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Schreier–Sims algorithm
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== Background and timing == The algorithm is an efficient method of computing a [[base (group theory)|base]] and [[strong generating set]] (BSGS) of a [[permutation group]]. In particular, an SGS determines the order of a group and makes it easy to test membership in the group. Since the SGS is critical for many algorithms in computational group theory, [[computer algebra system]]s typically rely on the Schreier–Sims algorithm for efficient calculations in groups. The running time of Schreier–Sims varies on the implementation. Let <math> G \leq S_n </math> be given by <math>t</math> [[Generating set of a group|generators]]. For the [[deterministic]] version of the algorithm, possible running times are: * <math>O(n^2 \log^3 |G| + tn \log |G|) </math> requiring memory <math>O(n^2 \log |G| + tn)</math> * <math>O(n^3 \log^3 |G| + tn^2 \log |G|) </math> requiring memory <math>O(n \log^2 |G| + tn) </math> The use of [[Schreier vector]]s can have a significant influence on the performance of implementations of the Schreier–Sims algorithm. The [[Monte Carlo algorithm|Monte Carlo]] variations of the Schreier–Sims algorithm have the estimated complexity: : <math>O(n \log n \log^4 |G| + tn \log |G|)</math> requiring memory <math>O(n \log |G| + tn)</math>. Modern computer algebra systems, such as [[GAP computer algebra system|GAP]] and [[Magma computer algebra system|Magma]], typically use an optimized [[Monte Carlo algorithm]].
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