Weakly polynomial-time algorithms to minimize 2/3-submodular functions
成果类型:
Article
署名作者:
Mizutani, Ryuhei; Yoshida, Yuki
署名单位:
Keio University
刊物名称:
MATHEMATICAL PROGRAMMING
ISSN/ISSBN:
0025-5610; 1436-4646
DOI:
10.1007/s10107-026-02327-3
发表日期:
2026-03
页码:
709-756
关键词:
submodular functions
摘要:
A fundamental result in combinatorial optimization is that submodular functions can be minimized in polynomial-time. In this paper, we consider the minimization problem for a more general class of set functions that contains all submodular functions. A set function is called 2/3-submodular if the submodular inequality holds for at least two pairs formed from every distinct three subsets. In this paper, we provide two weakly polynomial-time algorithms to minimize 2/3-submodular functions. We also present a min-max theorem for 2/3-submodular functions, which extends the celebrated min-max theorem for submodular functions.
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