\returns a read-only vector expression of the imaginary part (x,y,z) */

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

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

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

Sets the tolerance for the norm of the vector function*/

Sets the tolerance for the norm of the solution vector*/

Does nothing: provided for compatibility with SparseMatrix */

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

\returns a const pointer to the column major internal matrix */

inverse complex-to-complex

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

\returns an expression of P H P^-1 */

\returns a read-only vector expression of the imaginary part (x,y,z) */

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

\internal Frees memory allocated with aligned_malloc. */

* Get the number of columns of the input matrix. */

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

\returns an expression of the coefficient-wise logarithm of *this. * * Example: \include Cwise_log.cpp * Output: \verbinclude Cwise_log.out *

\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 */

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

\brief Number of rows of transformation viewed as a matrix. * \returns Number of rows * \details This equals the dimension of the space t

\returns an equivalent rotation matrix */

\internal Allocates \a size bytes. The returned pointer is guaranteed to have 16 bytes alignment. * On allocation error, the returned pointer is nul

\sa MatrixBase::coeff() * \warning the coordinates must fit into the referenced triangular part */

\brief Number of columns of transformation viewed as a matrix. * \returns Number of columns * \details This equals the dimension of the sp

* Compute the symbolic and numeric factorization of the input sparse matrix. * The input matrix should be in column-major storage. */