Constant Number Of Vertices Research Articles

Approximation Algorithm and FPT Algorithm for Connected-k-Subgraph Cover on Minor-Free Graphs

AbstractGiven a graph G, the minimum Connected-k-Subgraph Cover problem (MinCkSC) is to find a minimum vertex subset C of G such that every connected subgraph of G on k vertices has at least one vertex in C. If furthermore the subgraph of G induced by C is connected, then the problem is denoted as MinCkSC $_{con}$ . In this paper, we first present a PTAS for MinCkSC on an H-minor-free graph, where H is a graph with a constant number of vertices. Then, we design an $O((\omega+1)(2(k-1)(\omega+2))^{3\omega+3})|V|$ -time FPT algorithm for MinCkSC $_{con}$ on a graph with treewidth $\omega$ , based on which we further design an $O(2^{O(\sqrt{t}\log t)}|V|^{O(1)})$ time subexponential FPT algorithm for MinCkSC $_{con}$ on an H-minor-free graph, where t is an upper bound of solution size.

A PTAS for Euclidean TSP with Hyperplane Neighborhoods

In the Traveling Salesperson Problem with Neighborhoods (TSPN), we are given a collection of geometric regions in some space. The goal is to output a tour of minimum length that visits at least one point in each region. Even in the Euclidean plane, TSPN is known to be APX-hard [27{, which gives rise to studying more tractable special cases of the problem. In this article, we focus on the fundamental special case of regions that are hyperplanes in the d -dimensional Euclidean space. This case contrasts the much-better understood case of so-called fat regions [20, 40{. While for d = 2, an exact algorithm with a running time of O(n 5 ) is known [34{, settling the exact approximability of the problem for d = 3 has been repeatedly posed as an open question [29, 30, 40, 47{. To date, only an approximation algorithm with guarantee exponential in d is known [30{, and NP-hardness remains open. For arbitrary fixed d , we develop a Polynomial Time Approximation Scheme (PTAS) that works for both the tour and path version of the problem. Our algorithm is based on approximating the convex hull of an optimal tour by a convex polytope of bounded complexity. After enumerating a number of structural properties of these polytopes, a linear program finds one of them that minimizes the length of the tour. As the approximation guarantee approaches 1, our scheme adjusts the complexity of the considered polytopes accordingly. In the analysis of our approximation scheme, we show that our search space includes a sufficiently good approximation of the optimum. To do so, we develop a novel and general sparsification technique that transforms an arbitrary convex polytope into one with a constant number of vertices, and, subsequently, into one of bounded complexity in the above sense. We show that this transformation does not increase the tour length by too much, while the transformed tour visits any hyperplane that it visited before the transformation.

Kernels for (Connected) Dominating Set on Graphs with Excluded Topological Minors

We give the first linear kernels for the D ominating S et and C onnected D ominating S et problems on graphs excluding a fixed graph H as a topological minor. In other words, we prove the existence of polynomial time algorithms that, for a given H -topological-minor-free graph G and a positive integer k , output an H -topological-minor-free graph G ′ on O ( k ) vertices such that G has a (connected) dominating set of size k if and only if G ′ has one. Our results extend the known classes of graphs on which the D ominating S et and C onnected D ominating S et problems admit linear kernels. Prior to our work, it was known that these problems admit linear kernels on graphs excluding a fixed apex graph H as a minor. Moreover, for D ominating S et , a kernel of size k c ( H ) , where c ( H ) is a constant depending on the size of H , follows from a more general result on the kernelization of D ominating S et on graphs of bounded degeneracy. Alon and Gutner explicitly asked whether one can obtain a linear kernel for D ominating S et on H -minor-free graphs. We answer this question in the affirmative and in fact prove a more general result. For C onnected D ominating S et no polynomial kernel even on H -minor-free graphs was known prior to our work. On the negative side, it is known that C onnected D ominating S et on 2-degenerated graphs does not admit a polynomial kernel unless coNP ⊆ NP/poly. Our kernelization algorithm is based on a non-trivial combination of the following ingredients • The structural theorem of Grohe and Marx [STOC 2012] for graphs excluding a fixed graph H as a topological minor; • A novel notion of protrusions, different than the one defined in [FOCS 2009]; • Our results are based on a generic reduction rule that produces an equivalent instance (in case the input graph is H -minor-free) of the problem, with treewidth O (√ k ). The application of this rule in a divide-and-conquer fashion, together with the new notion of protrusions, gives us the linear kernels. A protrusion in a graph [FOCS 2009] is a subgraph of constant treewidth which is separated from the rest of the graph by at most a constant number of vertices. In our variant of protrusions, instead of stipulating that the subgraph be of constant treewidth , we ask that it contains a constant number of vertices from a solution . We believe that this new take on protrusions would be useful for other graph problems and in different algorithmic settings.

Bicyclic graphs with extremal values of PI index

We give sharp lower and upper bounds on the PI index of connected bicyclic graphs with constant number of vertices and characterize the case of equality for both bounds.

Investigation on Visualization, Analysis, and Control of Complex Networks Dynamics

In this article the authors discuss a new method of the so-called complex networks dynamics and its visualization by means of so called coupled map lattices method. The main aim of this article is to investigate whether it is possible to visualize complex network dynamics by means of the same method that is used to model spatiotemporal chaos. The authors suggest using coupled map lattices system to simulate complex network so that each site is equal to one vertex of complex network. Interaction between network vertices is in coupled map lattices equal to the strength of mutual influence between system sites. To promote their ideas, two kinds of complex networks dynamics has been selected for visualization, i.e., network with increasing number of vertices and network with constant number of vertices. All results have been properly visualized and explained.

Minimum degree thresholds for bipartite graph tiling

For any bipartite graph $H$, we determine a minimum degree threshold for a balanced bipartite graph $G$ to contain a perfect $H$-tiling. We show that this threshold is best possible up to a constant depending only on $H$. Additionally, we prove a corresponding minimum degree threshold to guarantee that $G$ has an $H$-tiling missing only a constant number of vertices. Our threshold for the perfect tiling depends on either the chromatic number $\chi(H)$ or the critical chromatic number $\chi_{cr}(H)$ while the threshold for the almost perfect tiling only depends on $\chi_{cr}(H)$. Our results answer two questions of Zhao. They can be viewed as bipartite analogs to the results of Kuhn and Osthus and of Shokoufandeh and Zhao.

Packings in Dense Regular Graphs

We prove that for all $\alpha,c>0$ and for all bipartite graphs $H$, all but at most $\alpha n$ vertices of every $cn$-regular graph $G$ whose order $n$ is sufficiently large can be covered by vertex-disjoint copies of $H$. If the vertex classes of $H$ have different size, then even all but a constant number of vertices of $G$ can be covered. This implies that for all $c>0$ and all $r\geq 4$ there exists a constant $C$ such that, in every $cn$-regular graph $G$, all but at most $C$ vertices can be covered by vertex-disjoint subdivisions of $K_r$. We also show that for $r=4,5$ one can take $C=0$.