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arXiv.org
This article provides a comprehensive exploration of submodular maximization problems, focusing on those subject to uniform and partition matroids. Crucial for a wide array of applications in fields ranging from computer science to systems engineering ...
Solmaz S. Kia
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This article provides a comprehensive exploration of submodular maximization problems, focusing on those subject to uniform and partition matroids. Crucial for a wide array of applications in fields ranging from computer science to systems engineering ...
Solmaz S. Kia
semanticscholar +1 more source
Approximation Operators in Covering Based Rough Sets from Submodular Functions
2017We present a new collection of upper approximation operators for covering based rough sets, obtained from sub modular functions and closure operators. Each non decreasing submodular function defines a closure operator that can be considered as an approximation operator. The construction allows us to define several upper approximation operators.
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A variation of DS decomposition in set function optimization
Journal of combinatorial optimization, 2020Xiang Li, Hongbin George Du, P. Pardalos
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Submodular set functions and monotone systems in aggregation problems. II
[For part I see Autom. Remote Control 48, No.5, 679-689 (1987; Zbl 0639.90077).] The relationship from part I between submodular functions and functions determining the extremal properties of monotone sytems is applied to prove that, on the chain of any set-theoretical interval, the submodular function varies more slowly than the linear function of theMuchnik, I. B., Shvartser, L. V.
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly
On greedy algorithms, partially ordered sets, and submodular functions
IBM Journal of Research and Development, 2003B. L. Dietrich, A. J. Hoffman
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Sequence independent lifting for a set of submodular maximization problems
Mathematical programming, 2020Xueyu Shi, O. Prokopyev, Bo Zeng
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Parallel Quasi-Concave Set Function Optimization for Scalability Even Without Submodularity
2023 IEEE High Performance Extreme Computing Conference (HPEC), 2023Praneeth Vepakomma +3 more
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