A nonlinearly preconditioned conjugate gradient algorithm for rank‐ R canonical tensor approximation-Reference-Cited by-同舟云学术

A nonlinearly preconditioned conjugate gradient algorithm for rank‐ R canonical tensor approximation

Published:2014-10-31 Issue:3 Volume:22 Page:410-432
ISSN:1070-5325
Container-title:Numerical Linear Algebra with Applications
language:en
Short-container-title:Numer. Linear Algebra Appl.

Author:

Sterck Hans De¹,Winlaw Manda¹

Affiliation:

1. Department of Applied Mathematics University of Waterloo Waterloo Ontario N2L 3G1 Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Lawrence Livermore National Laboratory

Publisher

Wiley

Subject

Applied Mathematics,Algebra and Number Theory

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nla.1963

Reference32 articles.

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3. Tensor Decompositions and Applications

4. A comparison of algorithms for fitting the PARAFAC model

5. A scalable optimization approach for fitting canonical tensor decompositions

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