Block Updates on Truncated ULV Decomposition
[ X ]
Date
2013
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Verlag
Access Rights
info:eu-repo/semantics/closedAccess
Abstract
A truncated ULV decomposition (TULV) of an m×n matrix X of rank k is a decomposition of the form X = U1LV T 1 + E, where U1 and V1 are left orthogonal matrices, L is a k × k non-singular lower triangular matrix and E is an error matrix. Only U1, V1, L, and ?E?F are stored. We propose algorithms for block updating the TULV based upon Block Classical Gram-Schmidt that in [4]. We also use a refinement algorithm that reduces ?E?F, detects rank degeneracy, corrects it and sharpens the approximation. © Springer International Publishing Switzerland 2013.
Description
AIRCC Publishing Corporation;CSITC;HAVELSAN;KTD
3rd International Conference on Computational Science, Engineering and Information Technology, CCSEIT 2013 -- 7 June 2013 through 9 June 2013 -- Konya -- 98896
3rd International Conference on Computational Science, Engineering and Information Technology, CCSEIT 2013 -- 7 June 2013 through 9 June 2013 -- Konya -- 98896
Keywords
Block Classical Gram-Schmidt, Block Update, Truncated ULVD
Journal or Series
Advances in Intelligent Systems and Computing
WoS Q Value
Scopus Q Value
N/A
Volume
225
Issue
1