
arXiv: 2105.00857
The Weighted $\mathcal{F}$-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 Weighted $\mathcal{F}$-Vertex Deletion. Only three cases of minor-closed ${\cal F}$ are known to admit constant-factor approximations, namely Vertex Cover, Feedback Vertex Set and Diamond Hitting Set. We study the problem for the class ${\cal F}$ of $θ_c$-minor-free graphs, under the equivalent setting of the 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, Paul, Sau, Saurabh, and Thomassé, SIDMA'14] which states the following: any graph $G$ containing a $θ_c$-minor-model either contains a large two-terminal protrusion, or contains a constant-size $θ_c$-minor-model, or a collection of pairwise disjoint 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 Weighted $\mathcal{F}$-Vertex Deletion, our result may be useful as a template for algorithms for other minor-closed families.
Accepted for publication to the Journal of Computer and System Sciences
FOS: Computer and information sciences, bonds in graphs, G.2.2, Signed and weighted graphs, primal-dual method, Primal-dual method, constant-factor approximation algorithms, Graph algorithms (graph-theoretic aspects), Computer Science - Data Structures and Algorithms, Analysis of algorithms, Data Structures and Algorithms (cs.DS), graph minors, F.2.2; G.2.2, Graph minors, Approximation algorithms, 004, Constant-factor approximation algorithms, Graph theory (including graph drawing) in computer science, F.2.2, Graph modification problems, Bonds in graphs, 05C35, 05C83, 05C85, 68R10, 68W25, graph modification problems, ddc: ddc:004
FOS: Computer and information sciences, bonds in graphs, G.2.2, Signed and weighted graphs, primal-dual method, Primal-dual method, constant-factor approximation algorithms, Graph algorithms (graph-theoretic aspects), Computer Science - Data Structures and Algorithms, Analysis of algorithms, Data Structures and Algorithms (cs.DS), graph minors, F.2.2; G.2.2, Graph minors, Approximation algorithms, 004, Constant-factor approximation algorithms, Graph theory (including graph drawing) in computer science, F.2.2, Graph modification problems, Bonds in graphs, 05C35, 05C83, 05C85, 68R10, 68W25, graph modification problems, ddc: ddc:004
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