Usually, non-submodular optimization problems are NP-hard. Therefore, design and analysis of approximation algorithms are important tasks in the study of non-submodular optimizations. However, the traditional methods do not work well. In this article, we give an extensive survey for recent developments in this research direction.

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Non-submodular Optimization and Non-convex Relaxation

  • Weili Wu,
  • Zhao Zhang,
  • Wei Li,
  • Ding-Zhu Du

摘要

Usually, non-submodular optimization problems are NP-hard. Therefore, design and analysis of approximation algorithms are important tasks in the study of non-submodular optimizations. However, the traditional methods do not work well. In this article, we give an extensive survey for recent developments in this research direction.