Posimodular Function Optimization

Posimodular Function Optimization
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正调函数优化

DOI:
10.1007/s00453-021-00910-y
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发表时间:
2022
期刊:
影响因子:
1.1
通讯作者:
Kenjiro Takazawa
Kenjiro Takazawa
中科院分区:
计算机科学4区
文献类型:
--
作者:
Magnus M. Halldorsson;Toshimasa Ishii;Kazuhisa Makino;Kenjiro Takazawa

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A functionon a finite setVisposimodularif, for all. Posimodular functions often arise in combinatorial optimization such as undirected cut functions. We consider the problem of finding a nonempty subsetXminimizingf(X), when the posimodular functionfis given by oracle access. We show that posimodular function minimization requires exponential time, contrasting with the polynomial solvability of submodular function minimization that forms another generalization of cut functions. On the other hand, the problem is fixed-parameter tractable in terms of the sizeDof the image (or range) off. In more detail, we show thattime is necessary andsufficient, wheredenotes the time for one function evaluation and. When the image offisfor integerd,time is sufficient. We can also generate all sets minimizingfin time. Finally, we also consider the problem of maximizing a given posimodular function, showing that it requires at leasttime in general, while it has time complexity \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varTheta ({n \atopwithdelims ()d-1}T_f)$$\end{document} whenis the image off, for integer.
A functionon a finite setVisposimodularif, for all. Posimodular functions often arise in combinatorial optimization such as undirected cut functions. We consider the problem of finding a nonempty subsetXminimizingf(X), when the posimodular functionfis given by oracle access. We show that posimodular function minimization requires exponential time, contrasting with the polynomial solvability of submodular function minimization that forms another generalization of cut functions. On the other hand, the problem is fixed-parameter tractable in terms of the sizeDof the image (or range) off. In more detail, we show thattime is necessary andsufficient, wheredenotes the time for one function evaluation and. When the image offisfor integerd,time is sufficient. We can also generate all sets minimizingfin time. Finally, we also consider the problem of maximizing a given posimodular function, showing that it requires at leasttime in general, while it has time complexity \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\varTheta ({n \atopwithdelims ()d-1}T_f)$$\end{document} whenis the image off, for integer.
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