Near-Linear Time Computation of Welzl Orders on Graphs with Linear Neighborhood Complexity
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This submission states the graph form of the main result of Jan Dreier and Clemens Kuske, Near-Linear Time Computation of Welzl Orders on Graphs with Linear Neighborhood Complexity (arXiv:2602.14625). Given a member of a graph class whose neighborhood complexity is uniformly bounded by c · k, a randomized algorithm computes, with probability at least 2/3, an ordering crossed at most 12c² log² n times by every open 1-neighborhood. Its running time is on the word RAM.
The concept surface has six review units and starts with Welzl orders themselves: the crossing count of a set in a total order and the maximum over a set system. A second unit defines the open -neighborhood set system of a graph, and a separate graph concept specializes the Welzl-order definition to that set system; the theorem uses its radius-one instance, which is the ordinary open neighborhood system. Another unit defines the graph's neighborhood complexity function and the exact linear bound , both for one graph with a specified constant and uniformly over a graph class; this is distinct from almost-linear neighborhood complexity. Another gives the finite-randomness reading of a randomized word-RAM computation with a rational success threshold: independent uniform random bits are appended to the ordinary input, every run respects the time bound, and the requested fraction of bit strings produce an accepted output. The theorem instantiates this parameter with and is stated for graphs in compressed sparse row form with its constants exposed.
The submission reuses rather than restates three registered concepts. The word RAM and its step-count semantics are those of The Word RAM (Lax67), and the graph input is the compressed sparse row representation of Algorithmic Experiments on a Random Access Machine (Lax11), while graph classes use the representation from Sparsity Lectures (Lax12). This submission still defines the bounded-walk neighborhood set system, neighborhood trace count, the maximum , and its linear bound directly.
This draft contains the definition and theorem statements only. Its proof obligation is intentionally open while the concept files are reviewed and endorsed.
Concepts
- def
Lax195003.WelzlOrders - thm×
Lax195003.WelzlOrdersComputation - def
Lax195003.WelzlOrdersInGraphs - def
Lax195003.WelzlOrdersNeighborhoodComplexity - def
Lax195003.WelzlOrdersNeighborhoodSetSystem - def
Lax195003.WordRamRandomness
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@misc{lax-195003,
author = {Clemens Kuske and Codex (OpenAI)},
title = {Near-Linear Time Computation of Welzl Orders on Graphs with Linear Neighborhood Complexity},
year = {2026},
howpublished = {Lax Archive, lax-195003},
url = {https://laxarchive.org/lax-195003/},
note = {draft},
}
References
- Jan Dreier and Clemens Kuske. Near-Linear Time Computation of Welzl Orders on Graphs with Linear Neighborhood Complexity. 2026. doi:10.48550/arXiv.2602.14625 · arXiv:2602.14625
- Emo Welzl. Partition Trees for Triangle Counting and Other Range Searching Problems. In Proceedings of the Fourth Annual Symposium on Computational Geometry 23–33, 1988. doi:10.1145/73393.73397
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