Data from: Deflation techniques applied on mixed model equations
doi:10.4121/19153742.v2
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doi: 10.4121/19153742
doi: 10.4121/19153742
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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
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.
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 ScienceWageningen University & Research, Animal Breeding and Genomics
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