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Most standard objects in numerical algorithms are vectors and matrices.However,they are often considered as d-dimensional arrays or tensors.Therefore,one may use various tensor decompositions for exact or approximate representation of those arrays.The advantage is that the data gets to be determined by a small number of representation parameters,instead of the full number of elements of corresponding array.