Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

V-invariant methods, generalised least squares problems, and the Kalman filter

Simple item page
dc.contributor.authorOsborne, Michael
dc.contributor.authorSoderkvist, Inge
dc.date.accessioned2015-12-13T22:49:07Z
dc.date.available2015-12-13T22:49:07Z
dc.date.issued2004
dc.date.updated2015-12-11T10:32:39Z
dc.description.abstractAn important consideration in solving generalised least squares problems is the dimension of the covariance matrix V. This has the dimension of the data set and is large when the data set is large. In addition the problem can be formulated to have a well
dc.identifier.issn1446-8735
dc.identifier.urihttp://hdl.handle.net/1885/80387
dc.publisherAustralian Mathematical Society
dc.sourceANZIAM Journal
dc.titleV-invariant methods, generalised least squares problems, and the Kalman filter
dc.typeJournal article
local.bibliographicCitation.lastpageC247
local.bibliographicCitation.startpageC232
local.contributor.affiliationOsborne, Michael, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationSoderkvist, Inge, Lulea University of Technology
local.contributor.authoruidOsborne, Michael, u4592503
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor010399 - Numerical and Computational Mathematics not elsewhere classified
local.identifier.ariespublicationMigratedxPub8652
local.identifier.citationvolume45
local.identifier.scopusID2-s2.0-35248864330
local.type.statusPublished Version

Downloads

Collections

ANU Research Publications

DSpace software copyright © 2002-2026 LYRASIS

abcd