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by Boris V. Cherkassky, Krasikova St, Andrew V. Goldberg
Mathematical Programming
http://www.avglab.com/andrew/./pub/neci-tr-96-029.ps
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Abstract:
We study the problem of finding a negative length cycle in a network. An algorithm for the negative cycle problem combines a shortest path algorithm and a cycle detection strategy. We study various combinations of shortest path algorithms and cycle detection strategies and find the best combinations. One of our discoveries is that a cycle detection strategy of Tarjan greatly improves practical performance of a classical shortest path algorithm, making it competitive with the fastest known algorithms on a wide range of problems. As a part of our study, we develop problem families for testing negative cycle algorithms.
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