Stochastic Methods in Optimization and Machine Learning
Stochastic methods are indispensable to the modeling, analysis and design of complex systems involving randomness. In this thesis, we show how simulation techniques and simulation-based computational methods can be applied to a wide spectrum of applied domains including engineering, optimization and...
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| Language: | English |
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2021
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| Online Access: | https://doi.org/10.7916/d8-ngq8-9s10 |