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Piecewise Partially Separable Functions and a Derivative-free Algorithm for Large Scale Nonsmooth Optimization

机译:大规模非光滑优化的分段部分可分离函数和无导数算法

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This paper introduces the notion of piecewise partially separable functions and studies their properties. We also consider some of many applications of these functions. Finally, we consider the problem of minimizing of piecewise partially separable functions and develop an algorithm for its solution. This algorithm exploits the structure of such functions. We present the results of preliminary numerical experiments.
机译:本文介绍了分段部分可分离函数的概念,并研究了它们的性质。我们还考虑了这些功能的许多应用。最后,我们考虑使分段部分可分离的函数最小化的问题,并开发一种求解算法。该算法利用了此类功能的结构。我们提出初步数值实验的结果。

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