:py:mod:`least_squares_velocity`
================================

.. py:module:: least_squares_velocity


Module Contents
---------------


Functions
~~~~~~~~~

.. autoapisummary::

   least_squares_velocity.least_squares_velocity
   least_squares_velocity.least_squares_velocity_old
   least_squares_velocity.unstructured_least_squares_velocity
   least_squares_velocity.unstructured_least_squares_velocity_old
   least_squares_velocity.unstructured_least_squares_velocity_tri



.. py:function:: least_squares_velocity(mu_grid, delta_coll_point)

   
   We use the normal equations to solve for the derivative approximations, skipping the assembly of the original matrices
   A^{T}Ax   = A^{T}b becomes Cx = d; we generate C and d directly
















   ..
       !! processed by numpydoc !!

.. py:function:: least_squares_velocity_old(mu_grid, delta_coll_point)

   
   We use the normal equations to solve for the derivative approximations, skipping the assembly of the original matrices
   A^{T}Ax   = A^{T}b becomes Cx = d; we generate C and d directly
















   ..
       !! processed by numpydoc !!

.. py:function:: unstructured_least_squares_velocity(mu, delta_coll_point, cell_adjacency, start, constant_geometry=False)


.. py:function:: unstructured_least_squares_velocity_old(mu, delta_coll_point, cell_adjacency)


.. py:function:: unstructured_least_squares_velocity_tri(mu, delta_coll_point, cell_adjacency, constant_geometry=False)