Limiting distribution conjecture for the optimal objective value
Let , , and be as in Theorem~, and for each let be a uniformly random unit cost vector independent of . Write for the optimal objective value. Limiting distribution conjecture. The sequence of normalized random variables
converges in distribution to the standard Gaussian. Numerical experiments for Gaussian and Rademacher coefficient matrices support the conjecture, but no proof or resolution is given here.
References
Primary source
Marzieh Bakhshi, James Ostrowski and Konstantin Tikhomirov, “On the optimal objective value of random linear programs”, arXiv:2401.17530 (2026).
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