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Semidefinite programming vs. LP relaxations for polynomial programming

机译:半定式编程与LP松弛进行多项式编程

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摘要

We consider the global minimization of a multivariate polynomial on a semi-algebraic set Omega defined with polynomial inequalities. We then compare two hierarchies of relaxations, namely, LP relaxations based on products of the original constraints, in the spirit of the RLT procedure of Sherali and Adams (1990), and recent semidefinite programming (SDP) relaxations introduced by the author. The comparison is analyzed in light of recent results in real algebraic geometry on various representations of polynomials, positive on a compact semi-algebraic set. [References: 32]
机译:我们考虑用多项式不等式定义的半代数集Omega上的多元多项式的全局最小化。然后,我们按照Sherali和Adams(1990)的RLT程序的精神,比较了松弛的两个层次结构,即基于原始约束的乘积的LP松弛,以及作者介绍的最近的半定规划(SDP)松弛。根据对多项式的各种表示形式的实数代数几何的最新结果进行分析,在紧凑的半代数集上为正。 [参考:32]

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