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bug #1047: document the structure layout of class Matrix
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@ -24,6 +24,9 @@ namespace Eigen {
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* API for the %Matrix class provides easy access to linear-algebra
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* operations.
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*
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* See documentation of class Matrix for detailed information on the template parameters
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* storage layout.
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*
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* This class can be extended with the help of the plugin mechanism described on the page
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* \ref TopicCustomizingEigen by defining the preprocessor symbol \c EIGEN_ARRAY_PLUGIN.
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*
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@ -24,13 +24,13 @@ namespace Eigen {
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* The %Matrix class encompasses \em both fixed-size and dynamic-size objects (\ref fixedsize "note").
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*
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* The first three template parameters are required:
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* \tparam _Scalar \anchor matrix_tparam_scalar Numeric type, e.g. float, double, int or std::complex<float>.
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* \tparam _Scalar Numeric type, e.g. float, double, int or std::complex<float>.
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* User defined scalar types are supported as well (see \ref user_defined_scalars "here").
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* \tparam _Rows Number of rows, or \b Dynamic
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* \tparam _Cols Number of columns, or \b Dynamic
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*
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* The remaining template parameters are optional -- in most cases you don't have to worry about them.
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* \tparam _Options \anchor matrix_tparam_options A combination of either \b #RowMajor or \b #ColMajor, and of either
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* \tparam _Options A combination of either \b #RowMajor or \b #ColMajor, and of either
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* \b #AutoAlign or \b #DontAlign.
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* The former controls \ref TopicStorageOrders "storage order", and defaults to column-major. The latter controls alignment, which is required
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* for vectorization. It defaults to aligning matrices except for fixed sizes that aren't a multiple of the packet size.
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@ -97,6 +97,40 @@ namespace Eigen {
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* are the dimensions of the original matrix, while _Rows and _Cols are Dynamic.</dd>
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* </dl>
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*
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* <i><b>ABI and storage layout</b></i>
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*
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* The table below summarizes the ABI of some possible Matrix instances which is fixed thorough the lifetime of Eigen 3.
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* <table class="manual">
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* <tr><th>Matrix type</th><th>Equivalent C structure</th></tr>
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* <tr><td>\code Matrix<T,Dynamic,Dynamic> \endcode</td><td>\code
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* struct {
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* T *data; // with (size_t(data)%EIGEN_MAX_ALIGN)==0
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* Eigen::Index rows, cols;
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* };
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* \endcode</td></tr>
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* <tr class="alt"><td>\code
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* Matrix<T,Dynamic,1>
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* Matrix<T,1,Dynamic> \endcode</td><td>\code
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* struct {
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* T *data; // with (size_t(data)%EIGEN_MAX_ALIGN)==0
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* Eigen::Index size;
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* };
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* \endcode</td></tr>
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* <tr><td>\code Matrix<T,Rows,Cols> \endcode</td><td>\code
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* struct {
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* T data[Rows*Cols]; // with (size_t(data)%A(Rows*Cols*sizeof(T)))==0
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* };
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* \endcode</td></tr>
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* <tr class="alt"><td>\code Matrix<T,Dynamic,Dynamic,0,MaxRows,MaxCols> \endcode</td><td>\code
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* struct {
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* T data[MaxRows*MaxCols]; // with (size_t(data)%A(MaxRows*MaxCols*sizeof(T)))==0
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* Eigen::Index rows, cols;
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* };
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* \endcode</td></tr>
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* </table>
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* 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
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* smaller to EIGEN_MAX_STATIC_ALIGN.
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*
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* \see MatrixBase for the majority of the API methods for matrices, \ref TopicClassHierarchy,
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* \ref TopicStorageOrders
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*/
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