stochastic networks

Stochastic networks are systems that encompass both random and deterministic elements, where the behavior or characteristics of the network components are subject to uncertainty. These networks consist of interconnected nodes or entities that operate probabilistically, with each node's behavior influenced by random variables or processes. By incorporating randomness, stochastic networks capture the inherent variability and unpredictability found in real-world systems, enabling analysis and modeling of complex phenomena such as communication, transportation, and computer networks. The interactions within stochastic networks are governed by mathematical principles from probability theory and provide insights into performance evaluation, optimization, and control strategies.

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