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S. Aggarwal

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Preprint Aug 2026

Easier, but Not Easy: Nash Welfare under Lexicographic Valuations

Maximizing Nash welfare over indivisible goods is a central problem in resource allocation. For additive valuations, the best-known approximation factor is roughly $e^{-1/e}\approx0.692$, and the problem is APX-hard. We study Nash welfare maximization under lexicographic valuations, where every good is worth more than...

S. Aggarwal, Rohit Vaish, Jatin Yadav · 0 citations

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