Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control (Hardcover)

Brunton, Steven L., Kutz, J. Nathan

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商品描述

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.

商品描述(中文翻譯)

數據驅動的發現正在革新複雜系統的建模、預測和控制。這本教科書將機器學習、工程數學和數學物理學結合起來,將動態系統的建模和控制與現代數據科學方法相結合。它突出了科學計算的許多最新進展,使數據驅動方法能夠應用於各種複雜系統,如湍流、大腦、氣候、流行病學、金融、機器人和自主性。該教科書針對工程和物理科學的高年級本科生和初級研究生,介紹了從入門到最新技術的各種主題和方法。