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Author:

Tan, Jingjing (Tan, Jingjing.) | Xu, Yicheng (Xu, Yicheng.) | Zhang, Dongmei (Zhang, Dongmei.) | Zhang, Xiaoqing (Zhang, Xiaoqing.)

Indexed by:

CPCI-S EI Scopus

Abstract:

Submodular maximization is of great significance as it has included many classical combinatorial problems. In this paper, we consider the maximization of the sum of a supermodular function and a monotone DR-submodular function on the integer lattice. As our main contribution, we present a streaming algorithm under the assumption that the optimum is known, and a two-pass streaming algorithm in general case. The proposed algorithms are proved to have polynomial time and space complexity, and a performance guarantee dependent on the curvature of the supermodular function.

Keyword:

Supermodular Knapsack constraint Submodular maximization Integer lattice DR-submodular

Author Community:

  • [ 1 ] [Tan, Jingjing]Weifang Univ, Sch Math & Informat Sci, Weifang 261061, Peoples R China
  • [ 2 ] [Xu, Yicheng]Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China
  • [ 3 ] [Xu, Yicheng]Guangxi Key Lab Cryptog & Informat Secur, Guilin 541004, Peoples R China
  • [ 4 ] [Xu, Yicheng]Shandong Jianzhu Univ, Sch Comp Sci & Technol, Jinan 250101, Peoples R China
  • [ 5 ] [Zhang, Dongmei]Beijing Univ Technol, Dept Operat Res & Informat Engn, Beijing 100124, Peoples R China

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Source :

COMPUTATIONAL DATA AND SOCIAL NETWORKS, CSONET 2021

Year: 2021

Volume: 13116

Page: 68-75

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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