The graph burning problem is an NP-Hard optimization problem that may be used to model social contagion and the sequential spread of information on simple graphs. This paper introduces a simple approximation algorithm for the graph burning problem over general graphs. The approximation factor of this algorithm is 3-2/b(G), where b(G) is the size of an optimal solution. The proposed algorithm is based on farthest-first traversal, it is easy to implement, and according to a brief empirical analysis, it generates competitive solutions.
翻译:图形燃烧问题是一个NP-Hard优化问题,可以用它来模拟社会传染和简单图表上信息的相继传播。本文介绍了图形燃烧问题的简单近似算法,比一般图表要简单。这一算法的近似系数是3-2/b(G),其中b(G)是最佳解决方案的大小。提议的算法基于最远的第一次曲折,实施起来容易,根据简短的经验分析,它产生竞争性解决方案。