22 citations · 63 across the 20 of their papers we have counts for
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math.NA2017
On orthogonal tensors and best rank-one approximation ratio
Zhening Li, Yuji Nakatsukasa, Tasuku Soma +1
As is well known, the smallest possible ratio between the spectral norm and the Frobenius norm of an matrix with is and is (up to scalar scaling…
math.NA2015★ 2 cited
Finding a low-rank basis in a matrix subspace
Yuji Nakatsukasa, Tasuku Soma, André Uschmajew
For a given matrix subspace, how can we find a basis that consists of low-rank matrices? This is a generalization of the sparse vector problem. It turns out that when the subspace…