The Path Contraction and Cycle Contraction problems take as input an undirected graph G with n vertices, m edges and an integer k and determine whether one can obtain a path or a cycle, respectively, by performing at most k edge contractions in G. We revisit these NP-complete problems and prove the following results.
- •Path Contraction admits an -time algorithm. This improves over the current fastest parameterized algorithm known for the problem (Heggernes et al. (2014) [15]).
- •Cycle Contraction admits an -time algorithm where and decreases as increases.
- •Path Contraction on planar graphs admits a polynomial-time algorithm.
- •Path Contraction on chordal graphs does not admit an -time algorithm for any , under the Orthogonal Vectors Conjecture. Here, tw is the treewidth of the input graph.
路径收缩和循环收缩问题以无向图G为输入,该无向图G有n个顶点,m条边和整数k,并确定是否可以分别通过在G中执行最多k次边收缩来获得路径或循环。我们重新讨论这些np完全问题并证明了以下结果。•路径收缩允许一个O (2k)时间算法。这比目前已知的最快的参数化算法有所改进(Heggernes et al.(2014)[15])。•循环收缩允许一个O ((2+ λ)k)时间算法,其中0<; λ≤0.5509,且λ随着λ =n−k的增加而减小。这些结果的核心是路径收缩的一般变体的算法,即带约束端点的路径收缩。我们还给出了一个O (2.5191n)时间的算法来解决循环收缩的优化版本。接下来,我们将注意力转向受限制的图类,并显示以下结果。•平面图上的路径收缩允许一个多项式时间算法。•对于任何ϵ>;0,在正交向量猜想下,弦图上的路径收缩不允许O(n2−λ·2o(tw))时间算法。这里,tw是输入图的树宽。第二个结果补充了O(nm)时间,即O(n2⋅tw)时间,已知的问题算法(Heggernes et al.(2014)[16])。
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