Exploring the Limits of Subadditive Approaches: Parallels between Optimization and Complexity Theory

Kenya Ueno
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Abstract

In this paper, we review subadditive approaches which arise in the theory of mathematical programming and computational complexity. In particular, we explain the duality theorem of integer programming and techniques to prove formula-size lower bounds as fundamental subjects in mathematical programming and computational complexity, respectively. We discuss parallel visions of these two different areas by showing some connections between them.
探索次加性方法的极限:优化与复杂性理论的相似之处
本文综述了数学规划和计算复杂性理论中出现的次加性方法。特别地,我们分别解释了整数规划的对偶定理和证明公式大小下界的技术,作为数学规划和计算复杂性的基础学科。我们通过展示它们之间的一些联系来讨论这两个不同领域的平行愿景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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