Unfinished tasks occupy your brain differently than completed ones. Discover why "done" matters more than "perfect"—and how to engineer closure.

Abstract: Neural networks (NNs) are commonly used to approximate functions based on data samples, as they are a universal function approximator for a large class of functions. However, choosing a ...

Abstract: In this paper, we address a class of differential games where one player utilizes piecewise continuous control strategy, while the other player employs event-triggered impulses. This paper ...

Succession planning is a proactive organizational strategy crucial for ensuring business continuity. It involves identifying and grooming internal leaders to assume key roles whenever necessary due to ...

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Continuous-depth neural networks, such as the Neural Ordinary Differential Equations (ODEs), have aroused a great deal of interest from the communities of machine learning and data science in recent ...

1 Department of Mathematical Sciences, Mathematical Finance and Econometrics, Catholic University of the Sacred Heart, Milan, Italy 2 Department of Economics, University of Bamberg, Bamberg, Germany ...