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008			260222s2022 enk ob 001 0 eng
020			_a9781108833417 _q(ebook)
020			_z9781108833417 _q(hardback)
040			_aDLC _beng _cDLC _erda _dBD-DhIUB
082	0	0	_a620.0042 _223 _bM375e
100	1		_aMartins, Joaquim R. R. A., _eauthor.
245	1	0	_aEngineering design optimization / _cJoaquim R. R. A. Martins, Andrew Ning.
260			_aUnited Kingdom: _bCambridge University Press, _c2022
300			_a1 online resource
504			_aIncludes bibliographical references and index.
505	0		_aA short history of optimization -- Numerical models and solvers -- Unconstrained gradient-based optimization -- Constrained gradient-based optimization -- Computing derivatives -- Gradient-free optimization -- Discrete optimization -- Multiobjective optimization -- Surrogate-based optimization -- Convex optimization -- Optimization under uncertainty -- Multidisciplinary design optimization.
520			_a"Based on course-tested material, this rigorous yet accessible graduate textbook covers both fundamental and advanced optimization theory and algorithms. It covers a wide range of numerical methods and topics, including both gradient-based and gradient-free algorithms, multidisciplinary design optimization, and uncertainty, with instruction on how to determine which algorithm should be used for a given application. It also provides an overview of models and how to prepare them for use with numerical optimization, including derivative computation. Over 200 high-quality visualizations and numerous examples facilitate understanding of the theory, and practical tips address common issues encountered in practical engineering design optimization and how to address them. Numerous end-of-chapter homework problems, progressing in difficulty, help put knowledge into practice"--
526			_aCSE _bps _lREF
541			_aTRIM
650		0	_aEngineering design _xMathematical models.
650		0	_aMathematical optimization.
650		0	_aMultidisciplinary design optimization.
650		7	_aMATHEMATICS / Optimization _2bisacsh
700	1		_aNing, S. Andrew _q(Simeon Andrew), _eauthor.
776	0	8	_iPrint version: _aMartins, Joaquim R. R. A. _tEngineering design optimization _dCambridge ; New York, NY : Cambridge University Press, 2021 _z9781108833417 _w(DLC) 2021024825
942			_2ddc _cBK
999			_c57706 _d57880