A Branch-and-Cut Strategy for the Manickam-Miklos-Singhi Conjecture
classification
🧮 math.CO
cs.DM
keywords
conjecturebranch-and-cutdevelopleastmanickam-miklos-singhinonnegativestrategyalgorithm
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The Manickam-Miklos-Singhi Conjecture states that when n is at least 4k, every multiset of n real numbers with nonnegative total sum has at least (n-1 choose k-1) k-subsets with nonnegative sum. We develop a branch-and-cut strategy using a linear programming formulation to show that verifying the conjecture for fixed values of k is a finite problem. To improve our search, we develop a zero-error randomized propagation algorithm. Using implementations of these algorithms, we verify a stronger form of the conjecture for all k at most seven.
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