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Showing 1 to 1 of 1 for “"approssimazioni a basso rango"”.

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

    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 …

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