A choice of relazation parameter in SSO preconditioned Newton-Krylov method

摘要：

The preconditioned Newton-Krylov methods are used in many applications for computing efficiently the solution of large sparse systems of nonlinear equations. In this paper, we present a new choice of relaxation parameter in SSOR preconditioned Newton-Krylov method. In each iteration of Newton method, the optimal relaxation parameter can be computed by a new method.

关键词： Newton-Krylov methods preconditioning techniques Krylov subspace methods

作者: Jisheng Kou Huifang Zhu Xiuhua Wang

作者单位: Department of Mathematics, Shanghai University, Shanghai 200444, China Department of Mathematics, Xiaogan University, Xiaogan 432100, Hubei, China

会议类型: 国际会议

会议名称: The Third International Workshop on Applied Matriz Theory(第三届国际矩阵分析与应用会议)

会议地点: 杭州

会议语种:英文

页码: 657-661

在线出版日期: 2009-07-09（万方平台首次上网日期，不代表论文的发表时间）