Losing weight by gaining edges

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Abstract

We present a new way to encode weighted sums into unweighted pairwise constraints, obtaining the following results. Define the k-SUM problem to be: given n integers in [-n 2k,n 2k ] are there k which sum to zero? (It is well known that the same problem over arbitrary integers is equivalent to the above definition, by linear-time randomized reductions.) We prove that this definition of k-SUM remains W[1]-hard, and is in fact W[1]-complete: k-SUM can be reduced to f(k)·n o(1) instances of k-Clique. The maximum node-weighted k-Clique and node-weighted k-dominating set problems can be reduced to n o(1) instances of the unweighted k-Clique and k-dominating set problems, respectively. This implies a strong equivalence between the time complexities of the node weighted problems and the unweighted problems: any polynomial improvement on one would imply an improvement for the other. A triangle of weight 0 in a node weighted graph with m edges can be deterministically found in m 1.41 time. © 2014 Springer-Verlag Berlin Heidelberg.

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APA

Abboud, A., Lewi, K., & Williams, R. (2014). Losing weight by gaining edges. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8737 LNCS, pp. 1–12). Springer Verlag. https://doi.org/10.1007/978-3-662-44777-2_1

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