122 citations to 10.1017/S0962492906380014 (Crossref Cited-By Service)
  1. Qin Guo, Xianghua Liu, Peixin Ye, “The learning performance of the weak rescaled pure greedy algorithms”, J Inequal Appl, 2024, № 1, 2024, 30  crossref
  2. Eugenio Hernández, Maria de Natividade, New Trends in Applied Harmonic Analysis, 2016, 145  crossref
  3. D. B. Bazarkhanov, “Nonlinear trigonometric approximations of multivariate function classes”, Proc. Steklov Inst. Math., 293, № 1, 2016, 2  crossref
  4. Min Zhang, Minrun Wu, 2020 10th Institute of Electrical and Electronics Engineers International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2020, 192  crossref
  5. V. N. Temlyakov, Mingrui Yang, Peixin Ye, “Greedy approximation with regard to non-greedy bases”, Adv Comput Math, 34, № 3, 2011, 319  crossref
  6. Zheng Wang, Ming-Jun Lai, Zhaosong Lu, Wei Fan, Hasan Davulcu, Jieping Ye, “Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion”, SIAM J. Sci. Comput., 37, № 1, 2015, A488  crossref
  7. Louis Brown, Stefan Steinerberger, “Positive-Definite Functions, Exponential Sums and the Greedy Algorithm: a Curious Phenomenon”, Journal of Complexity, 61, 2020, 101485  crossref
  8. Tizian Wenzel, Gabriele Santin, Bernard Haasdonk, “A novel class of stabilized greedy kernel approximation algorithms: Convergence, stability and uniform point distribution”, Journal of Approximation Theory, 262, 2021, 105508  crossref
  9. Pavel Aleksandrovich Terekhin, “Аффинные базисы Рисса и дуальная функция”, Математический сборник, 207, № 9, 2016, 111  crossref
  10. Alvin J. K. Chua, Chad R. Galley, Michele Vallisneri, “Reduced-Order Modeling with Artificial Neurons for Gravitational-Wave Inference”, Phys. Rev. Lett., 122, № 21, 2019, 211101  crossref
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