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Weaker Convergence of Global Relaxed Multisplitting USAOR Methods for an H-matrix.

Li-Tao ZhangDingde JiangXianyu ZuoYing-Chao Zhao
Published in: Mob. Networks Appl. (2021)
Keyphrases
  • machine learning methods
  • methods require
  • significant improvement
  • computationally expensive
  • real time
  • least squares
  • sufficient conditions
  • empirical studies
  • global convergence