By Sándor P. Fekete, Henk Meijer, André Rohe, Walter Tietze (auth.), Adam L. Buchsbaum, Jack Snoeyink (eds.)
This ebook constitutes the completely refereed post-proceedings of the 3rd overseas Workshop on set of rules Engineering and Experimentation, ALENEX 2001, held in Washington, DC, united states in January 2001.
The 15 revised complete papers offered including the abstracts of 3 invited shows have undergone rounds of reviewing and revision and have been chosen from 31 submissions. one of the issues addressed are heuristics for approximation, community optimization, TSP, randomization, sorting, info retrieval, graph computations, tree clustering, scheduling, community algorithms, element set computations, looking, and information mining.
Read Online or Download Algorithm Engineering and Experimentation: Third International Workshop, ALENEX 2001 Washington, DC, USA, January 5–6, 2001 Revised Papers PDF
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Extra resources for Algorithm Engineering and Experimentation: Third International Workshop, ALENEX 2001 Washington, DC, USA, January 5–6, 2001 Revised Papers
Examples are duty scheduling [BBKL00], traﬃc routing with congestion [JMS99] and scheduling switching engines [LZ00]. Constrained Geodesic Shortest Paths in TINs. Given a triangulated irregular network (TIN) describing a terrain surface, we also may ask for the continuous (geodesic) version of the constrained shortest path problem. Now the length of a path link is its geodesic length and the resource of a path link could for example be its slope. Now we have geodesic shortest paths as a core problem.
To the best of our knowledge, this is the ﬁrst implementation for the constrained minimum spanning tree problem. As core algorithm for the relaxation methods in our generic approach we use LEDA’s implementation of Kruskal’s minimum spanning tree algorithm. A user again may provide an own implementation. For the gap closing step we implemented the spanning tree ranking algorithm of Katoh, Ibaraki and Mine [KIM81]5 . Other methods may be provided by the user. Like in the constrained shortest path case there are problem reductions possible.
Max-Planck-Institut f¨ ur Informatik. html. K. Mehlhorn, S. N¨ aher, M. Seel, and C. Uhrig. The LEDA User Manual. Max-Planck-Institut f¨ ur Informatik. de/LEDA. K. R. Sack, and M. Ziegelmann. Constrained geodesic shortest paths. manuscript, 2000. K. Mehlhorn and M. Ziegelmann. Resource constrained shortest paths. In 7th Annual European Symposium on Algorithms (ESA2000), LNCS 1879, pages 326–337, 2000. R. Nygaard, J. Husøy, and D. Haugland. Compression of image contours using combinatorial optimization.