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https://hdl.handle.net/1959.11/4506| Title: | Ordering strategies to reduce computational requirements in variance component estimation | Contributor(s): | Meyer, Karin (author) | Publication Date: | 2005 | Handle Link: | https://hdl.handle.net/1959.11/4506 | Abstract: | Computational requirements for sparse matrix factorisation or inversion are highly dependent on the 'fill-in' created. This can be reduced by judicious re-ordering of equations. It is shown that use of newer ordering strategies, with corresponding computer code available in the public domain, can reduce the time required for ordering and computational requirements of analyses dramatically. | Publication Type: | Conference Publication | Conference Details: | AAABG 2005: 16th Conference of the Association for the Advancement of Animal Breeding and Genetics, Noosa Lakes, Australia, 25th - 28th September, 2005 | Source of Publication: | Proceedings of the Association for the Advancement of Animal Breeding and Genetics, v.16, p. 282-285 | Place of Publication: | Collingwood, Australia | ISSN: | 1328-3227 | Fields of Research (FoR) 2008: | 070201 Animal Breeding | Socio-Economic Objective (SEO) 2008: | 830301 Beef Cattle | Peer Reviewed: | Yes | HERDC Category Description: | E1 Refereed Scholarly Conference Publication | Publisher/associated links: | http://www.aaabg.org/livestocklibrary/2005/282meyer.pdf http://trove.nla.gov.au/work/13321110 |
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| Appears in Collections: | Animal Genetics and Breeding Unit (AGBU) Conference Publication |
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