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Karp and Zhang presented a general method for deriving randomized parallel branch-and-bound algorithms from sequential ones. They showed that with high probability the resulting algorithms attained optimal speedup to within a constant factor, for large enough problems. We present an alternate analysis of their method. Our analysis is considerably simpler, and gives good bounds even for small problem sizes.

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