Non-submodular Optimization and Non-convex Relaxation
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.