UT3Tangent.to_ut3
=================

.. py:method:: t3toolbox.uniform_manifold.UT3Tangent.to_ut3(include_shift = False)

   .. code-block:: python

      def to_ut3(
              self,
              include_shift:  bool = False,  # False: tangent vector v. True: base point + v.
      ) -> ut3.UniformTuckerTensorTrain:  # doubled-rank uniform Tucker tensor train


   Doubled-rank :py:class:`UniformTuckerTensorTrain` representation of this tangent vector.

   The Tucker and TT ranks are (roughly) doubled (masks double via concatenation). With
   ``include_shift=True`` the result represents ``base point + v`` (used by retraction). The uniform
   mirror of :py:meth:`T3Tangent.to_t3`; see
   :py:func:`~t3toolbox.backend.utv_operations.utv_to_ut3` (Appendix A.3.1).