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Polynomial combinatorial algorithms for skew-bisubmodular function minimization.
- 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