\centerline{Comparison of Cluster Algorithms for 2-d Potts Models}
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\centerline{Clive F. Baillie and Paul D. Coddington}
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\centerline{Caltech Concurrent Computation Program,}
\centerline{California Institute of Technology,}
\centerline{Pasadena, CA 91125, USA}
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We have measured the dynamical critical exponents for the
Swendsen-Wang and the Wolff cluster update algorithms, as well as a 
number of variants of these algorithms, for the $q=2$ and $q=3$ Potts
models in two dimensions. We find that although the autocorrelation
lengths differ considerably between algorithms, the critical exponents
are the same.
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