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May 29, 20260 citationsOpen Access

Improved Online Hitting Set Algorithms for Structured and Geometric Set Systems

SBSujoy BhoreAGAnupam GuptaAKAmit Kumar

Key Points

  • This work investigates whether the competitive ratio for online hitting set/set cover can be improved in structured and geometric set systems.
  • Developed an O(log n log log n)-competitive algorithm for the weighted online hitting set problem.
  • Focus on set systems with linear shallow-cell complexity.
  • Analyzed existing barriers in the general online hitting set problem to inform the new algorithm.
  • Achieved competitive ratio of O(log n log log n), improving upon the previous O(log n log m).
  • Established the first bounds for weighted online hitting set in geometric set families.
  • Addressed open questions regarding the differences between general and geometric weighted online hitting sets.

Abstract

In the online hitting set problem, sets arrive over time, and the algorithm has to maintain a subset of elements that hit all the sets seen so far. Alon, Awerbuch, Azar, Buchbinder, and Naor (SICOMP 2009) gave an algorithm with competitive ratio O(log n log m) for the (general) online hitting set and set cover problems for m sets and n elements; this is known to be tight for efficient online algorithms. Given this barrier for general set systems, we ask: can we break this double-logarithmic phenomenon for online hitting set/set cover on structured and geometric set systems? We provide an O(log n log log n)-competitive algorithm for the weighted online hitting set problem on set systems with linear shallow-cell complexity, replacing the double-logarithmic factor in the general result by effectively a single logarithmic term. As a consequence of our results we obtain the first bounds for weighted online hitting set for natural geometric set families, thereby answering open questions regarding the gap between general and geometric weighted online hitting set problems.

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Cite This Study

Bhore et al. (2026) studied this question.

synapsesocial.com/papers/6a192d4afab5b468c44161a9https://doi.org/10.4230/lipics.socg.2026.14
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