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Full Record Details
Persistent URL
http://purl.org/net/epubs/work/29535
Record Status
Checked
Record Id
29535
Title
Incremental norm estimation for dense and sparse matrices
Contributors
I Duff
,
C Vömel
Abstract
We discuss the benefits of an incremental approach to norm estimation for triangular matrices. Our investigation covers both dense and sparse matrices. If we use our incremental norm estimation on explicitly generated entries of the inverse of the triangular matrix, we can relate our results to incremental condition estimation (ICE). We show that our algorithm extends more naturally to the sparse case than ICE. Our scheme can be used to develop a robust pivot selection criterion for QR factorization or as the basis of a rank-revealing factorization.
Organisation
CCLRC
Keywords
Funding Information
Related Research Object(s):
33215
,
33213
Licence Information:
Language
English (EN)
Type
Details
URI(s)
Local file(s)
Year
Report
RAL Technical Reports
RAL-TR-2001-005. 2001.
raltr-2001005.pdf
2001
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