Abstract: Estimating stochastic gradients is pivotal in fields like service systems in operations research. The classical method for this estimation is the finite-difference approximation, which ...
Abstract: We revisit the Karagiannidis-Lioumpas (KL) approximation of the Q-function by optimizing its coefficients in terms of absolute error, relative error and ...
A new study enhances hydrogen molecule predictions, achieving unprecedented precision in testing fundamental physics and ...
Opinion
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After 40 years, Sebestyen’s theorem breaks past old math limits
For four decades, a quiet boundary in pure mathematics kept a powerful theorem locked inside the safe world of finite quantities. Now a new result known as Sebestyen’s theorem has pushed that boundary ...
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