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An approach to constrained polynomial optimization via nonnegative circuit polynomials and geometric programming

机译:非负电路多项式和几何规划的约束多项式优化方法

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In this article we combine two developments in polynomial optimization. On the one hand, we consider nonnegativity certificates based on sums of nonnegative circuit polynomials, which were recently introduced by the second and the third author. On the other hand, we investigate geometric programming methods for constrained polynomial optimization problems, which were recently developed by Ghasemi and Marshall. We show that the combination of both results yields a new method to solve certain classes of constrained polynomial optimization problems. We test the new method experimentally and compare it to semidefinite programming in various examples. (C) 2018 Published by Elsevier Ltd.
机译:在本文中,我们结合了多项式优化的两个发展。一方面,我们根据第二和第三作者最近提出的非负电路多项式之和来考虑非负证书。另一方面,我们研究了由Ghasemi和Marshall最近开发的用于约束多项式优化问题的几何规划方法。我们表明,两个结果的组合产生了一种解决某些类型的约束多项式优化问题的新方法。我们通过实验测试了该新方法,并在各种示例中将其与半定程序进行了比较。 (C)2018由Elsevier Ltd.发布

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