This paper proposes the optimization problem Non-Monotone Submodular Cover (SCP), which is to minimize the cost required to ensure that a non-monotone submodular benefit function exceeds a given threshold. Two algorithms are presented for SCP that both give a bicriteria approximation guarantee to the problem. Both algorithms process the ground set in a stream, one in multiple passes. Further, a bicriteria approximation algorithm is given for the related Non-Monotone Submodular Maximization subject to a knapsack constraint optimization problem.
翻译:本文建议了优化问题非分子子模块覆盖(SCP),即最大限度地降低确保非分子子模块惠益功能超过某一阈值所需的成本。 SCP使用两种算法,两种算法都为问题提供双标准近似保证。两种算法都处理流中设定的地面,一种在多个通道中。此外,还给出了相关的非分子子模块最大化的双标准近似算法,但受Knapsack限制优化问题的影响。