Preconditioned Gauss-seidel Iterative Method for Z-matrices Linear Systems

نویسندگان

  • Hailong Shen
  • Xinhui Shao
  • Zhenxing Huang
  • Chunji Li
  • HAILONG SHEN
  • XINHUI SHAO
  • ZHENXING HUANG
  • CHUNJI LI
چکیده

For Ax = b, it has recently been reported that the convergence of the preconditioned Gauss-Seidel iterative method which uses a matrix of the type P = I + S (α) to perform certain elementary row operations on is faster than the basic Gauss-Seidel method. In this paper, we discuss the adaptive Gauss-Seidel iterative method which uses P = I + S (α) + K̄ (β) as a preconditioner. We present some comparison theorems, which show the rate of convergence of the new method is faster than the basic method and the method in [7] theoretically. Numerical examples show the effectiveness of our algorithm.

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تاریخ انتشار 2011