Skip to main content Accessibility help
×
Hostname: page-component-7479d7b7d-qs9v7 Total loading time: 0 Render date: 2024-07-11T09:39:03.539Z Has data issue: false hasContentIssue false

6 - A Library of Nearly Linear-Time Algorithms

Published online by Cambridge University Press:  15 August 2009

Ákos Seress
Affiliation:
Ohio State University
Get access

Summary

In this chapter, we develop a nearly linear-time library for constructing certain important subgroups of a given group. All algorithms are of the Monte Carlo type, since they are based on results of Section 4.5. However, if a base and SGS are known for the input group, then all algorithms in this chapter are of Las Vegas type (and in most cases there are even deterministic versions).

A current research project of great theoretical and practical interest is the upgrading of Monte Carlo permutation group algorithms to Las Vegas type. The claim we made in the previous paragraph implies that it is enough to upgrade the SGS constructions; we shall present a result in this direction in Section 8.3. To prove that all algorithms in this chapter are of Las Vegas type or deterministic, we always suppose that the input is an SGS S for some G ≤ Sym(Ω) relative to some base B, S satisfies S = S-1, and transversals corresponding to the point stabilizer chain defined by B are coded in shallow Schreier trees. Throughout this chapter, shallow Schreier tree means a Schreier tree of depth at most 2 log |G|. We remind the reader that, by Lemma 4.4.2, given an arbitrary SGS for G, a new SGS S satisfying S = S-1 and defining a shallow Schreier tree data structure can be computed in nearly linear time by a deterministic algorithm.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2003

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×