Spectral partitioning of large and sparse 3‐tensors using low‐rank tensor approximation-Reference-Cited by-同舟云学术

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Spectral partitioning of large and sparse 3‐tensors using low‐rank tensor approximation

Published:2022-02-28 Issue:5 Volume:29 Page:
ISSN:1070-5325
Container-title:Numerical Linear Algebra with Applications
language:en
Short-container-title:Numerical Linear Algebra App

Author:

Eldén Lars¹^ORCID,Dehghan Maryam²

Affiliation:

1. Department of Mathematics Linköping University Linköping Sweden

2. Department of Mathematics Persian Gulf University Bushehr Iran

Publisher

Wiley

Subject

Applied Mathematics,Algebra and Number Theory

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nla.2435

Reference48 articles.

1. ChungF.Spectral graph theory. Proceedings of the CBMS Regional Conference Series in Mathematics Number 92. American Mathematical Society; 1997.

2. Ranks and Representations for Spectral Graph Bisection

3. Spectral bisection of graphs and connectedness

4. Mixed-order spectral clustering for complex networks

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Krylov-Schur-like method for computing the best rank-(r1,r2,r3) approximation of large and sparse tensors;Numerical Algorithms;2022-04-27

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