svdJacobi: SVD using Jacobi algorithm
In isglobal-brge/svdParallel: Parallel implementation of SVD

SVD using Jacobi algorithm

1	svdJacobi(x, tol = .Machine$double.eps)

`x`	a real nxp matrix
`tol`	a small positive error tolerance. Default is machine tolerance

Singular values, right singular vectors and left singular vectors of a real nxp matrix using two-sided Jacobi algorithm

a list of three components as for base::svd

1
2
3

(V <- (matrix(1:30, nrow=5, ncol=6)))
svdJacobi(V)
all.equal(svdJacobi(V)$v, base::svd(V)$v)

isglobal-brge/svdParallel documentation built on June 26, 2019, 9:40 p.m.

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