On the strength of recursive McCormick relaxations for binary polynomial optimization
نویسندگان
چکیده
Recursive McCormick relaxations are among the most popular convexification techniques for binary polynomial optimization. It is well-understood that both quality and size of these depend on recursive sequence finding an optimal amounts to solving a difficult combinatorial optimization problem. We prove any relaxation implied by extended flower relaxation, linear programming which problems with fixed degree can be solved in strongly time.
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ژورنال
عنوان ژورنال: Operations Research Letters
سال: 2023
ISSN: ['0167-6377', '1872-7468']
DOI: https://doi.org/10.1016/j.orl.2023.01.009