Unlock: Submodular Optimization
Submodular functions exhibit diminishing returns. The greedy algorithm achieves a (1-1/e) approximation for monotone submodular maximization under cardinality constraints, with applications in feature selection, sensor placement, and data summarization.
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Submodular OptimizationTARGET
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