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Embedding Complexity and Discrete Optimization II: A Dynamical Programming Approach to the Steiner-Tree Problem

机译:嵌入复杂度和离散优化II:Steiner-Tree问题的动态规划方法

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In this note, we continue our work devoted to investigating the concept of embedding complexity (cf. Cieslik et al. [3]) and present a new Divide and Conquer algorithm for solving the Steiner-tree problem for graphs that relies on dynamic-programming schemes. In this way,we show how the rather general conceptual framework developed in our previous paper can be used even in rather awkward situations and that, more specifically, it allows us to design a treewidthbased algorithm for finding Steiner trees in a (weighted or unweighted) graph that is linear with respect to the number of the graph's vertices, yet (as we cannot avoid paying the “standard fine” set on using treewidth-based algorithms) highly exponential with respect to the graph's treewidth.
机译:在本说明中,我们将继续致力于研究复杂度嵌入的概念(参见Cieslik等人[3]),并提出一种新的分而治之算法,用于解决依赖于动态编程的图形的Steiner-tree问题。计划。这样,我们展示了即使在相当尴尬的情况下,也可以使用前一篇论文中开发的相当通用的概念框架,更具体地说,它允许我们设计一种基于树宽的算法来查找(加权或未加权)Steiner树。相对于图的顶点数呈线性关系的图,但是(因为我们不可避免地要支付使用基于树宽的算法设置的“标准罚款”),所以图的树宽相对于指数高。

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