:py:mod:`grad_mu_comp`
======================

.. py:module:: grad_mu_comp


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


Functions
~~~~~~~~~

.. autoapisummary::

   grad_mu_comp.least_squares_velocity
   grad_mu_comp.perturbation_velocity_FD
   grad_mu_comp.perturbation_velocity_FD_K_P
   grad_mu_comp.unstructured_least_squares_velocity



.. 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:: perturbation_velocity_FD(mu_grid, dl, dm)


.. py:function:: perturbation_velocity_FD_K_P(mu_grid, panel_center_dl, panel_center_dm)


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