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

被引:19
|
作者
Dressler, Mareike [1 ]
Iliman, Sadik
de Wolff, Timo [2 ]
机构
[1] Goethe Univ, FB Inst Math 12, Postfach 11 19 32, D-60054 Frankfurt, Germany
[2] Tech Univ Berlin, Inst Math, Str 17 Juni 136, D-10623 Berlin, Germany
关键词
Certificate; Geometric programming; Nonnegative polynomial; Semidefinite programming; Sum of nonnegative circuit polynomials; Sum of squares; Triangulation; LOWER BOUNDS; GLOBAL OPTIMIZATION; SUMS; SQUARES; FORMS;
D O I
10.1016/j.jsc.2018.06.018
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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.
引用
收藏
页码:149 / 172
页数:24
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