  The STrauss process is a point process with unnormalized density with respect
to a Poisson point process, where each pair of points within a specified
distance $r$ of each other contributes a factor $\lambda \in (0, 1)$ to the
density. Basic Acceptance Rejection works spectacularly poorly for this
problem, which is why several other perfect simulation methods have been
developed. these methods, however, also work poorly for reasonably large values
of $\lambda$. *Acceptance Rejection Stitching* is a new method that works much
faster, allowing the simulation of point processes with values of $\lambda$
much larger than ever before.
