Abstract
Kenyon et al. (STOC 04) compute the distortion between one-dimensional finite point sets when the distortion is small; Papadimitriou and Safra (SODA 05) show that the problem is NP-hard to approximate within a factor of 3, albeit in 3 dimensions. We solve an open problem in these two papers by demonstrating that, when the distortion is large, it is hard to approximate within large factors, even for 1-dimensional point sets. We also introduce additive distortion, and show that it can be easily approximated within a factor of two.
Work partially supported by European Commission – Fet Open project DELIS IST-001907 Dynamically Evolving Large Scale Information Systems.
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References
Kenyon, C., Rabani, Y., Sinclair, A.: Low distortion maps between point sets. In: Proceedings of the 36th STOC, pp. 272–280 (2004)
Papadimitriou, C., Safra, S.: The complexity of low-distortion embeddings between point sets. In: Proceedings of the 16th SODA, pp. 112–118 (2005)
Indyk, P.: Algorithmic applications of low-distortion geometric embeddings. In: Tutorial at the 42nd FOCS, pp. 10–33 (2001)
Linial, N.: Finite metric spaces – combinatorics, geometry and algorithms. In: Proceedings of the International Congress of Mathematicians III, Beijing, pp. 573–586 (2002)
Matousek, J.: Lectures on Discrete Geometry. Graduate Texts in Mathematics, vol. 212. Springer, Heidelberg (2002)
Web-page of the working group on multi-dimensional scaling (2005), http://dimacs.rutgers.edu/SpecialYears/2001_Data/Algorithms/AlgorithmsMS.htm
Linial, N., London, E., Rabinovich, Y.: The geometry of graphs and some of its algorithmic applications. Combinatorica 15, 215–245 (1995)
Bourgain, J.: On lipschitz embedding of finite metric spaces into hilbert space. Isreal Journal of Mathematics 52, 46–52 (1985)
Kleinberg, J., Slivkins, A., Wexler, T.: Triangulation and embedding using small sets of beacons. In: Proceedings of the 45th FOCS, pp. 444–453 (2004)
Slivkins, A.: Distributed approaches to triangulation and embedding. In: Proceedings of the 16th SODA, pp. 640–649 (2005)
B˘adoiu, M., Dhamdhere, K., Gupta, A., Rabinovich, Y., Räcke, H., Ravi, R., Sidiropoulos, A.: Approximation algorithms for low-distortion embeddings into low-dimensional spaces. In: Proceedings of the 16th SODA, pp. 119–128 (2005)
Håstad, J., Ivansson, L., Lagergren, J.: Fitting points on the real line and its application to RH mapping. In: Bilardi, G., Pietracaprina, A., Italiano, G.F., Pucci, G. (eds.) ESA 1998. LNCS, vol. 1461, pp. 465–467. Springer, Heidelberg (1998)
Bădoiu, M.: Approximation algorithm for embedding metrics into a twodimensional space. In: Proceedings of the 14th SODA, pp. 434–443 (2003)
Bădoiu, M., Indyk, P., Rabinovich, Y.: Approximate algorithms for embedding metrics into low dimensional spaces (2003) (manuscript)
Feige, U.: Approximating the bandwidth via volume respecting embeddings. Journal of Computer and System Sciences 60, 510–539 (2000)
Akutsu, T., Kanaya, K., Ohyama, A., Fujiyama, A.: Point matching under nonuniform distortions. Discrete Applied Mathematics 127, 5–21 (2003)
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Hall, A., Papadimitriou, C. (2005). Approximating the Distortion. In: Chekuri, C., Jansen, K., Rolim, J.D.P., Trevisan, L. (eds) Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques. APPROX RANDOM 2005 2005. Lecture Notes in Computer Science, vol 3624. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11538462_10
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DOI: https://doi.org/10.1007/11538462_10
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