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Polynomial combinatorial algorithms for skew-bisubmodular function minimization.

Authors :
Fujishige, Satoru
Tanigawa, Shin-ichi
Source :
Mathematical Programming. Sep2018, Vol. 171 Issue 1/2, p87-114. 28p.
Publication Year :
2018

Abstract

Huber et al. (SIAM J Comput 43:1064-1084, <xref>2014</xref>) introduced a concept of skew bisubmodularity, as a generalization of bisubmodularity, in their complexity dichotomy theorem for valued constraint satisfaction problems over the three-value domain, and Huber and Krokhin (SIAM J Discrete Math 28:1828-1837, <xref>2014</xref>) showed the oracle tractability of minimization of skew-bisubmodular functions. Fujishige et al. (Discrete Optim 12:1-9, <xref>2014</xref>) also showed a min-max theorem that characterizes the skew-bisubmodular function minimization, but devising a combinatorial polynomial algorithm for skew-bisubmodular function minimization was left open. In the present paper we give first combinatorial (weakly and strongly) polynomial algorithms for skew-bisubmodular function minimization. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00255610
Volume :
171
Issue :
1/2
Database :
Academic Search Index
Journal :
Mathematical Programming
Publication Type :
Academic Journal
Accession number :
131277514
Full Text :
https://doi.org/10.1007/s10107-017-1171-2