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Decades-old conjectures on the tight convergence of Nesterov's accelerated methods can now be solved automatically by swapping general-purpose formal provers for domain-structured symbolic synthesis.
Achieving \(O(蔚^{-3})\) complexity for stochastic root-finding without the usual variance reduction techniques could revolutionize the efficiency of numerical methods in uncertain environments.
