  Deterministic and random fractals, within the framework of Iterated Function
Systems, have been used to model and study a wide range of phenomena across
many areas of science and technology. However, for many applications
deterministic fractals are locally too similar near distinct points while
standard random fractals have too little local correlation. Random fractals are
also slow and difficult to compute. These two major problems restricting
further applications are solved here by the introduction of V-variable fractals
and superfractals.
