Sign inGet started
Paper · arXiv

Agentic Algorithm Engineering: Improving Shared-Memory Exact Minimum Cuts

The minimum cut problem for an undirected edge-weighted graph asks us to divide its set of nodes into two blocks while minimizing the weighted sum of the cut edges. Over the last years, we engineered a range of fast algorithms for this problem. Our fastest exact algorithm uses an inexact algorithm to obtain a better bound for the problem, reductions that depend on this bound, improved data structures and parallel contraction routines. It is available in the open-source package VieCut and, on real-world instances, outperformed the previously fastest solvers by a factor of up to 2.5 sequentially and up to 12.9 when run in parallel. We improve this algorithm using agentic algorithm engineeri...

AuthorsDavid A. Bader, Adil Chhabra, Ernestine Großmann et al.
Primary categorycs.AI
Published7 September 2026
Last updated at source7 September 2026
cs.AIcs.DCcs.DS
Embed this entry
<iframe src="https://silytics.si/embed/item/c649ad52-5d47-4651-ac74-2da23bd1179a" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.