Lars Eldén, Berkant Savas. A Newton-Grassmann Method for Computing the Best Multilinear Rank-(r::1, :: r::2, :: r::3):: Approximation of a Tensor. SIAM J. Matrix Analysis Applications, 31(2):248-271, 2009. [doi]
@article{EldenS09,
title = {A Newton-Grassmann Method for Computing the Best Multilinear Rank-(r::1, :: r::2, :: r::3):: Approximation of a Tensor},
author = {Lars Eldén and Berkant Savas},
year = {2009},
doi = {10.1137/070688316},
url = {http://dx.doi.org/10.1137/070688316},
researchr = {https://researchr.org/publication/EldenS09},
cites = {0},
citedby = {0},
journal = {SIAM J. Matrix Analysis Applications},
volume = {31},
number = {2},
pages = {248-271},
}