Polynomial combinatorial algorithms for skew-bisubmodular function minimization

成果类型:
Article
署名作者:
Fujishige, Satoru; Tanigawa, Shin-ichi
署名单位:
Kyoto University
刊物名称:
MATHEMATICAL PROGRAMMING
ISSN/ISSBN:
0025-5610
DOI:
10.1007/s10107-017-1171-2
发表日期:
2018
页码:
87-114
关键词:
submodular functions polyhedra matroids
摘要:
Huber et al. (SIAM J Comput 43: 1064-1084, 2014) 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, 2014) showed the oracle tractability of minimization of skew-bisubmodular functions. Fujishige et al. (Discrete Optim 12: 1-9, 2014) 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.