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Finding the Minimum-Weight k-Path

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Algorithms and Data Structures (WADS 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8037))

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Abstract

Given a weighted n-vertex graph G with integer edge-weights taken from a range [ − M,M], we show that the minimum-weight simple path visiting k vertices can be found in time \(\tilde{O}(2^k \mathrm{poly}(k) M n^\omega) = O^*(2^k M)\). If the weights are reals in [1,M], we provide a (1 + ε)-approximation which has a running time of \(\tilde{O}(2^k \mathrm{poly}(k) n^\omega(\log\log M + 1/\varepsilon))\). For the more general problem of k-tree, in which we wish to find a minimum-weight copy of a k-node tree T in a given weighted graph G, under the same restrictions on edge weights respectively, we give an exact solution of running time \(\tilde{O}(2^k \mathrm{poly}(k) M n^3) \) and a (1 + ε)-approximate solution of running time \(\tilde{O}(2^k \mathrm{poly}(k) n^3(\log\log M + 1/\varepsilon))\). All of the above algorithms are randomized with a polynomially-small error probability.

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Hassidim, A., Keller, O., Lewenstein, M., Roditty, L. (2013). Finding the Minimum-Weight k-Path. In: Dehne, F., Solis-Oba, R., Sack, JR. (eds) Algorithms and Data Structures. WADS 2013. Lecture Notes in Computer Science, vol 8037. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40104-6_34

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  • DOI: https://doi.org/10.1007/978-3-642-40104-6_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40103-9

  • Online ISBN: 978-3-642-40104-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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