**spiral_data**,
a Python code which
samples a velocity vector field that satisfies the
continuity equation, and writes the nodes and velocities to a file,
suitable for display using GNUPLOT.

The continuous velocity field **(U,V)(X,Y)** that is discretely
sampled here satisfies the homogeneous continuity equation, that is,
it has zero divergence. In other words:

This is by construction, since we havedU/dX + dV/dY = 0.

which guarantees zero divergence.U(X,Y) = 10 * d/dY ( PHI(X) * PHI(Y) ) V(X,Y) = -10 * d/dX ( PHI(X) * PHI(Y) )

The underlying function PHI is defined by

where C is a parameter.PHI(Z) = ( 1 - cos ( C * pi * Z ) ) * ( 1 - Z )^2

The velocity data satisifes the (continuous) continuity equation;
this in **no way** implies that it satisfies the momentum equations
associated with Stokes or Navier-Stokes flow! Moreover, a flow solution
for those equations would normally also require specifying a value
for the scalar pressure field **P(X,Y)**.

The computer code and data files made available on this web page are distributed under the MIT license

**spiral_data** is available in
a C version and
a C++ version and
a FORTRAN90 version and
a MATLAB version and
a Python version.

navier_stokes_2d_exact, a Python code which evaluates an exact solution to the incompressible time-dependent Navier-Stokes equations over an arbitrary domain in 2D.

stokes_2d_exact, a Python code which evaluates exact solutions to the incompressible steady Stokes equations over the unit square in 2D.

- spiral_data.py, the source code.
- spiral_data.sh, runs all the tests.
- spiral_data.txt, the output file.

- spiral_data_data.txt, data for GNUPLOT.
- spiral_data_commands.txt, commands for GNUPLOT.
- spiral_data.png, the resulting plot from GNUPLOT.

- spiral_matplotlib.png, the MATPLOTLIB plot.