Interpolation
=============

Methods for constructing a function that passes through a given set of data points.

English API (Aliases)
---------------------

.. autofunction:: numpyy.lagrange
.. autofunction:: numpyy.newton_interpolation
.. autofunction:: numpyy.newton_polynomial
.. autofunction:: numpyy.divided_differences
.. autofunction:: numpyy.interpolation_error
.. autofunction:: numpyy.vandermonde_matrix
.. autofunction:: numpyy.newton_basis
.. autofunction:: numpyy.chebyshev_nodes
.. autofunction:: numpyy.runge_function

Backend French API
------------------

.. automodule:: numpyy.interpolation
   :members:

Example: Newton Interpolation
-----------------------------

.. code-block:: python

   import numpyy as ny
   
   x_pts = [0, 1, 2]
   y_pts = [1, 3, 2]
   # Compute Newton polynomial
   poly = ny.newton_interpolation(x_pts, y_pts)
   print(poly(0.5))