A sublinear time randomized algorithm for coset enumeration in the black box model

0Citations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Coset enumeration is for enumerating the cosets of a subgroup H of a finite index in a group G. We study coset enumeration algorithms by using two random sources to generate random elements in a finite group G and its subgroup H. For a finite set S and a real number c > 0, a random generator R S is a c-random source for S if c· min {Pr[a = R S ())|a ∈ S]}≥ max {Pr[a = R S())|a ∈ S]}. Let c be an arbitrary constant. We present an O (|G|/√|H|(log |G|)3)-time randomized algorithm that, given two respective c-random sources R G for a finite group G and R H for a subgroup H ⊆ G, computes the index t = |G|/|H| and a list of elements a1, a2,...,a t ∈ G such that ai H∩aj H = φ for all i ≠ j, and Ui=1t aiH = G. This algorithm is sublinear time when |H| = Ω((log|G|)6 + ε ) for some constant ε > 0. © 2008 Springer-Verlag Berlin Heidelberg.

Cite

CITATION STYLE

APA

Fu, B., & Chen, Z. (2008). A sublinear time randomized algorithm for coset enumeration in the black box model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5092 LNCS, pp. 82–91). https://doi.org/10.1007/978-3-540-69733-6_9

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free