首页> 外文期刊>Computational Optimization and Applications >A note on the global convergence theorem of the scaled conjugate gradient algorithms proposed by Andrei
【24h】

A note on the global convergence theorem of the scaled conjugate gradient algorithms proposed by Andrei

机译:关于Andrei提出的比例共轭梯度算法的全局收敛定理的注记

获取原文
       

摘要

In (Andrei, Comput. Optim. Appl. 38:402–416, 2007), the efficient scaled conjugate gradient algorithm SCALCG is proposed for solving unconstrained optimization problems. However, due to a wrong inequality used in (Andrei, Comput. Optim. Appl. 38:402–416, 2007) to show the sufficient descent property for the search directions of SCALCG, the proof of Theorem 2, the global convergence theorem of SCALCG, is incorrect. Here, in order to complete the proof of Theorem 2 in (Andrei, Comput. Optim. Appl. 38:402–416, 2007), we show that the search directions of SCALCG satisfy the sufficient descent condition. It is remarkable that the convergence analyses in (Andrei, Optim. Methods Softw. 22:561–571, 2007; Eur. J. Oper. Res. 204:410–420, 2010) should be revised similarly.
机译:在(Andrei,Comput。Optim。Appl。38:402-416,2007)中,提出了有效的比例缩放共轭梯度算法SCALCG,用于解决无约束优化问题。但是,由于在(Andrei,Comput。Optim。Appl。38:402-416,2007)中使用了不正确的不等式,以显示SCALCG的搜索方向具有足够的下降特性,因此定理2的证明, SCALCG,不正确。在这里,为了完成定理2的证明(Andrei,计算最优化应用,38:402-416,2007),我们证明了SCALCG的搜索方向满足充分的下降条件。值得注意的是,(Andrei,Optim。Methods Softw。22:561-571,2007; Eur。J. Oper。Res。204:410-420,2010)中的收敛性分析也应进行类似的修订。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号