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  • Alan J. Lockett
    978-3-662-62007-6
    2020
    Edition 1
    • The book will be valuable for researchers in the areas of global optimization, machine learning, evolutionary theory, and control theory
    • Optimization is a fundamental problem that recurs across scientific disciplines and is pervasive in informatics research, from statistical machine learning to probabilistic models to reinforcement learning
    • In the final main chapter of the book the author realizes that the basic mathematical objects developed to account for stochastic optimization have applications far beyond optimization, he thinks about them as stimulus-response systems, the key intuition coming from the Optimization Game

    €400

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