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A nonmonotone PRP conjugate gradient method for solving square and under-determined systems of equations

机译:求解平方和欠定方程组的非单调PRP共轭梯度法

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In this paper, we propose a new derivative-free preconditioned conjugate gradient method in order for solving large-scale square and under-determined nonlinear systems of equations. The proposed method is also equipped with a relaxed nonmonotone line search technique. Under some suitable assumptions, the global convergence property is established. Numerical results on some square and under-determined test systems show the efficiency and effectiveness of the new method in practice. An application of the new method for solving nonlinear integro-differential equations is also provided. (C) 2016 Elsevier Ltd. All rights reserved.
机译:在本文中,我们提出了一种新的无导数预条件共轭梯度方法,用于求解大型平方和欠定的非线性方程组。所提出的方法还配备了宽松的非单调线搜索技术。在一些合适的假设下,建立了全局收敛性。在一些平方和不确定的测试系统上的数值结果表明,该新方法在实践中是有效的。还提供了求解非线性积分微分方程的新方法的应用。 (C)2016 Elsevier Ltd.保留所有权利。

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