000			01456nmm a2200193Ia 4500
008			220920s9999||||xx |||||||||||||| ||und||
020			_a9781108380690
082			_a620.00285 _bB838D
100			_aBrunton, S. L. _eAuthor _lEnglish _91989
245		0	_aData - Driven Science and Engineering _b: Machine Learning, Dynamical Systems, and Control _c/ by S. L. Brunton and J. N. Kutz. _h[Electronic Resource]
260			_aCambridge _b: Cambridge University Press, _c2019
300			_axxii, 472p.
520			_aData-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.
650			_aComputational Science _915767
650			_aEngineering _9406
700			_aKutz, J. N. _i[Author] _91991
856			_uhttps://doi.org/10.1017/9781108380690 _qPDF _yClick to Access the Online Book
942			_cEBK _nYes
999			_c12288 _d12288