首页 | 本学科首页   官方微博 | 高级检索  
     

SINE TRANSFORM PRECONDITIONERS FOR SECOND-ORDER PARTIAL DIFFERENTIAL EQUATIONS
引用本文:金小庆. SINE TRANSFORM PRECONDITIONERS FOR SECOND-ORDER PARTIAL DIFFERENTIAL EQUATIONS[J]. 高等学校计算数学学报(英文版), 1993, 0(1)
作者姓名:金小庆
作者单位:Faculty of
摘    要:In this paper, we are concerned with the numerical solution of second-order partial differential equations. We analyse the use of the Sine Transform precondilioners for the solution of linear systems arising from the discretization of p.d.e. via the preconditioned conjugate gradient method. For the second-order partial differential equations with Dirichlel boundary conditions, we prove that the condition number of the preconditioned system is O(1) while the condition number of the original system is O(m 2) Here m is the number of interior gridpoints in each direction. Such condition number produces a linear convergence rale.


SINE TRANSFORM PRECONDITIONERS FOR SECOND -ORDER PARTIAL DIFFERENTIAL EQUATIONS
Jin Xiao-qing Faculty of Science and Technology,University of Macau,Macau.. SINE TRANSFORM PRECONDITIONERS FOR SECOND -ORDER PARTIAL DIFFERENTIAL EQUATIONS[J]. Numerical Mathematics A Journal of Chinese Universities English Series, 1993, 0(1)
Authors:Jin Xiao-qing Faculty of Science  Technology  University of Macau  Macau.
Abstract:In this paper, we are concerned with the numerical solution of second-order partial differential equations. We analyse the use of the Sine Transform precondilioners for the solution of linear systems arising from the discretization of p.d.e. via the preconditioned conjugate gradient method. For the second-order partial differential equations with Dirichlel boundary conditions, we prove that the condition number of the preconditioned system is O(1) while the condition number of the original system is O(m 2) Here m is the number of interior gridpoints in each direction. Such condition number produces a linear convergence rale.
Keywords:Sine Transform   finite difference method   second-order partial differential equation   condition number   preconditioned conjugate gradient method
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号