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自选尺度因子拟Newton算法的几个重要性质
引用本文:陈宝林.自选尺度因子拟Newton算法的几个重要性质[J].清华大学学报(自然科学版),1996(2).
作者姓名:陈宝林
作者单位:清华大学应用数学系!北京100084
摘    要:DFP方法是一个很好的算法,有着广泛应用。但是,它对线搜索的精确性非常敏感。自选尺度拟Newton法可望对线搜索的不精确性及舍入误差有较低的灵敏性。文中介绍了这种算法。给出了关于正定性及二次终止性的几个定理及其严格的证明。

关 键 词:自选尺度  正定性  二次终止性

Several important properties of a self-scaling quasi-Newton algorithm
Chen Baolin.Several important properties of a self-scaling quasi-Newton algorithm[J].Journal of Tsinghua University(Science and Technology),1996(2).
Authors:Chen Baolin
Abstract:For solving an unconstrained problem, the DFP method is an excellent one. Nevertheless, it is highly sensitive to the accuracy of the line-search algorithm. A self- scaling quasi-Newton algorithm admits low sensitivity to line-search inaccuracy and roundoff errors. The author introduces this method and gives several theorems on the positive definiteness and quadratic termination property.
Keywords:self-scaling  positive definiteness  quadratic termination property
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