Technical note: A successive over-relaxation preconditioner to solve mixed model equations for genetic evaluation

Title
Technical note: A successive over-relaxation preconditioner to solve mixed model equations for genetic evaluation
Publication Date
2016
Author(s)
Meyer, Karin
( author )
OrcID: https://orcid.org/0000-0003-2663-9059
Email: kmeyer@une.edu.au
UNE Id une-id:kmeyer
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
American Society of Animal Science
Place of publication
United States of America
DOI
10.2527/jas.2016-0665
UNE publication id
une:20813
Abstract
A computationally efficient preconditioned conjugate gradient algorithm with a symmetric successive over-relaxation (SSOR) preconditioner for the iterative solution of set mixed model equations is described. The potential computational savings of this approach are examined for an example of single-step genomic evaluation of Australian sheep. Results show that the SSOR preconditioner can substantially reduce the number of iterates required for solutions to converge compared with simpler preconditioners with marked reductions in overall computing time.
Link
Citation
Journal of Animal Science, 94(11), p. 4530-4535
ISSN
1525-3163
0021-8812
Start page
4530
End page
4535

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