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A note on semidefinite relaxation for 0-1 quadratic knapsack problems

机译:关于0-1二次背包问题的半定松弛的一个注记

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摘要

We investigate in this note solution properties of semidefinite programming (SDP) relaxation for 0-1 quadratic knapsack problem (QKP). In particular, we focus on the issue of uniqueness of the optimal solution to the SDP relaxation for QKP. We first give a counterexample which shows that the optimal solution to the SDP relaxation for QKP could be non-unique. This is in contrast with the case of unconstrained 0-1 quadratic problems. A necessary and sufficient condition is then derived to ensure the uniqueness of the optimal solution to the SDP relaxation for QKP.
机译:我们在本笔记中研究0-1二次背包问题(QKP)的半定规划(SDP)松弛的解性质。尤其是,我们专注于针对QKP的SDP松弛的最佳解决方案的唯一性问题。我们首先给出一个反例,表明针对QKP的SDP松弛的最佳解决方案可能是唯一的。这与无约束的0-1二次问题的情况相反。然后得出一个必要和充分的条件,以确保针对QKP的SDP松弛的最佳解决方案的唯一性。

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