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Global convergence of a modified Hestenes-Stiefel nonlinear conjugate gradient method with Armijo line search

机译:修正的Hestenes-Stiefel非线性共轭梯度法与Armijo线搜索的全局收敛性

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摘要

In this article, based on the modified secant equation, we propose a modified Hestenes-Stiefel (HS) conjugate gradient method which has similar form as the CG-DESCENT method proposed by Hager and Zhang (SIAM J Optim 16:170–192, 2005). The presented method can generate sufficient descent directions without any line search. Under some mild conditions, we show that it is globally convergent with Armijo line search. Moreover, the R-linear convergence rate of the modified HS method is established. Preliminary numerical results show that the proposed method is promising, and competitive with the well-known CG-DESCENT method.
机译:在本文中,基于修正的割线方程,我们提出了一种修正的Hestenes-Stiefel(HS)共轭梯度法,其形式与Hager和Zhang提出的CG-DESCENT方法(SIAM J Optim 16:170–192,2005 )。所提出的方法可以产生足够的下降方向,而无需任何线搜索。在某些温和条件下,我们表明它与Armijo线搜索在全球收敛。此外,建立了改进的HS方法的R线性收敛速度。初步数值结果表明,所提出的方法是有希望的,并且与众所周知的CG-DESCENT方法具有竞争性。

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