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  • 标题:ON FUNDAMENTAL OPERATIONS FOR MULTIMODULAR FUNCTIONS
  • 本地全文:下载
  • 作者:Satoko Moriguchi ; Kazuo Murota
  • 期刊名称:日本オペレーションズ・リサーチ学会論文誌
  • 印刷版ISSN:0453-4514
  • 电子版ISSN:2188-8299
  • 出版年度:2019
  • 卷号:62
  • 期号:2
  • 页码:53-63
  • DOI:10.15807/jorsj.62.53
  • 出版社:Japan Science and Technology Information Aggregator, Electronic
  • 摘要:Multimodular functions, primarily used in the literature of queueing theory, discrete-event systems, and operations research, constitute a fundamental function class in discrete convex analysis. The objective of this paper is to clarify the properties of multimodular functions with respect to fundamental operations such as permutation and scaling of variables, projection (partial minimization) and convolution. It is shown, in particular, that the class of multimodular functions is stable under projection under a certain natural condition on the variables to be minimized, and the convolution of two multimodular functions is not necessarily multimodular, even in the special case of the convolution of a multimodular function with a separable convex function.
  • 关键词:Discrete optimization;discrete convex analysis;multimodular function;L-convex function;projection;infimal convolution
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