Abstract: In this work, we focus on solving non-smooth non-convex maximization problems in multi-group multicast transmission. By leveraging Karush-Kuhn-Tucker (KKT) optimality conditions, we ...
Abstract: Metaheuristics are widely recognized gradient-free solvers to hard problems that do not meet the rigorous mathematical assumptions of conventional solvers. The automated design of ...
If you hang out in any even vaguely AI-skeptical parts of the Internet, you’ve probably stumbled on plenty of memes and posts premised on data centers’ insatiable thirst for water to power evaporative ...
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