FPT Approximations for Connected Maximum Coverage
By: Tanmay Inamdar , Satyabrata Jana , Madhumita Kundu and more
Potential Business Impact:
Finds connected groups to cover the most things.
We revisit connectivity-constrained coverage through a unifying model, Partial Connected Red-Blue Dominating Set. Given a red-blue bipartite graph $G$ and an auxiliary connectivity graph $G_{conn}$ on red vertices, and integers $k, t$, the task is to find a $k$-sized subset of red vertices that dominates at least $t$ blue vertices, and that induces a connected subgraph in $G_{conn}$. This formulation captures connected variants of Max Coverage, Partial Dominating Set, and Partial Vertex Cover studied in prior literature. After identifying (parameterized) inapproximability results inherited from known problems, we first show that the problem is fixed-parameter tractable by $t$. Furthermore, when the bipartite graph excludes $K_{d,d}$ as a subgraph, we design (resp. efficient) parameterized approximation schemes for approximating $t$ (resp. $k$). Notably, these FPT approximations do not impose any restrictions on $G_{conn}$. Together, these results chart the boundary between hardness and FPT-approximability for connectivity-constrained coverage.
Similar Papers
Approximations for Fault-Tolerant Total and Partial Positive Influence Domination
Data Structures and Algorithms
Makes computer networks more reliable when parts fail.
Solving Partial Dominating Set and Related Problems Using Twin-Width
Data Structures and Algorithms
Solves hard computer puzzles faster using graph structure.
Approximation and parameterized algorithms for covering disjointness-compliable set families
Data Structures and Algorithms
Finds better ways to connect points in networks.