On approximate data reduction for the Rural Postman Problem: Theory and experiments. van Bevern, R., Fluschnik, T., & Tsidulko, O. Networks, 76(4):485-508, 2020.
Preprint
Poster
Slides
Code doi abstract bibtex 6 downloads Given a graph G=(V,E) with edge weights ω:E→N∪0 and a subset R⊆E of required edges, the Rural Postman Problem (RPP) is to find a closed walk W* of minimum weight ω(W*) containing all edges of R. We prove that RPP is WK[1]-complete parameterized by the number and cost d=ω(W^*)-ω(R)+|W*|-|R| of edges traversed additionally to the required ones, that is, presumably cannot be polynomial-time reduced to solving instances of size polynomial in d. In contrast, denoting by b≤2d the number of vertices incident to an odd number of edges of R and by c≤d the number of connected components formed by the edges in R, we show how to reduce any RPP instance I to an RPP instance I' with 2b+O(c/ε) vertices in O(n³) time so that any α-approximate solution for I' gives an α(1+ε)-approximate solution for I, for any α≥1 and ε>0. That is, we provide a polynomial-size approximate kernelization scheme (PSAKS). We make first steps towards a PSAKS for the parameter c.
@article{BFT20b,
author = {Ren{\'{e}} van Bevern and Till Fluschnik and Oxana
Tsidulko},
title = {On approximate data reduction for the {Rural Postman
Problem}: Theory and experiments},
year = {2020},
date = {2020-11-02},
journal = {Networks},
url_Preprint = {https://arxiv.org/abs/1812.10131},
url_Poster =
{https://figshare.com/articles/poster/On_approximate_data_reduction_for_the_Rural_Postman_Problem/13058969},
url_Slides =
{https://www.researchgate.net/publication/348297308_On_approximate_approximate_data_reduction_for_the_Rural_Postman_Problem_Theory_and_Experiments},
doi = {10.1002/net.21985},
volume = 76,
number = 4,
pages = {485-508},
url_Code = {https://gitlab.com/rvb/rpp-psaks},
abstract = {Given a graph G=(V,E) with edge weights ω:E→N∪{0}
and a subset R⊆E of required edges, the Rural
Postman Problem (RPP) is to find a closed walk W* of
minimum weight ω(W*) containing all edges of R. We
prove that RPP is WK[1]-complete parameterized by
the number and cost d=ω(W^*)-ω(R)+|W*|-|R| of edges
traversed additionally to the required ones, that
is, presumably cannot be polynomial-time reduced to
solving instances of size polynomial in d. In
contrast, denoting by b≤2d the number of vertices
incident to an odd number of edges of R and by c≤d
the number of connected components formed by the
edges in R, we show how to reduce any RPP instance I
to an RPP instance I' with 2b+O(c/ε) vertices in
O(n³) time so that any α-approximate solution for I'
gives an α(1+ε)-approximate solution for I, for any
α≥1 and ε>0. That is, we provide a polynomial-size
approximate kernelization scheme (PSAKS). We make
first steps towards a PSAKS for the parameter c.}
}
Downloads: 6
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