Abstract
In this paper, based on global relaxed parallel multisplitting USAOR (GUSAOR) method presented by Zhang et al. (Appl Math Comput 20:121–132, 2008) and similar ideas used by Zhang and Li (Comput Math Appl 67:1954–195, 2014), we further analyze global relaxed parallel multisplitting USAOR (GUSAOR) method and obtain the weaker convergence results compared to Zhang et al.’s when the system matrix is an H-matrix. Moreover, convergence graph and numerical examples clearly show that our new convergence domain is wider.
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This research of this author is supported by the National Natural Science Foundation of China (11226337, 11501525, 11961082, 11801528, 61571104, 41906003), Excellent Youth Foundation of Science & Technology Innovation of Henan Province (184100510001, 184100510004), Aeronautical Science Foundation of China (2016ZG55019, 2017ZD55014), Basic Research Projects of Key Scientific Research Projects Plan in Henan Higher Education Institutions(20zx003), Science and Technological Research of Key Projects of Henan Province (182102210242, 182102110065), Project of Youth Backbone Teachers of Colleges and Universities of Henan Province (2019GGJS176).
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Zhang, LT., Jiang, DD., Zuo, XY. et al. Weaker Convergence of Global Relaxed Multisplitting USAOR Methods for an H-matrix. Mobile Netw Appl 26, 755–765 (2021). https://doi.org/10.1007/s11036-019-01417-1
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DOI: https://doi.org/10.1007/s11036-019-01417-1