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A variation of DS decomposition in set function optimization

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Abstract

Any set function can be decomposed into the difference of two monotone nondecreasing submodular functions. This theorem plays an important role in the set function optimization theory. In this paper, we show a variation that any set function can be decomposed into the difference of two monotone nondecreasing supermodular functions. Meanwhile, we give an example in social network optimization and construct algorithmic solutions for the maximization problem of set functions with this variation of DS decomposition.

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Correspondence to Xiang Li.

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Li, X., Du, H.G. & Pardalos, P.M. A variation of DS decomposition in set function optimization. J Comb Optim 40, 36–44 (2020). https://doi.org/10.1007/s10878-020-00560-w

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