Applied Mathematics and Mechanics (English Edition) ›› 2004, Vol. 25 ›› Issue (2): 236-244.

• 论文 • 上一篇    

A CLASS OF ALTERNATING GROUP METHOD OF BURGERS' EQUATION

王文洽   

  1. School of Mathematics and System Science, Shandong University, Jinan 250100, P. R. China
  • 收稿日期:2001-05-08 修回日期:2003-06-27 出版日期:2004-02-18 发布日期:2004-02-18
  • 基金资助:
    the Doctorate Foundation of the State Education Department of China(97042202);the Natural Science Foundation of Shandong Province of China (Y2003A04)

A CLASS OF ALTERNATING GROUP METHOD OF BURGERS' EQUATION

WANG Wen-qia   

  1. School of Mathematics and System Science, Shandong University, Jinan 250100, P. R. China
  • Received:2001-05-08 Revised:2003-06-27 Online:2004-02-18 Published:2004-02-18
  • Supported by:
    the Doctorate Foundation of the State Education Department of China(97042202);the Natural Science Foundation of Shandong Province of China (Y2003A04)

摘要: Some new Saul'yev type asymmetric difference schemes for Burgers' equation is given, by the use of the schemes, a kind of alternating group four points method for solving nonlinear Burgers' equation is constructed here. The basic idea of the method is that the grid points on the same time level is divided into a number of groups, the difference equations of each group can be solved independently, hence the method with intrinsic parallelism can be used directly on parallel computer. The method is unconditionally stable by analysis of linearization procedure. The numerical experiments show that the method has good stability and accuracy.

Abstract: Some new Saul'yev type asymmetric difference schemes for Burgers' equation is given, by the use of the schemes, a kind of alternating group four points method for solving nonlinear Burgers' equation is constructed here. The basic idea of the method is that the grid points on the same time level is divided into a number of groups, the difference equations of each group can be solved independently, hence the method with intrinsic parallelism can be used directly on parallel computer. The method is unconditionally stable by analysis of linearization procedure. The numerical experiments show that the method has good stability and accuracy.

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