generalBlockSVD: SVD using an incremental SVD algorithm.
In isglobal-brge/svdParallel: Parallel implementation of SVD

SVD using an incremental SVD algorithm.

1	generalBlockSVD(A, k = 2, q = 1)

`k`	number of local SVDs to concatenate at each level
`q`	number of levels
`x`	a real nxp matrix

Singular values and left singular vectors of a real nxp matrix

a list of three components with the singular values and left and right singular vectors of the matrix

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(V <- (matrix(1:30, nrow=5, ncol=6)))
generalBlockSVD(V,2,3)
all.equal(generalBlockSVD(V,2,3)$u, base::svd(V)$u)

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

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