摘要

Solution of Laplace%26apos;s equation can be done by iteration methods likes Jacobi, Gauss-Seidel, and successive over-relaxation (SOR). There is no new knowledge about the relaxation coefficient (omega) in SOR method. In this paper, we used SOR for solving Laplace%26apos;s differential equation with emphasis to obtaining the optimum (minimum) number of iterations with variations of the relaxation coefficient (omega). For this purpose, a code in FORTRAN language has been written to show the solution of a set of equations and its number of iterations. The results demonstrate that the optimum value of omega with minimum iterations is achieved between 1.7 and 1.9. Also, with increasing beta=Delta x/Delta y from 0.25 to 10, the number of iterations reduced and the optimum value is obtained for beta=2.

  • 出版日期2013-9