Randomized algorithms for the approximations of Tucker and the tensor train decompositions
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DOI: 10.1007/s10444-018-9622-8
Abstract: Randomized algorithms provide a powerful tool for scientific computing. Compared with standard deterministic algorithms, randomized algorithms are often faster and robust. The main purpose of this paper is to design adaptive randomized algorithms for computing… read more here.
Keywords: tensor train; adaptive randomized; tensor; algorithms approximations ... See more keywords