Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.dam.2004.08.004
DC FieldValue
dc.titleOn the variance of average distance of subsets in the Hamming space
dc.contributor.authorFu, F.-W.
dc.contributor.authorLing, S.
dc.contributor.authorXing, C.
dc.date.accessioned2014-11-28T01:52:26Z
dc.date.available2014-11-28T01:52:26Z
dc.date.issued2005-01-30
dc.identifier.citationFu, F.-W., Ling, S., Xing, C. (2005-01-30). On the variance of average distance of subsets in the Hamming space. Discrete Applied Mathematics 145 (3) : 465-478. ScholarBank@NUS Repository. https://doi.org/10.1016/j.dam.2004.08.004
dc.identifier.issn0166218X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/111456
dc.description.abstractLet V be a finite set with q distinct elements. For a subset C of V n, denote var(C) the variance of the average Hamming distance of C. Let T(n, M; q) and R(n, M; q) denote the minimum and maximum variance of the average Hamming distance of subsets of Vn with cardinality M, respectively. In this paper, we study T(n, M; q) and R(n, M; q) for general q. Using methods from coding theory, we derive upper and lower bounds on var(C), which generalize and unify the bounds for the case q = 2. These bounds enable us to determine the exact value for T(n, M; q) and R(n, M; q) in several cases. © 2004 Elsevier B.V. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.dam.2004.08.004
dc.sourceScopus
dc.subjectAverage distance
dc.subjectCodes
dc.subjectDistance distribution
dc.subjectHamming space
dc.subjectSubsets
dc.subjectVariance
dc.typeArticle
dc.contributor.departmentTEMASEK LABORATORIES
dc.contributor.departmentMATHEMATICS
dc.description.doi10.1016/j.dam.2004.08.004
dc.description.sourcetitleDiscrete Applied Mathematics
dc.description.volume145
dc.description.issue3
dc.description.page465-478
dc.description.codenDAMAD
dc.identifier.isiut000226452800014
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.