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    Performance evaluation, optimization and dynamic decision in blockchain systems: a recent overview by Quan-Lin Li, Yan-Xia Chang, Qing Wang

    Published 2023-02-01
    “…Important examples include (a) performance evaluation: Markov processes, queuing theory, Markov reward processes, random walks, fluid and diffusion approximations, and martingale theory; (b) performance optimization:Linear programming, nonlinear programming, integer programming, and multi-objective programming; (c) optimal control and dynamic decision: Markov decision processes, and stochastic optimal control; and (d) artificial intelligence: Machine learning, deep reinforcement learning, and federated learning. …”
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