| 解一般约束优化问题的牛顿法的超线性收敛性 |
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| 引用本文： | 陈加民,陈桂榕. 解一般约束优化问题的牛顿法的超线性收敛性[J]. 太原重型机械学院学报, 2010, 0(5): 396-398 |
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| 作者姓名： | 陈加民 陈桂榕 |
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| 作者单位： | 漳州吉马印刷职业技术学院,福建漳州363000 |
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| 摘 要： | 文献[2]提出了基于F-B函数的解一般约束优化规划问题的牛顿算法，但仅给出了该算法的全局收敛性。在该算法的基础上，进一步证明了该算法的超线性收敛性。
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| 关 键 词： | 一般约束优化问题 牛顿法 超线性收敛 |
Superlinear Convergence of Newton Algorithm for General Constrained Optimization Problem |
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| CHEN Jia-min,CHEN Gui-rong. Superlinear Convergence of Newton Algorithm for General Constrained Optimization Problem[J]. Journal of Taiyuan Heavy Machinery Institute, 2010, 0(5): 396-398 |
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| Authors: | CHEN Jia-min CHEN Gui-rong |
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| Affiliation: | ( Zhangzhou LucKy Horse Print College, Fujian Zhangzhou 363000, China) |
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| Abstract: | Then Literature [ 2 ] proposed the Newton problem, but this paper has only proved the global foundation,we prove the superlinear convergence of algorithm with F-B function for general constraint optimization conve-rgence of the algorithm. With the help of this method＇s the algorithm to go a step further. |
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| Keywords: | ：general constraint optimization Newton method superlinear convergence |
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