Emergent Mind

A Constant-factor Approximation for Weighted Bond Cover

(2105.00857)
Published May 3, 2021 in cs.DS

Abstract

The {\sc Weighted} $\mathcal{F}$-\textsc{Vertex Deletion} for a class ${\cal F}$ of graphs asks, weighted graph $G$, for a minimum weight vertex set $S$ such that $G-S\in{\cal F}.$ The case when ${\cal F}$ is minor-closed and excludes some graph as a minor has received particular attention but a constant-factor approximation remained elusive for \textsc{Weighted} $\mathcal{F}$-{\sc Vertex Deletion}. Only three cases of minor-closed ${\cal F}$ are known to admit constant-factor approximations, namely \textsc{Vertex Cover}, \textsc{Feedback Vertex Set} and \textsc{Diamond Hitting Set}. We study the problem for the class ${\cal F}$ of $\thetac$-minor-free graphs, under the equivalent setting of the \textsc{Weighted $c$-Bond Cover} problem, and present a constant-factor approximation algorithm using the primal-dual method. For this, we leverage a structure theorem implicit in [Joret et al., SIDMA'14] which states the following: any graph $G$ containing a $\thetac$-minor-model either contains a large two-terminal {\sl protrusion}, or contains a constant-size $\theta_c$-minor-model, or a collection of pairwise disjoint {\sl constant-sized} connected sets that can be contracted simultaneously to yield a dense graph. In the first case, we tame the graph by replacing the protrusion with a special-purpose weighted gadget. For the second and third case, we provide a weighting scheme which guarantees a local approximation ratio. Besides making an important step in the quest of (dis)proving a constant-factor approximation for \textsc{Weighted} $\mathcal{F}$-\textsc{Vertex Deletion}, our result may be useful as a template for algorithms for other minor-closed families.

We're not able to analyze this paper right now due to high demand.

Please check back later (sorry!).

Generate a summary of this paper on our Pro plan:

We ran into a problem analyzing this paper.

Newsletter

Get summaries of trending comp sci papers delivered straight to your inbox:

Unsubscribe anytime.