\returns the \c y coefficient */

Constructs a uniform scaling from scale factor \a s */

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

\returns the \c w coefficient */

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

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

Only plain matrices/arrays, not expressions, may be resized; therefore the only useful resize methods are * Matrix::resize() and Array::resize()

\returns the \c z coefficient */

\returns the absolute distance between the plane \c *this and a point \a p. * \sa signedDistance() */

\returns the number of rows. \sa cols(), RowsAtCompileTime */

Default constructor Start a series of r trials:

\returns the dot product of \c *this and \a other * Geometrically speaking, the dot product of two unit quaternions * corresponds to the cosin

Sets all coefficients to zero. */

\returns a const pointer to the data array of this matrix */

FIXME here we could return an expression of the sum

\returns true if the matrix of which *this is the LU decomposition is invertible. * * \note This method has to determine which pivots shou

\brief Constructs the Hessenberg matrix H in the decomposition * * \returns expression object representing the matrix H * * \p

Sets the default parameters */

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 the \c x coefficient */

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

\sa MatrixBase::conjugate() */

\returns the current precision. * * \sa setPrecision() */

\returns the \c y coefficient */

///////////////////////////////////////////////////////////////////// Integer Related Functions