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

Resizes the matrix to \a rows x \a cols while leaving old values untouched. * * The method is intended for matrices of dynamic size. If yo

* return the number of evaluation of functor */

\returns an expression for the bounding box diagonal vector * if the length of the diagonal is needed: diagonal().norm() * will provide it.

Sets the last row to [0 ... 0 1] */

\returns an expression of the matrix Q as products of sparse Householder reflectors. * The common usage of this function is to apply it to a dense

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

\returns a normalized copy of \c *this * \sa normalize(), MatrixBase::normalized() */

\returns the size of the storage major dimension, * i.e., the number of columns for a columns major matrix, and the number of rows otherwise */

Uniformly distributed random number generation a = random(seed); <- initialization & first random number generation a = random(); <- next random n

Static helper method reads the first to elements in the given file Inputs: fp file pointer of .dmat file that was just opened Outputs: num_rows numb

Resizes the matrix to a \a rows x \a cols matrix and initializes it to zero. * \sa resizeNonZeros(Index), reserve(), setZero() */

\internal */

\sa MatrixBase::setIdentity() */

Sets the maximum number of function evaluation */

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

* Return the array of supernode-to-column mapping */

\returns an equivalent rotation matrix */

* Return the array of nonzero values packed by column * * The size is nnz */

---------------------------------------- direct access interface

* Return the array of column-to-supernode mapping */