 3, 3) \
 EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, 4, 4) \
 EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, Dynamic, X) \
 EIGEN_MAKE_FIXED_TYPEDEFS(Type, TypeSuffix, 2) \
 EIGEN_MAKE_FIXED_TYPEDEFS(Type, TypeSuffix, 3) \
 EIGEN_MAKE_FIXED_TYPEDEFS(Type, TypeSuffix, 4)
 
 EIGEN_MAKE_TYPEDEFS_ALL_SIZES(int,                  i)
 EIGEN_MAKE_TYPEDEFS_ALL_SIZES(float,                f)
 EIGEN_MAKE_TYPEDEFS_ALL_SIZES(double,               d)
 EIGEN_MAKE_TYPEDEFS_ALL_SIZES(std::complex<float>,  cf)
 EIGEN_MAKE_TYPEDEFS_ALL_SIZES(std::complex<double>, cd)
 
 #undef EIGEN_MAKE_TYPEDEFS_ALL_SIZES
 #undef EIGEN_MAKE_TYPEDEFS
 #undef EIGEN_MAKE_FIXED_TYPEDEFS
 
 #if EIGEN_HAS_CXX11
 
 #define EIGEN_MAKE_TYPEDEFS(Size, SizeSuffix)                     \
 /** \ingroup matrixtypedefs */                                    \
 /** \brief \cpp11 */                                              \
 template <typename Type>                                          \
 using Matrix##SizeSuffix = Matrix<Type, Size, Size>;              \
 /** \ingroup matrixtypedefs */                                    \
 /** \brief \cpp11 */                                              \
 template <typename Type>                                          \
 using Vector##SizeSuffix = Matrix<Type, Size, 1>;                 \
 /** \ingroup matrixtypedefs */                                    \
 /** \brief \cpp11 */                                              \
 template <typename Type>                                          \
 using RowVector##SizeSuffix = Matrix<Type, 1, Size>;
 
 #define EIGEN_MAKE_FIXED_TYPEDEFS(Size)                           \
 /** \ingroup matrixtypedefs */                                    \
 /** \brief \cpp11 */                                              \
 template <typename Type>                                          \
 using Matrix##Size##X = Matrix<Type, Size, Dynamic>;              \
 /** \ingroup matrixtypedefs */                                    \
 /** \brief \cpp11 */                                              \
 template <typename Type>                                          \
 using Matrix##X##Size = Matrix<Type, Dynamic, Size>;
 
 EIGEN_MAKE_TYPEDEFS(2, 2)
 EIGEN_MAKE_TYPEDEFS(3, 3)
 EIGEN_MAKE_TYPEDEFS(4, 4)
 EIGEN_MAKE_TYPEDEFS(Dynamic, X)
 EIGEN_MAKE_FIXED_TYPEDEFS(2)
 EIGEN_MAKE_FIXED_TYPEDEFS(3)
 EIGEN_MAKE_FIXED_TYPEDEFS(4)
 
 /** \ingroup matrixtypedefs
   * \brief \cpp11 */
 template <typename Type, int Size>
 using Vector = Matrix<Type, Size, 1>;
 
 /** \ingroup matrixtypedefs
   * \brief \cpp11 */
 template <typename Type, int Size>
 using RowVector = Matrix<Type, 1, Size>;
 
 #undef EIGEN_MAKE_TYPEDEFS
 #undef EIGEN_MAKE_FIXED_TYPEDEFS
 
 #endif // EIGEN_HAS_CXX11
 
 } // end namespace Eigen
 
 #endif // EIGEN_MATRIX_H

This page was automatically generated by the 2.3.7 LXR engine. The LXR team