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Issue 2
Mar.  2019
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CAI Jing. Convergence analysis of iterative methods for strictly sub-diagonally dominant linear equations[J]. Journal of East China Normal University (Natural Sciences), 2019, (2): 1-6, 55. doi: 10.3969/j.issn.1000-5641.2019.02.001
Citation: CAI Jing. Convergence analysis of iterative methods for strictly sub-diagonally dominant linear equations[J]. Journal of East China Normal University (Natural Sciences), 2019, (2): 1-6, 55. doi: 10.3969/j.issn.1000-5641.2019.02.001

Convergence analysis of iterative methods for strictly sub-diagonally dominant linear equations

doi: 10.3969/j.issn.1000-5641.2019.02.001
  • Received Date: 2018-04-02
  • Publish Date: 2019-03-25
  • The Jacobi iterative method, Guass-Seidel iterative method, and SOR iterative method are commonly used in solving linear equations. When the coefficient matrix of a system of linear equations is strictly sub-diagonally dominant, we demonstrate that the Jacobi, Guass-Seider, and SOR iterative methods are all convergent. By comparing the upper bounds of error for the three iterative methods, we show that the upper bound of error for the Guass-Seidel iterative method is minimal.
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