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- W2125655985 abstract "SUMMARY We study the least squares functional of the canonical polyadic tensor decomposition for third order tensors by eliminating one factor matrix, which leads to a reduced functional. An analysis of the reduced functional leads to several equivalent optimization problem, such as a Rayleigh quotient or a projection. These formulations are the basis of several new algorithms as follows: the Centroid Projection method for efficient computation of suboptimal solutions and fixed‐point iteration methods for approximating the best rank‐1 and the best rank‐ R decompositions under certain nondegeneracy conditions. Copyright © 2013 John Wiley & Sons, Ltd." @default.
- W2125655985 created "2016-06-24" @default.
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- W2125655985 date "2013-03-14" @default.
- W2125655985 modified "2023-10-05" @default.
- W2125655985 title "News Algorithms for tensor decomposition based on a reduced functional" @default.
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- W2125655985 doi "https://doi.org/10.1002/nla.1875" @default.
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