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Author:

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

Indexed by:

EI Scopus SCIE

Abstract:

In this paper, we provide a streaming algorithm for the problem of maximizing the sum of a supermodular function and a nonnegative monotone diminishing return submodular (MDR-submodular) function with a knapsack constraint on the integer lattice. Inspired by the SIEVE-STREAMING algorithm, we present a two-pass streaming algorithm by using the threshold technique. Then, we improve the two-pass streaming algorithm to one-pass and further reduce its space complexity. The proposed algorithms are proved to have polynomial time and space complexity, and a performance guarantee dependent on the curvature of the supermodular function. Finally, we carry out numerical experiments to verify the performance of the algorithm.

Keyword:

DR-submodular function Knapsack constraint Supermodular function Integer lattice Threshold greedy algorithm

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 ] [Zhang, Dongmei]Shandong Jianzhu Univ, Sch Comp Sci & Technol, Jinan 250101, Peoples R China
  • [ 5 ] [Zhang, Xiaoqing]Beijing Univ Technol, Dept Operat Res & Informat Engn, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Xu, Yicheng]Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China;;[Xu, Yicheng]Guangxi Key Lab Cryptog & Informat Secur, Guilin 541004, Peoples R China;;

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Source :

JOURNAL OF COMBINATORIAL OPTIMIZATION

ISSN: 1382-6905

Year: 2023

Issue: 2

Volume: 45

1 . 0 0 0

JCR@2022

ESI Discipline: MATHEMATICS;

ESI HC Threshold:9

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 11

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