This article studies the Minimum Spanning Tree Problem under Explorable Uncertainty as well as a related vertex uncertainty version of the problem. We particularly consider special instance types, including cactus graphs, for which we provide randomized algorithms. We introduce the problem of finding a minimum weight spanning star under uncertainty for which we show that no algorithm can achieve constant competitive ratio.
翻译:这篇文章研究了在可探索的不确定性下的最低跨越树木问题,以及与此相关的顶峰不确定性版本。我们特别考虑了特殊案例类型,包括仙人掌图,我们为此提供了随机算法。我们提出了在不确定性下找到一个最小跨越恒星的重量的问题,我们对此表明,任何算法都无法实现持续的竞争性比率。