000			03012nam a22004095i 4500
710	2		_aSpringerLink (Online service) _9106996
999			_c110865 _d110865
001			110865
003			ES-MaUEC
005			20230102113442.0
006			a||||fo|||| 00| 0
007			cr nn nnnaamaa
008			190301s2019 gw a o |||| 0|eng d
020			_a9783030053093
024	7		_a10.1007/978-3-030-05309-3 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aQA402.5 _b2019 EB
090		4	_aTK7881.15
100	1		_aFathi, Mohammad _9671122
245	1	0	_aOptimization in Electrical Engineering _cby Mohammad Fathi, Hassan Bevrani.
264		1	_aCham _bImprint: Springer _c2019
300			_a1 recurso en línea (IX, 174 páginas) _b60 ilustraciones, 43 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aEngineering (Springer-11647)
505	0		_aIntroduction -- Linear Algebra Review -- Set constrained Optimization -- Convex Programming -- Duality -- LMI-based Optimization -- Artificial intelligence and evolutionary algorithms based optimization.
520	3		_aThis textbook provides students, researchers, and engineers in the area of electrical engineering with advanced mathematical optimization methods. Presented in a readable format, this book highlights fundamental concepts of advanced optimization used in electrical engineering. Chapters provide a collection that ranges from simple yet important concepts such as unconstrained optimization to highly advanced topics such as linear matrix inequalities and artificial intelligence-based optimization methodologies. The reader is motivated to engage with the content via numerous application examples of optimization in the area of electrical engineering. The book begins with an extended review of linear algebra that is a prerequisite to mathematical optimization. It then precedes with unconstrained optimization, convex programming, duality, linear matrix inequality, and intelligent optimization methods. This book can be used as the main text in courses such as Engineering Optimization, Convex Engineering Optimization, Advanced Engineering Mathematics and Robust Optimization and will be useful for practicing design engineers in electrical engineering fields. Author provided cases studies and worked examples are included for student and instructor use.
650		7	_2embne _9145705 _aOptimización matemática
700	1		_aBevrani, Hassan. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iPrinted edition: _z9783030053086
776	0	8	_iPrinted edition: _z9783030053109
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-05309-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aPrimersemestre_2019_Engineering
998			_aSI _cm _dz _feng _ggw _h0 _b10/2019 _ek _zSI