The required linear program is
There are inequality constraints and one equality constraint, all independent of .
The feasible set is the capped simplex, a nonempty compact set. A linear function attains its maximum at an extreme point; the previous part identifies these as the indicators of -element subsets. At such a vector, the objective is the sum of the selected coordinates. Maximizing selects the largest coordinates, including when some are negative or tied. Equivalently, is the support function called the sum of the largest components.

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