Abstract
We show, by a non-trivial application of the color-coding method of Alon et al.[2], that Budgeted Unique Coverage (a variant of Set Cover) is fixed-parameter tractable, answering an open problem posed in [13]. We also give improved fixed-parameter tractable algorithms for two special cases of Budgeted Unique Coverage: Unique Coverage (the unweighted version) and Budgeted Max Cut.
To derandomize our algorithms we use an interesting variation of k-perfect hash families known as (k,s)-hash families which were studied by Alon et al.[1] in the context of a class of codes called parent identifying codes [3]. In this setting, for every s-element subset S of the universe, and every k-element subset X of S, there exists a function that maps X injectively and maps the remaining elements of S into a different range.
We give several bounds on the size of (k,s)-hash families. We believe that our application of color-coding may be used for other problems and that this is the first application of (k,s)-hash families to a problem outside the domain of coding theory.
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Alon, N., Cohen, G., Krivelevich, M., Litsyn, S.: Generalized hashing and parent-identifying codes. Journal of Combinatorial Theory Series A 104(1), 207–215 (2003)
Alon, N., Yuster, R., Zwick, U.: Color-coding. J. ACM 42(4), 844–856 (1995)
Barg, A., Cohen, G., Encheva, S., Kabatiansky, G., Zémor, G.: A hypergraph approach to the identifying parent property: The case of multiple parents. SIAM Journal of Discrete Mathematics 14(3), 423–431 (2001)
Chen, J., Lu, S., Sze, S.-H., Zhang, F.: Improved algorithms for path, matching, and packing problems. In: SODA, pp. 298–307 (2007)
Demaine, E.D., Hajiaghayi, M.T., Feige, U., Salavatipour, M.R.: Combination can be hard: approximability of the unique coverage problem. In: SODA, pp. 162–171 (2006)
Downey, R.G., Fellows, M.R.: Parameterized complexity. Springer, New York (1999)
Erlebach, T., van Leeuwen, E.J.: Approximating geometric coverage problems. In: SODA, pp. 1267–1276 (2008)
Flum, J., Grohe, M.: Parameterized Complexity Theory. Texts in Theoretical Computer Science. An EATCS Series. Springer, Berlin (2006)
Guruswami, V., Trevisan, L.: The complexity of making unique choices: Approximating 1-in-k sat. In: Chekuri, C., Jansen, K., Rolim, J.D.P., Trevisan, L. (eds.) APPROX 2005 and RANDOM 2005. LNCS, vol. 3624, pp. 99–110. Springer, Heidelberg (2005)
Khuller, S., Moss, A., Naor, J.: The budgeted maximum coverage problem. Inf. Process. Lett. 70(1), 39–45 (1999)
Mehlhorn, K.: On the program size of perfect and universal hash functions. In: Proceedings of the 23th IEEE Symposium on Foundations of Computer Science (FOCS), pp. 170–175. IEEE, Los Alamitos (1982)
Moser, H., Misra, N., Raman, V., Saurabh, S., Sikdar, S.: The parameterized complexity of the Unique Coverage problem (2009) (manuscript)
Moser, H., Raman, V., Sikdar, S.: The parameterized complexity of the unique coverage problem. In: Tokuyama, T. (ed.) ISAAC 2007. LNCS, vol. 4835, pp. 621–631. Springer, Heidelberg (2007)
Niedermeier, R.: Invitation to fixed-parameter algorithms. Oxford Lecture Series in Mathematics and its Applications, vol. 31. Oxford University Press, Oxford (2006)
Schmidt, J.P., Siegel, A.: The spatial complexity of oblivious k-probe hash functions. SIAM J. Computing 19(5), 775–786 (1990)
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Misra, N., Raman, V., Saurabh, S., Sikdar, S. (2009). The Budgeted Unique Coverage Problem and Color-Coding. In: Frid, A., Morozov, A., Rybalchenko, A., Wagner, K.W. (eds) Computer Science - Theory and Applications. CSR 2009. Lecture Notes in Computer Science, vol 5675. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03351-3_29
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DOI: https://doi.org/10.1007/978-3-642-03351-3_29
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