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DOI: 10.1051/ita:2001121
Theoret. Informatics Appl. 35, 287-309 (2001)
On the Hardness of Approximating Some NP-optimization Problems Related to Minimum Linear Ordering Problem
Sounaka Mishra and Kripasindhu SikdarTheoretical Statistics and Mathematics Unit, Indian Statistical Institute, Calcutta 700 035, India; (res9513@isical.ac.in, sikdar@isical.ac.in)
(Received February 14, 2001. Accepted August 24, 2001.)
Abstract
We study
hardness of approximating several minimaximal and maximinimal NP-optimization
problems related to the minimum linear ordering problem (MINLOP). MINLOP is
to find a minimum weight acyclic tournament in a given arc-weighted complete
digraph. MINLOP is APX-hard but its unweighted version is polynomial time
solvable. We prove that MIN-MAX-SUBDAG problem, which is a generalization of
MINLOP and requires to find a minimum cardinality maximal acyclic subdigraph
of a given digraph, is, however, APX-hard. Using results of Håstad
concerning
hardness of approximating independence number of a graph we then prove similar
results concerning MAX-MIN-VC (respectively, MAX-MIN-FVS) which requires to
find a maximum cardinality minimal vertex cover in a given graph (respectively,
a maximum cardinality minimal feedback vertex set in a given digraph). We also
prove APX-hardness of these and several related problems on various degree
bounded graphs and digraphs.
AMS Subject: 68Q17, 68R01, 68W25
Key words: NP-optimization problems -- Minimaximal and maximinimal NP-opt- imization problems -- Approximation algorithms -- Hardness of approximation -- APX-hardness -- AP-reduction -- L-reduction -- S-reduction.
© EDP Sciences 2001
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