000			02641cam a22003498i 4500
001			22371150
003			OSt
005			20240304101709.0
008			220104s2022 nyu b 001 0 eng
010			_a 2022000124
020			_a9781009098489 (hardback)
040			_aDLC _beng _erda _cDLC
042			_apcc
082	0	0	_a620.002856
100	1		_aBrunton, Steven L. _q(Steven Lee), _d1984- _eauthor.
245	1	0	_aData-driven science and engineering : _bmachine learning, dynamical systems, and control / _cSteven L. Brunton, University of Washington, J. Nathan Kutz, University of Washington.
263			_a2205
264		1	_aCambridge, United Kingdom, New York, NY : _bCambridge University Press, _c©2022.
300			_axxvii, 590 pages : _billustrations ; _c25 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
520			_a"Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and MATLAB, this textbook trains mathematical scientists and engineers for the next generation of scientific discovery by offering a broad overview of the growing intersection of data-driven methods, machine learning, applied optimization, and classical fields of engineering mathematics and mathematical physics. With a focus on integrating dynamical systems modeling and control with modern methods in applied machine learning, this text includes methods that were chosen for their relevance, simplicity, and generality. Topics range from introductory to research-level material, making it accessible to advanced undergraduate and beginning graduate students from the engineering and physical sciences. The second edition features new chapters on reinforcement learning and physics-informed machine learning, significant new sections throughout, and chapter exercises. Online supplementary material including lecture videos per section, homeworks, data, and codes in MATLAB, Python, and Julia available on databookuw.com"-- _cProvided by publisher.
650		0	_aEngineering _xData processing.
650		0	_aScience _xData processing.
700	1		_aKutz, Jose Nathan, _eauthor.
776	0	8	_iOnline version: _aBrunton, Steven L., (Steven Lee), 1984- _tData-driven science and engineering _dCambridge, United Kingdom, New York, NY : Cambridge University Press, 2022 _z9781009089517 _w(DLC) 2022000125
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK _n0
999			_c484935 _d484935