In this paper we describe ideas used to accelerate the Searching Phase of the Berlekamp--Zassenhaus algorithm, the algorithm most widely used for computing factorizations in $Z[x]$. Our ideas do not alter the theoretical worst-case complexity, but they do have a significant effect in practice: especially in those cases where the cost of the Searching Phase completely dominates the rest of the algorithm. A complete implementation of the ideas in this paper is publicly available in the library NTL (Shoup 2000). We give timings of this implementation on some difficult factorization problems.
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