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min-ratio-cycle: Fast minimum cost-to-time ratio cycle detection in directed graphs

Authors: Ribeiro, Diogo de Bastos;

min-ratio-cycle: Fast minimum cost-to-time ratio cycle detection in directed graphs

Abstract

A high-performance Python library for finding minimum cost-to-time ratio cycles in directed graphs. Features NumPy-accelerated algorithms with exact Stern-Brocot search for integer inputs, comprehensive validation, performance analytics, and visualization tools.

Keywords

graph algorithms, python, minimum ratio cycle, optimization, operations research

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average