On the Best Approximation Algorithm by Low-Rank Matrices in Chebyshev’s Norm

被引：0
|
作者：
N. L. Zamarashkin
S. V. Morozov
E. E. Tyrtyshnikov
机构：
[1] Marchuk Institute of Numerical Mathematics,
[2] Russian Academy of Sciences,undefined
来源：
Computational Mathematics and Mathematical Physics | 2022年 / 62卷
关键词：
approximation by low-rank matrices; Remez algorithm; Chebyshev’s approximation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：701 / 718
页数：17
相关论文
共 50 条
  • [41] A LOW-RANK APPROXIMATION OF TENSORS AND THE TOPOLOGICAL GROUP STRUCTURE OF INVERTIBLE MATRICES
    Gumerov, R. N.
    Sharafutdinov, A. S.
    UCHENYE ZAPISKI KAZANSKOGO UNIVERSITETA-SERIYA FIZIKO-MATEMATICHESKIE NAUKI, 2018, 160 (04): : 788 - 796
  • [42] Generalized low-rank approximation of matrices based on multiple transformation pairs
    Ahmadi, Soheil
    Rezghi, Mansoor
    PATTERN RECOGNITION, 2020, 108 (108)
  • [43] Efficient Low-Rank Approximation of Matrices Based on Randomized Pivoted Decomposition
    Kaloorazi, Maboud F.
    Chen, Jie
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2020, 68 : 3575 - 3589
  • [44] A distributed Frank–Wolfe framework for learning low-rank matrices with the trace norm
    Wenjie Zheng
    Aurélien Bellet
    Patrick Gallinari
    Machine Learning, 2018, 107 : 1457 - 1475
  • [45] Approximate Simultaneous Diagonalization of Matrices via Structured Low-Rank Approximation
    Akema, Riku
    Yamagishi, Masao
    Yamada, Isao
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2021, E104A (04) : 680 - 690
  • [46] Comments on "An analytical algorithm for generalized low-rank approximations of matrices"
    Hu, Yafeng
    Lv, Hairong
    Zhang, Xianda
    PATTERN RECOGNITION, 2008, 41 (06) : 2133 - 2135
  • [47] Dynamical low-rank approximation
    Koch, Othmar
    Lubich, Christian
    SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS, 2007, 29 (02) : 434 - 454
  • [48] From low-rank retractions to dynamical low-rank approximation and back
    Seguin, Axel
    Ceruti, Gianluca
    Kressner, Daniel
    BIT NUMERICAL MATHEMATICS, 2024, 64 (03)
  • [49] A hybrid algorithm for low-rank approximation of nonnegative matrix factorization
    Wang, Peitao
    He, Zhaoshui
    Xie, Kan
    Gao, Junbin
    Antolovich, Michael
    Tan, Beihai
    NEUROCOMPUTING, 2019, 364 : 129 - 137
  • [50] Toeplitz matrix completion via a low-rank approximation algorithm
    Ruiping Wen
    Yaru Fu
    Journal of Inequalities and Applications, 2020
12345