Data from: Deflation techniques applied on mixed model equations

DOI:10.4121/19153742.v2
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/19153742
Datacite citation style:
Nguyen, Buu-Van; Vandenplas, Jeremie (2022): Data from: Deflation techniques applied on mixed model equations. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/19153742.v2
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Dataset

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version 2 - 2022-12-12 (latest)
version 1 - 2022-02-15
Wageningen University and Research logo

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Categories

Licence

CC BY 4.0
This archive contains all datasets and scripts to reproduce the results of our study.
In this paper, we consider various deflation techniques applied in the Deflated
Preconditioned Conjugate Gradient (DPCG) method for solving a sparse system of linear
equations derived from a statistical linear mixed model that analyses simultaneously
phenotypic and pedigree information of genotyped and ungenotyped animals with Single
Polymorphism Nucleotide genotypes of genotyped animals.

History

  • 2022-02-15 first online
  • 2022-12-12 published, posted

Publisher

4TU.ResearchData

Format

jl sh dat id eff phen

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science
Wageningen University & Research, Animal Breeding and Genomics

DATA

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