# Applications of low-rank approximation: complex networks and inverse problems

@inproceedings{Fenu2015ApplicationsOL, title={Applications of low-rank approximation: complex networks and inverse problems}, author={Caterina Fenu}, year={2015} }

- Published 2015

The use of low-rank approximation is crucial when one is interested in solving
problems of large dimension. In this case, the matrix with reduced rank can
be obtained starting from the singular value decomposition considering only
the largest components. This thesis describes how the use of the low-rank
approximation can be applied both in the analysis of complex networks and in
the solution of inverse problems.
In the first case, it will be explained how to identify the most important… CONTINUE READING

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