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Kirk Public Lecture: Managing bottlenecks using diffusion and reflection

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SSD - Stochastic systems for anomalous diffusion

Stochastic models of complex networks with limited resources arise in a wide variety of applications in science and engineering, e.g., in computer systems, customer service facilities, manufacturing, transportation, telecommunications, and systems biology. Bottlenecks in such networks cause congestion, leading to queueing and delay.  Understanding  the dynamic behavior of such modern stochastic networks present challenging mathematical problems. This talk will describe how reflected diffusion processes can be used to analyze and control such networks.

This talk is part of the Isaac Newton Institute Seminar Series series.

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