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SEARCH FOR STATIONARY POINTS OF ARBITRARY INDEX BY AUGMENTED HESSIAN METHOD

机译:用增强的Hessian方法搜索任意指数的平稳点

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Convergence properties of the augmented Hessian (AH) method when searching for stationary points of an arbitrary fixed index are investigated. It is shown that the displacement vector of this method is proportional to one of the Hessian eigenvectors if the current point is far from a stationary one of the required index. A simple and reliable criterion for nearness of the current point to a stationary one of the desired index is proposed. The efficiency of a new one-dimensional optimization scheme that uses this criterion is studied. The case of coincidence of Hessian eigenvalues, which is a bottleneck of the standard AH method, is analyzed. A relation of the AH method to those by Poppinger and Wales is outlined. The correctness of the results obtained is illustrated on an example of a model surface. (c) 1995 John Wiley and Sons, Inc. [References: 24]
机译:研究了在搜索任意固定索引的固定点时,增强型Hessian(AH)方法的收敛性。结果表明,如果当前点距离所需索引的平稳点远,则此方法的位移向量与Hessian特征向量之一成比例。提出了一种简单可靠的标准,用于确定当前点与所需指标的稳定点之间的接近度。研究了使用此准则的新一维优化方案的效率。分析了黑森特征值重合的情况,这是标准AH方法的瓶颈。概述了AH方法与Poppinger和Wales的方法之间的关系。在模型表面的示例中说明了获得的结果的正确性。 (c)1995年John Wiley and Sons,Inc. [参考:24]

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