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2013 | OriginalPaper | Buchkapitel

2. Estimation Problems and Randomised Group Algorithms

verfasst von : Alice C. Niemeyer, Cheryl E. Praeger, Ákos Seress

Erschienen in: Probabilistic Group Theory, Combinatorics, and Computing

Verlag: Springer London

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Abstract

This chapter discusses the role of estimation in the design and analysis of randomised algorithms for computing with finite groups.An exposition is given of a variety of different approaches to estimating proportions of important element classes, including geometric methods, and the use of generating functions and the theory of Lie type groups.Numerous results concerning estimation in permutation groups and finite classical groups are surveyed.An application is given to the construction of involution centralisers, a crucial component in the constructive recognition of finite simple groups.

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Fußnoten
1
Translation by Peter M. Neumann, The Queen’s College, University of Oxford.
 
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Metadaten
Titel
Estimation Problems and Randomised Group Algorithms
verfasst von
Alice C. Niemeyer
Cheryl E. Praeger
Ákos Seress
Copyright-Jahr
2013
Verlag
Springer London
DOI
https://doi.org/10.1007/978-1-4471-4814-2_2