.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples\exp_map.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_auto_examples_exp_map.py>`
        to download the full example code.

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_exp_map.py:


Exponential Map Example
=======================

Compute the exponential map on the unit sphere.

.. GENERATED FROM PYTHON SOURCE LINES 7-24




.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    Input vectors:
    x = [0. 0. 1.]
    v = [1. 1. 0.]

    Exponential map exp_map(x, v):
    [0.698456   0.698456   0.15594369]






|

.. code-block:: Python


    import numpy as np
    from spheresmooth import exp_map   

    # Example inputs
    x = np.array([0.0, 0.0, 1.0])
    v = np.array([1.0, 1.0, 0.0])

    print("Input vectors:")
    print("x =", x)
    print("v =", v)

    # Compute exponential map: exp_map(x, v)
    result = exp_map(x, v)

    print("\nExponential map exp_map(x, v):")
    print(result)


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 0.001 seconds)


.. _sphx_glr_download_auto_examples_exp_map.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: exp_map.ipynb <exp_map.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: exp_map.py <exp_map.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: exp_map.zip <exp_map.zip>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_