期刊文献+

改进的FR和PRP混合共轭梯度法

Improved FR and PRP conjugate gradient method
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摘要 通过逼近一个改进的三项共轭梯度法,得到一个新的混合共轭梯度方法,此方法在假设充分下降条件成立时对一般函数具有全局收敛性,最后说明充分下降假设的合理性. In this paper,a new hybrid conjugate gradient method is obtained by approximating an improved three conjugate gradient method.This method has global convergence for the general function when the sufficient descent condition is assumed.Finally,the rationality of this hypothesis is explained.
作者 陈恩 CHEN En(School of Mathematics Science, Chongqing Normal University, Chongqing 401331, China)
出处 《周口师范学院学报》 CAS 2017年第5期17-20,共4页 Journal of Zhoukou Normal University
基金 重庆市自然科学基金项目(No.cstc2015jcyjBX0029)
关键词 无约束优化问题 混合共轭梯度法 充分下降性 全局收敛性 unconstrained optimization problem mixed conjugate gradient method sufficient descent property global convergence
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