000			00862nam a22001577a 4500
003			OSt
005			20240314103509.0
008			240314b |||||||| |||| 00| 0 eng d
020			_a9781108842143
100			_aMendez, Miguel A.
245			_aData driven fluid mechanics: _bCombining first principles and machine learning _cMiguel A. Mendez, Andrea Ianiro, Bernd R. Noack and Steven L. Brunton
260			_aUnited Kingdom: _bCambridge University Press, _c2023.
300			_axviii,448p.
500			_aBig data and machine learning are driving profound technological progress across nearly every industry, and are rapidly shaping fluid mechanics research. This is a self-contained and pedagogical treatment of the data-driven tools that are leading research in model-order reduction, system identification, flow control, and turbulence closures.
942			_2ddc _cBK
999			_c23067 _d23067