Packing Compact Subgraphs with Applications to Districting
Ho-Lin Chen, Po-Yu Chou, Prathamesh Dharangutte, Jie Gao, Shang-En Huang, Fang-Yi Yu

TL;DR
This paper improves approximation bounds for packing compact, balanced, and radius-constrained subgraphs in various graph classes, with applications to political districting and coverage maximization.
Contribution
It provides new constant-factor approximation algorithms for packing balanced star and radius-k districts in planar and minor-free graphs, extending previous logarithmic bounds.
Findings
Improved approximation factor from O(log n) to O(1) for balanced star districts.
Extended results to minor-free and bounded expansion graphs.
Achieved (1+ε) approximation for max coverage with slight relaxed balancedness.
Abstract
Packing disjoint subgraphs in a given graph is a fundamental problem with many applications. Motivated by political districting, we focus on connected subgraphs that are compact (e.g., having constant radius from a single center vertex) and that satisfy additional composition requirements, such as a minimum population/weight threshold or balanced weight types (e.g., political affiliations). We aim to maximize coverage by disjoint districts that meet these requirements. In this work, we present new results that substantially improve the previously known bounds on balanced star districts for planar and minor-free graphs (Dharangutte et al. 2025). In particular, we improve the approximation factor from to for packing balanced star districts using the exact same algorithm, but with a refined analysis. We also extend the results beyond planar graphs to minor-free graphs…
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