SVP: SVP
In sa21204165/StatComp21076: SVT and SVP for 'Statistical Computing' course

Guaranteed Rank Minimization via Singular Value Projection

1	SVP(M, step_size, tolerance, rank_r, k_max)

`M`	sparse matrix
`step_size`	step size
`tolerance`	tolerance
`rank_r`	Rank Minimization
`k_max`	maximum number of iterations

complete matrix

## Not run: 
M <- matrix(c(0,1,0,1,0,1,0,1,0),3,3)
g <- SVP(M,1,0.01,2,10000)

## End(Not run)

sa21204165/StatComp21076 documentation built on Dec. 23, 2021, 11:11 p.m.

sa21204165/StatComp21076 index

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