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Yan S. Couto

Publications and source records attributed to Yan S. Couto.

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Interval number for tournaments in P3-convexity

We study the complexity of determining the interval numbers of tournaments in the $\overrightarrow{P_3}$ and $\overrightarrow{P_3^*}$ convexities, denoted by $\overrightarrow{\mathrm{in}}_{P_3}(T)$ and $\overrightarrow{\mathrm{in}}_{P_3^*}(T)$ on a tournament $T$. For each $\overrightarrow{\mathcal{X}} \in \{\overrightarrow{P_3}, \overrightarrow{P_3^*}\}$, we show that determining whether $\overrightarrow{\mathrm{in}}_{\mathcal{X}}(T) \leq k$ is W[2]-complete when parameterized by $k$. Moreover, under ETH, we show that there is no parameterized algorithm for that problem with running time $f(k)\, n^{o(k)}$ on an $n$-vertex tournament, where $f$ is any computable function. For the $\overrightarrow{P_3}$-convexity, we also show that $\overrightarrow{\mathrm{in}}_{P_3}(T) = \mathcal{O}(\log n)$, which yields a simple quasi-polynomial $n^{\mathcal{O}(\log n)}$ brute-force algorithm. On the other hand, under ETH, we show that the problem is NP-intermediate, that is, it is neither NP-hard nor in P. For the $\overrightarrow{P_3^*}$-convexity, the same brute force algorithm is not quasi-polynomial, since we present a family of instances with $\overrightarrow{\mathrm{in}}_{P_3^*}(T) = Θ(n)$. We conjecture that this problem is NP-complete.

cs.CC

Hardness of Dynamic Core and Truss Decompositions

The k-core of a graph is its maximal subgraph with minimum degree at least k, and the core value of a vertex u is the largest k for which u is contained in the k-core of the graph. Among cohesive subgraphs, k-core and its variants have received a lot of attention recently, particularly on dynamic graphs, as reported by Hanauer, Henzinger, and Schulz in their recent survey on dynamic graph algorithms. We answer questions on k-core stated in the survey, proving that there is no efficient dynamic algorithm for k-core or to find (2 - ε)-approximations for the core values, unless we can improve decade-long state-of-the-art algorithms in many areas including matrix multiplication and satisfiability, based on the established OMv and SETH conjectures. Some of our results show that there is no dynamic algorithm for k-core asymptotically faster than the trivial ones. This explains why most recent research papers in this area focus not on a generic efficient dynamic algorithm, but on finding a bounded algorithm, which is fast when few core values change per update. However, we also prove that such bounded algorithms do not exist, based on the OMv conjecture. We present lower bounds also for a directed version of the problem, and for the edge variant of the problem, known as k-truss. On the positive side, we present a polylogarithmic dynamic algorithm for 2-core.

cs.DS