Shortcutting for Negative-Weight Shortest Path

Fuente: arXiv
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Main Authors: Li, George Z., Li, Jason, Rao, Satish, Zhang, Junkai
Format: Preprint
Published: 2025
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author Li, George Z.
Li, Jason
Rao, Satish
Zhang, Junkai
author_facet Li, George Z.
Li, Jason
Rao, Satish
Zhang, Junkai
contents Consider the single-source shortest paths problem on a directed graph with real-valued edge weights. We solve this problem in $O(n^{2.5}\log^{4.5}n)$ time, improving on prior work of Fineman (STOC 2024) and Huang-Jin-Quanrud (SODA 2025, 2026) on dense graphs. Our main technique is an shortcutting procedure that iteratively reduces the number of negative-weight edges along shortest paths by a constant factor.
format Preprint
id arxiv_https___arxiv_org_abs_2511_12714
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Shortcutting for Negative-Weight Shortest Path
Li, George Z.
Li, Jason
Rao, Satish
Zhang, Junkai
Data Structures and Algorithms
Consider the single-source shortest paths problem on a directed graph with real-valued edge weights. We solve this problem in $O(n^{2.5}\log^{4.5}n)$ time, improving on prior work of Fineman (STOC 2024) and Huang-Jin-Quanrud (SODA 2025, 2026) on dense graphs. Our main technique is an shortcutting procedure that iteratively reduces the number of negative-weight edges along shortest paths by a constant factor.
title Shortcutting for Negative-Weight Shortest Path
topic Data Structures and Algorithms
url https://arxiv.org/abs/2511.12714