A Polynomial-Time Approximation Algorithm for Complete Interval Minors

May 09, 2025 Β· Declared Dead Β· πŸ› International Workshop and International Workshop on Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques

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Authors Romain Bourneuf, Julien Cocquet, Chaoliang Tang, StΓ©phan ThomassΓ© arXiv ID 2505.05997 Category cs.DS: Data Structures & Algorithms Cross-listed cs.DM, math.CO Citations 0 Venue International Workshop and International Workshop on Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques Last Checked 5 months ago
Abstract
As shown by Robertson and Seymour, deciding whether the complete graph $K_t$ is a minor of an input graph $G$ is a fixed parameter tractable problem when parameterized by $t$. From the approximation viewpoint, the gap to fill is quite large, as there is no PTAS for finding the largest complete minor unless $P = NP$, whereas a polytime $O(\sqrt n)$-approximation algorithm was given by Alon, Lingas and WahlΓ©n. We investigate the complexity of finding $K_t$ as interval minor in ordered graphs (i.e. graphs with a linear order on the vertices, in which intervals are contracted to form minors). Our main result is a polytime $f(t)$-approximation algorithm, where $f$ is triply exponential in $t$ but independent of $n$. The algorithm is based on delayed decompositions and shows that ordered graphs without a $K_t$ interval minor can be constructed via a bounded number of three operations: closure under substitutions, edge union, and concatenation of a stable set. As a byproduct, graphs avoiding $K_t$ as an interval minor have bounded chromatic number.
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