Faster Matrix Completion Using Randomized SVD

Fast SVD % function [U,S, V]=rsvd (X, r,q,p) % % usage : % % input: % * X : matrix whose SVD we want % * r : trunction (rank ) for exa

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Matrix completion is a widely used technique for
image in-painting and personalized recommended system, etc.
In this work, we focus on accelerating the matrix completion
using faster randomized singular value decomposition (rSVD).

Cite As

Mohamed Abugammar (2026). Faster Matrix Completion Using Randomized SVD (https://www.mathworks.com/matlabcentral/fileexchange/71164-faster-matrix-completion-using-randomized-svd), MATLAB Central File Exchange. Retrieved .

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MATLAB Release Compatibility

  • Compatible with any release

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  • Linux
Version Published Release Notes Action
1.0.0