\returns the inner size. * * \note For a vector, this is just the size. For a matrix (non-vector), this is the minor dimension * wit

Swaps the values of \c *this and \a other. * Overloaded for performance: this version performs a \em shallow swap by swaping pointers and attrib

\returns a read-only expression of the translation vector of the transformation */

\returns the \c x coefficient */

Converts an ANSI string to a std::wstring

Returns true if a file exits

Group parameters

\returns an expression of the coefficient-wise arc cosine of *this. * * Example: \include Cwise_acos.cpp * Output: \verbinclude Cwise_acos.out

\returns a dynamic-size expression of a block in *this. * * \param startRow the first row in the block * \param startCol the first column in the

\returns true if \a U (full or thin) is asked for in this SVD decomposition */

\sa MatrixBase::conjugate() */

\returns the \c y coefficient */

Getters

\returns a const expression of the diagonal coefficients */

\returns the \c z coefficient */

Loads a texture, using either the DDS loader or the WIC loader

Resize the matrix without preserving the data (the matrix is set to zero) */

\returns the size of a side of the respective square matrix, i.e., the number of indices */

\brief Retruns the y-translation by value. **/

\brief Retruns the z-translation by value. **/

template<typename _Scalar>

\returns true if \a V (full or thin) is asked for in this SVD decomposition */

\return the equivalent permutation matrix */

Karl Malbrain's compact CRC-32. See "A compact CCITT crc16 and crc32 C implementation that balances processor cache usage against speed": http://www.g

\returns a constant reference to the unit normal vector of the plane, which corresponds * to the linear part of the implicit equation. */

Sets the viewport for a given render target size

\returns the number of columns. \sa rows() */

\returns the number of columns of the represented matrix. */

Must be called after inserting a set of non zero entries. */

\returns a read-only expression of the linear (linear) part of the transformation */

\returns the rank of the matrix of which *this is the QR decomposition. * * \note This method has to determine which pivots should be cons

\returns the squared norm of the quaternion's coefficients * \sa Quaternion::norm(), MatrixBase::squaredNorm() */

FIXME here we could return an expression of the sum