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}
}
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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