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An Adaptive Algebraic Multigrid Algorithm for Low-Rank Canonical Tensor Decomposition
A new algorithm based on algebraic multigrid is presented for computing the rank-$R$ canonical decomposition of a tensor for small $R$. Standard alternating least squares (ALS) is used as the relaxation method. Transfer operators and coarse-level tensors are constructed in an adaptive setup phase that combines multiplicative correction and bootstrap …