Data-driven science and engineering :
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TextPublication details: UK Cambridge 2019Description: 472 pISBN: 9781108422093 (hardback : alk. paper)Subject(s): Engineering | Science | Mathematical analysisDDC classification: 620.00285631 Summary: "Data-driven discovery is revolutionizing the modelling, prediction, and control of complex systems. This textbook brings together machine learning, engineering mathematics, and mathematical physics to integrate modelling 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"--
| Item type | Current library | Call number | Status | Date due | Barcode |
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Stack | 620.00285631 BRU/D (Browse shelf (Opens below)) | Available | 54408 |
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| 620.00151535 HUG/F The finite element method : linear static and dynamic finite element analysis | 620.00151825 THO/I Introduction to the finite element method: Theory, programming and applications | 620.00285536 GIL/M Matlab: An introduction with applications | 620.00285631 BRU/D Data-driven science and engineering : | 620.004 2 HUE/F Finite element method for engineers | 620.004 52 RAJ/P Plant maintenance and reliability engineering | 620.004 52 RAU/S System reliability theory : models, statistical methods and applications |
"Data-driven discovery is revolutionizing the modelling, prediction, and control of complex systems. This textbook brings together machine learning, engineering mathematics, and mathematical physics to integrate modelling 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"--
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