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PARAMETERIZED APPROXIMATION SCHEMES FOR STEINER TREES WITH SMALL NUMBER OF STEINER VERTICES

机译:具有少量施坦纳顶点的施蒂纳树的参数化近似方案

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We study the Steiner Tree problem, in which a set of terminal vertices needs to be connected in the cheapest possible way in an edge-weighted graph. This problem has been extensively studied from the viewpoint of approximation and also parameterization. In particular, on one hand Steiner Tree is known to be APX-hard, and W[2]-hard on the other, if parameterized by the number of nonterminals (Steiner vertices) in the optimum solution. In contrast to this, we give an efficient parameterized approximation scheme (EPAS), which circumvents both hardness results. Moreover, our methods imply the existence of a polynomial size approximate kernelization scheme (PSAKS) for the considered parameter. We further study the parameterized approximability of other variants of Steiner Tree, such as Directed Steiner Tree and Steiner Forest. For none of these is an EPAS likely to exist for the studied parameter. For Steiner Forest an easy observation shows that the problem is APX-hard, even if the input graph contains no Steiner vertices. For Directed Steiner Tree we prove that approximating within any function of the studied parameter is W[1]-hard. Nevertheless, we show that an EPAS exists for Unweighted Directed Steiner Tree, but a PSAKS does not. We also prove that there is an EPAS and a PSAKS for Steiner Forest if in addition to the number of Steiner vertices, the number of connected components of an optimal solution is considered to be a parameter.
机译:我们研究了Steiner树问题,其中一组终端顶点需要以最便宜的方式以边缘加权图形连接。从近似的角度和参数化的观点出发,已经广泛研究了这个问题。特别地,在一方面,已知施坦纳树是APX-Hard,而W [2] - 另一个,如果由最佳解决方案中的非终端(Steiner顶点)的数量参数化。与此相反,我们提供了一种有效的参数化近似方案(EPA),其避免了硬度结果。此外,我们的方法意味着存在于所考虑的参数的多项式大小近似内核方案(PSAK)。我们进一步研究了Steiner树的其他变体的参数化近似性,例如指导的施泰纳树和施泰纳林。因为这些都不是可能存在于研究参数的EPA。对于Steiner Forest,一个简单的观察表明,即使输入图不包含施坦纳顶点,问题也是硬质的。对于指向的施泰纳树,我们证明了在研究参数的任何功能内的近似值是W [1]。尽管如此,我们表明,对于未加权的指导的施泰纳树,欧盟央行表现出,而且PSAK不存在。如果除了施泰纳顶点的数量之外,我们还证明了斯坦纳森林的ePA和PSAKS,最佳解决方案的连接组件的数量被认为是参数。

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