多项式函数非负性检验的SOS方法与Slack变量方法的比较:多变量情况

Masayuki Sato, D. Peaucelle
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引用次数: 9

摘要

本文讨论了多变量多项式函数非负性检验的平方和法与松弛变量法的比较。在比较这些方法的过程中,我们推导了一种新的使用多松弛变量的SV方法,它包含了之前提出的使用单个松弛变量的SV方法。得到的结果如下:对于无界情况,SOS方法与我们的新SV方法是等价的;对于有界情况,我们的新SV方法与SOS方法相比,随着决策变量数量的增加,其保守性更低。文中给出了几个数值例子来说明我们的结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison between SOS approach and Slack Variable approach for non-negativity check of polynomial functions: Multiple variable case
This note addresses the comparison between Sums-Of-Squares (SOS) approach and Slack Variable (SV) approach for the non-negativity check of multiple variable polynomial functions. In the process to compare these methods, we derive a new method of SV approach with use of multiple slack variables, which encompasses the previously proposed method of SV approach with use of a single slack variable. The obtained result is as follows: For the unbounded case, SOS approach and our new SV approach are equivalent; for the bounded case, our new SV approach is less conservative with increased number of decision variables compared to SOS approach. Several numerical examples are shown to illustrate our conclusions.
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