On Polynomial-Time Combinatorial Algorithms for Maximum L-Bounded Flow
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10420162" target="_blank" >RIV/00216208:11320/20:10420162 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=_Js47XY46d" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=_Js47XY46d</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.7155/jgaa.00534" target="_blank" >10.7155/jgaa.00534</a>
Alternative languages
Result language
angličtina
Original language name
On Polynomial-Time Combinatorial Algorithms for Maximum L-Bounded Flow
Original language description
Given a graph G = (V, E) with two distinguished vertices s, (formula presented) and an integer L, an L-bounded flow is a flow between s and t that can be decomposed into paths of length at most L. In the maximum L-bounded flow problem the task is to find a maximum L-bounded flow between a given pair of vertices in the input graph. For networks with unit edge lengths (or, more generally, with polynomially bounded edge lengths, with respect to the number of vertices), the problem can be solved in polynomial time using linear programming. However, as far as we know, no polynomial-time combinatorial algorithm1 for the L-bounded flow is known. For general edge lengths, the problem is NP-hard. The only attempt, that we are aware of, to describe a combinatorial algorithm for the maximum L-bounded flow problem was done by Koubek and Říha in 1981. Unfortunately, their paper contains substantial flaws and the algorithm does not work; in the first part of this paper, we describe these problems. In the second part of this paper we describe a combinatorial algorithm based on the exponential length method that finds a (1+ε)-approximation of the maximum L-bounded flow in time O(ε-2 m2 L log L) where m is the number of edges in the graph. Moreover, we show that this approach works even for the NP-hard generalization of the maximum L-bounded flow problem in which each edge has a length.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Graph Algorithms and Applications
ISSN
1526-1719
e-ISSN
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Volume of the periodical
24
Issue of the periodical within the volume
3
Country of publishing house
US - UNITED STATES
Number of pages
20
Pages from-to
303-322
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85088278363