engleski

Low rank approximation using singular value decomposition

In many applications we have to deal with matrices which have a large amount of redundancy. The matrix of this kind can be expressed much more efficiently than simply by listing all the entries. In this paper we will show application of the low rank approximation using singular value decomposition in representation of matrices of such kind. We will illustrate this application in few examples from different fields of science.

singular value decomposition; reduced rank approximation; transfer of a picture; surface plot

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