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A family of derivative-free conjugate gradient methods for large-scale nonlinear systems of equations

机译:大型非线性方程组的一族无导数共轭梯度方法

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摘要

In this paper, we propose a family of derivative-free conjugate gradient methods for large-scale nonlinear systems of equations. They come from two modified conjugate gradient methods [W.Y. Cheng, A two term PRP based descent Method, Numer. Funct. Anal. Optim. 28 (2007) 1217-1230; L. Zhang, W.J. Zhou. D.H. Li, A descent modified Polak-Ribiere-Polyak conjugate gradient method and its global convergence, IMA J. Numer. Anal. 26 (2006) 629-640] recently proposed for unconstrained optimization problems. Under appropriate conditions, the global convergence of the proposed method is established. Preliminary numerical results show that the proposed method is promising. (C) 2008 Elsevier B.V. All rights reserved.
机译:在本文中,我们提出了一系列用于大型非线性方程组的无导数共轭梯度方法。它们来自两种改进的共轭梯度法[W.Y. Cheng,基于PRP的两个术语的下降方法,Numer。功能肛门最佳28(2007)1217-1230; L.张,W.J.周。 D.H. Li,后裔改进的Polak-Ribiere-Polyak共轭梯度方法及其全局收敛性,IMA J. Numer。肛门[26(2006)629-640]最近提出了无约束优化问题。在适当的条件下,建立了该方法的全局收敛性。初步数值结果表明,该方法是有前途的。 (C)2008 Elsevier B.V.保留所有权利。

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