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Best Algorithms for Approximating the Maximum of a Submodular Set Function
Mathematics of Operations Research, 1978A real-valued function z whose domain is all of the subsets of N = {1, …, n) is said to be submodular if z(S) + z(T) ≥ z(S ∪ T) + z(S ∩ T), ∀S, T ⊆ N, and nondecreasing if z(S) ≤ z(T), ∀S ⊂ T ⊆ N. We consider the problem maxS⊂N {z(S): |S| ≤ K, z submodular and nondecreasing, z(Ø) = 0}.
G L Nemhauser
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A note on maximizing a submodular set function subject to a knapsack constraint
Operations Research Letters, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Maxim Sviridenko
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Convex Analysis for Minimizing and Learning Submodular Set Functions [PDF]
The connections between convexity and submodularity are explored, for purposes of minimizing and learning submodular set functions. First, we develop a novel method for minimizing a particular class of submodular functions, which can be expressed as a sum of concave functions composed with modular functions.
Peter Stobbe, Stobbe, Peter
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Minimizing submodular functions over families of sets
Combinatorica, 1995zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Michel X. Goemans, V. S. Ramakrishnan
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