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机构地区:[1]安徽科技大学理学院,凤阳233100 [2]南京航空航天大学理学院,南京210016
出 处:《高等学校计算数学学报》2008年第4期390-399,共10页Numerical Mathematics A Journal of Chinese Universities
基 金:安徽科技学院引进人才项目(ZRC2008172)
摘 要:1 引言在电磁场散射[1]等一些应用问题中。In this paper, we present the global conjugate gradient squared symmetric linear systems of equations is based on global oblique projections a new transpose-free global method (called algorithm (G1-CGS)) for solving large nonwith multiple right-hand sides. The method of the initial residual onto a matrix Krylov subspace. Although related to the global biconjugate gradient (G1-BCG) algorithm, the G1-CGS algorithm does not need multiplication by the transpose of a matrix. To avoid the irregular convergence behavior of the residual norm in the G1-CGS algorithm, we develop a global smoothing technique. Applying the technique to the G1-CGS algorithm, we obtain the smoothed G1-CGS algorithm. Finally, some numerical examples are given to illustrate the effectiveness of the proposed method.
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