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Parameterized Approximation Algorithms for Bidirected Steiner Network Problems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10437394" target="_blank" >RIV/00216208:11320/21:10437394 - isvavai.cz</a>

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=a.QxLFrQ_e" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=a.QxLFrQ_e</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3447584" target="_blank" >10.1145/3447584</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Parameterized Approximation Algorithms for Bidirected Steiner Network Problems

  • Original language description

    The Directed Steiner Network (DSN) problem takes as input a directed graph G = (V, E) with non-negative edge-weights and a set D subset of V x V of k demand pairs. The aim is to compute the cheapest network N subset of G for which there is an s -&gt; t path for each (s, t) is an element of D. It is known that this problem is notoriously hard, as there is no k(1/4-o(1))-approximation algorithm under Gap-ETH, even when parametrizing the runtime by k [Dinur &amp; Manurangsi, ITCS 2018]. In light of this, we systematically study several special cases of DSN and determine their parameterized approximability for the parameter k. For the bi-DSNPLANAR problem, the aim is to compute a solution N subset of G whose cost is at most that of an optimum planar solution in a bidirected graph G, i.e., for every edge uv of G the reverse edge vu exists and has the same weight. This problem is a generalization of several well-studied special cases. Our main result is that this problem admits a parameterized approximation scheme (PAS) for k. We also prove that our result is tight in the sense that (a) the runtime of our PAS cannot be significantly improved, and (b) no PAS exists for any generalization of bi-DSNPLANAR, under standard complexity assumptions. The techniques we use also imply a polynomial-sized approximate kernelization scheme (PSAKS). Additionally, we study several generalizations of bi-DSNPLANAR and obtain upper and lower bounds on obtainable runtimes parameterized by k. One important special case of DSN is the Strongly CONNECTED STEINER Subgraph (SCSS) problem, for which the solution network N subset of G needs to strongly connect a given set of k terminals. It has been observed before that for SCSS a parameterized 2-approximation exists for parameter k [Chitnis et al., IPEC 2013]. We give a tight inapproximability result by showing that for k no parameterized (2 - epsilon)-approximation algorithm exists under Gap-ETH. Additionally, we show that when restricting the input of SCSS to bidirected graphs, the problem remains NP-hard but becomes FPT for k.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GX19-27871X" target="_blank" >GX19-27871X: Efficient approximation algorithms and circuit complexity</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    ACM Transactions on Algorithms

  • ISSN

    1549-6325

  • e-ISSN

  • Volume of the periodical

    17

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    68

  • Pages from-to

    12

  • UT code for WoS article

    000661311300002

  • EID of the result in the Scopus database

    2-s2.0-85107813086