Approximating Highly Inapproximable Problems on Graphs of Bounded Twin-Width
Pierre Berg\'e, \'Edouard Bonnet, Hugues D\'epr\'es, R\'emi Watrigant

TL;DR
This paper introduces polynomial-time approximation algorithms for hard problems like Max Independent Set on graphs of bounded twin-width, establishing a trade-off between approximation quality and computational time, and exploring the limits of such approximations.
Contribution
It provides the first in-depth approximation algorithms for problems on graphs of bounded twin-width, including a novel trade-off framework and hardness insights.
Findings
Polynomial-time $n^ extless{}varepsilon extgreater{}$-approximation for Max Independent Set.
Time-approximation trade-off established with algorithms for various problems.
Limitations shown for approximating certain problems like Min Independent Dominating Set.
Abstract
For any , we give a polynomial-time -approximation algorithm for Max Independent Set in graphs of bounded twin-width given with an -sequence. This result is derived from the following time-approximation trade-off: We establish an -approximation algorithm running in time , for every integer . Guided by the same framework, we obtain similar approximation algorithms for Min Coloring and Max Induced Matching. In general graphs, all these problems are known to be highly inapproximable: for any , a polynomial-time -approximation for any of them would imply that PNP [Hastad, FOCS '96; Zuckerman, ToC '07; Chalermsook et al., SODA '13]. We generalize the algorithms for Max Independent Set and Max Induced Matching to the independent (induced) packing of any fixed…
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