Deterministic parameterized connected vertex cover (1202.6642v1)
Abstract: In the Connected Vertex Cover problem we are given an undirected graph G together with an integer k and we are to find a subset of vertices X of size at most k, such that X contains at least one end-point of each edge and moreover X induces a connected subgraph. For this problem we present a deterministic algorithm running in O(2k nO(1)) time and polynomial space, improving over previously best O(2.4882k nO(1)) deterministic algorithm and O(2k nO(1)) randomized algorithm. Furthermore, when usage of exponential space is allowed, we present an O(2k k(n+m)) time algorithm that solves a more general variant with arbitrary real weights. Finally, we show that in O(2k k(n + m)) time and O(2k k) space one can count the number of connected vertex covers of size at most k, which can not be improved to O((2 - eps)k nO(1)) for any eps > 0 under the Strong Exponential Time Hypothesis, as shown by Cygan et al. [CCC'12].