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Data-Driven Science and Engineering
Steven L. BruntonJ. Nathan Kutz
其他書名
Machine Learning, Dynamical Systems, and Control
出版Cambridge University Press, 2019-02-28
主題Computers / GeneralComputers / Artificial Intelligence / GeneralLanguage Arts & Disciplines / Library & Information Science / GeneralMathematics / Discrete MathematicsMathematics / Probability & Statistics / GeneralMathematics / Mathematical AnalysisMathematics / OptimizationScience / GeneralScience / Earth Sciences / Meteorology & ClimatologyScience / Physics / GeneralTechnology & Engineering / Engineering (General)Technology & Engineering / Robotics
ISBN11084220989781108422093
URLhttp://books.google.com.hk/books?id=CYaEDwAAQBAJ&hl=&source=gbs_api
EBookSAMPLE
註釋Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This textbook brings together machine learning, engineering mathematics, and mathematical physics to integrate modeling and control of dynamical systems with modern methods in data science. It highlights many of the recent advances in scientific computing that enable data-driven methods to be applied to a diverse range of complex systems, such as turbulence, the brain, climate, epidemiology, finance, robotics, and autonomy. Aimed at advanced undergraduate and beginning graduate students in the engineering and physical sciences, the text presents a range of topics and methods from introductory to state of the art.