  In this work a method for reconstructing velocity and acceleration fields is
described which uses scattered particle tracking data from flow experiments as
input. The goal is to reconstruct these fields faithfully with a limited amount
of compute time and exploit known flow properties such as a divergence-free
velocity field for incompressible flows and a rotation-free acceleration in
case it is known to be dominated by the pressure gradient in order to improve
the spatial resolution of the reconstruction.
