Author:
Che Maolin,Wei Yimin,Xu Yanwei
Funder
national natural science foundation of china
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Management Science and Operations Research,Control and Optimization,Computer Science Applications
Reference52 articles.
1. Ahmadiasl, S., Cichocki, A., Phan, A., Oseledets, I., Abukhovich, S., Tanaka, T.: Randomized algorithms for computation of Tucker decomposition and higher order SVD (HOSVD). IEEE Access 9, 28684–28706 (2021)
2. Ailon, N., Chazelle, B.: The fast Johnson-Lindenstrauss transform and approximate nearest neighbors. SIAM Journal on Computing 39, 302–322 (2009)
3. Aizenbud, Y., Shabat, G., Averbuch, A.: Randomized LU decomposition using sparse projections. Computers and Mathematics with Applications 72, 2525–2534 (2016)
4. Bader, B.W., Kolda, T.G.: Algorithm 862: Matlab tensor classes for fast algorithm prototyping. ACM Transactions on Mathematical Software 32, 635–653 (2006)
5. Bader, B.W., Kolda, T.G. et al.: Matlab tensor toolbox version 3.0-dev. Available online (Oct. 2017). https://www.tensortoolbox.org
Cited by
2 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