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K-Best Solutions of MSO Problems on Tree-Decomposable Graphs

机译:树可分解图上MSO问题的K-最佳解

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We show that, for any graph optimization problem in which the feasible solutions can be expressed by a formula in monadic second-order logic describing sets of vertices or edges and in which the goal is to minimize the sum of the weights in the selected sets, we can find the k best solution values for n-vertex graphs of bounded treewidth in time O(n + k log n). In particular, this applies to finding the k shortest simple paths between given vertices in directed graphs of bounded treewidth, giving an exponential speedup in the per-path cost over previous algorithms.
机译:我们显示出,对于任何图形优化问题,其中可行的解决方案都可以用一元二阶逻辑中的一个公式来描述顶点或边的集合,并且其目的是最小化所选集合中权重的总和,我们可以在时间O(n + k log n)中找到有界树宽的n个顶点图的k个最佳解值。特别是,这适用于在有界树宽的有向图中找到给定顶点之间的k条最短的简单路径,从而使每条路径的成本比以前的算法有指数级的提高。

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