One‐pass streaming algorithm for monotone lattice submodular maximization subject to a cardinality constraint

Summary In the article, we devise streaming algorithms for maximization of a monotone submodular function subject to a cardinality constraint on the integer lattice. Based on the observation that lattice submodularity is not equivalent to diminishing return submodularity on the integer lattice but r...

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Vydané v:Concurrency and computation Ročník 35; číslo 17
Hlavní autori: Zhang, Zhenning, Guo, Longkun, Wang, Linyang, Zou, Juan
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Hoboken Wiley Subscription Services, Inc 01.08.2023
Predmet:
Algorithms
cardinality
Complexity
integer lattice
Integers
lattice submodular
Maximization
memory complexity
Optimization
streaming algorithm
ISSN:1532-0626, 1532-0634
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Shrnutí:Summary In the article, we devise streaming algorithms for maximization of a monotone submodular function subject to a cardinality constraint on the integer lattice. Based on the observation that lattice submodularity is not equivalent to diminishing return submodularity on the integer lattice but rather a weaker condition, we propose a one‐pass streaming algorithm with a modified binary search as subroutine of each step. Finally, we show that the algorithm is with approximation ratio 1/2−ε, memory complexity O(ε−1klogk), and per‐element query complexity O(ε−2log2k).
Bibliografia:Funding information
Science and Technology Program of Beijing Education Commission, KM201810005006; Beijing Natural Science Foundation Project, Z200002; National Natural Science Foundation of China, 12001025, 61772005, 11871081, 11801310; Outstanding Youth Innovation Team Project for Universities of Shandong Province, 2020KJN008
ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:1532-0626
1532-0634
DOI:10.1002/cpe.6645