A unified majorization framework and double-scaling bound enhancement yield stronger convex relaxations for the NP-hard maximum entropy sampling problem, with proven dominance over linx and Gamma factorization methods and superior numerical performance.
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From Majorization to Scaling: Advancing Convex Relaxations of Maximum Entropy Sampling Problem
A unified majorization framework and double-scaling bound enhancement yield stronger convex relaxations for the NP-hard maximum entropy sampling problem, with proven dominance over linx and Gamma factorization methods and superior numerical performance.