Polylogarithmic Approximation Algorithms for Weighted-$\mathcal{F}$-Deletion Problems
Akanksha Agrawal, Daniel Lokshtanov, Pranabendu Misra, Saket Saurabh,, Meirav Zehavi

TL;DR
This paper introduces a recursive scheme to develop polylogarithmic approximation algorithms for weighted graph deletion problems, achieving new bounds for specific graph classes like chordal and distance hereditary graphs.
Contribution
It presents the first polylogarithmic approximation algorithms for weighted -vertex deletion problems, extending techniques to broader graph families and improving approximation factors.
Findings
O( extsuperscript{2})-factor approximation for Weighted Chordal Vertex Deletion
O( extsuperscript{3})-factor approximation for Weighted Distance Hereditary Vertex Deletion
A extsuperscript{1.5}-approximation for -vertex deletion in minor-closed families excluding a planar graph
Abstract
For a family of graphs , the canonical Weighted Vertex Deletion problem is defined as follows: given an -vertex undirected graph and a weight function , find a minimum weight subset such that belongs to . We devise a recursive scheme to obtain -approximation algorithms for such problems, building upon the classic technique of finding balanced separators in a graph. Roughly speaking, our scheme applies to problems where an optimum solution , together with a well-structured set , form a balanced separator of . We obtain the first -approximation algorithms for the following problems. * We give an -factor approximation algorithm for Weighted Chordal Vertex Deletion (WCVD), the vertex deletion problem to the family of chordal graphs. On the way, we…
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