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Derivative-free restrictively preconditioned conjugate gradient path method without line search technique for solving linear equality constrained optimization

机译:无导数的无导数限制性预处理共轭梯度路径方法,求解线性等式约束优化

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摘要

In this paper, we propose a derivative-free restrictively preconditioned conjugate gradient path method without line search technique for solving linear equality constrained optimization. This method originates from the classical conjugate gradient method and its restrictively preconditioned variant. The preconditioned conjugate gradient path is obtained by solving extended system of the preconditioned equation with restrictively preconditioned conjugate gradient method which is a more robust and effective technique to solve large sparse linear system. The global convergence and local superlinear convergence rate of the proposed method are established under some reasonable conditions. Finally, the numerical results are reported to show the effectiveness of the proposed method. (C) 2016 Elsevier Ltd. All rights reserved.
机译:在本文中,我们提出了一种无需线搜索技术的无导数限制性预处理共轭梯度路径方法,用于求解线性等式约束优化。此方法源自经典的共轭梯度法及其限制性预处理的变体。预处理共轭梯度路径是通过使用限制性预处理共轭梯度方法求解预处理方程的扩展系统而获得的,这是解决大型稀疏线性系统的一种更强大且有效的技术。在一定合理条件下,建立了该方法的全局收敛性和局部超线性收敛率。最后,数值结果表明该方法是有效的。 (C)2016 Elsevier Ltd.保留所有权利。

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