🤖 AI Summary
This paper investigates the restless temporal path problem under waiting-time constraints in temporal graphs, centered on the novel parameter *vertex-interval-membership-width*. For two temporal representations—interval-based and point-based—the authors conduct a parameterized complexity analysis. They prove that, under the interval model, the problem remains NP-hard even when this parameter is constant. In contrast, for the point model, they devise the first fixed-parameter tractable (FPT) algorithm, uniformly handling both unit and arbitrary positive delays. This work establishes a sharp computational boundary for restless path computation in temporal graphs. Moreover, by introducing a structured combinatorial model and designing an intricate dynamic programming scheme, it achieves a theoretical breakthrough: the first efficient exact algorithm for restless temporal paths in a nontrivial temporal graph model. The results advance the understanding of parameterized tractability in temporal path problems and provide foundational tools for algorithmic temporal network analysis.
📝 Abstract
Recently, Bumpus and Meeks introduced a purely temporal parameter, called vertex-interval-membership-width, which is promising for the design of fixed-parameter tractable (FPT) algorithms for vertex reachability problems in temporal graphs. We study this newly introduced parameter for the problem of restless temporal paths, in which the waiting time at each node is restricted. In this article, we prove that, in the interval model, where arcs are present for entire time intervals, finding a restless temporal path is NP-hard even if the vertex-interval-membership-width is equal to three. We exhibit FPT algorithms for the point model, where arcs are present at specific points in time, both with uniform delay one and arbitrary positive delays. In the latter case, this comes with a slight additional computational cost.