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In this paper, a new class of memoryless non-quasi-Newton method for solving unconstrained optimization problems is proposed, and the global convergence of this method with inexact line search is proved. Furthermore, we propose a hybrid method that mixes both the memoryless non-quasi-Newton method and the memoryless Perry-Shanno quasi-Newton method. The global convergence of this hybrid memoryless method is proved under mild assumptions. The initial results show that these new methods are efficient for the given test problems. Especially the memoryless non-quasi-Newton method requires little storage and computation, so it is able to efficiently solve large scale optimization problems. 相似文献
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玻璃纤维增强MC尼龙复合材料的摩擦磨损性能研究 总被引:9,自引:0,他引:9
通过碱催化阴离子聚合反应制备玻璃纤维增强单体浇铸尼龙复合材料(GFMCPA),在MM-200型摩擦磨损试验机上研究了在干摩擦和水润滑条件下,不同玻璃纤维含量对尼龙复合材料摩擦磨损特性的影响,并借助扫描电子显微镜观察其磨损表面形貌.结果表明:玻璃纤维含量对尼龙复合材料的摩擦性能具有显著影响;玻璃纤维质量分数达到30%后复合材料具有较好的耐磨性;在水润滑条件下,复合材料的摩擦系数和磨损量较干摩擦时大幅度降低;玻璃纤维含量低的尼龙复合材料的磨损机制主要为粘着磨损和磨粒磨损;玻璃纤维含量高的尼龙复合材料的粘着磨损减少,磨损机制主要表现为磨粒磨损和疲劳磨损. 相似文献
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提出一类求解无约束最优化问题的混合共轭梯度算法,新算法有机地结合了DY算法和HS算法的优点,并采用非单调线搜索技术在较弱条件下证明了算法的全局收敛性.数值实验表明新算法具有良好的计算效能. 相似文献
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