000			03928nam a2200445 i 4500
710	2		_aSpringerLink (Online service) _9106996
999			_c119317 _d119317
001			119317
003			ES-MaUEC
005			20230102113941.0
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007			cr nn nnnaamaa
008			200219s2020 gw | s |||| 0|eng d
020			_a9783030389260
024	7		_a10.1007/978-3-030-38926-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQC661 _b2020 EB
100	1		_aKoziel, Slawomir _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9673480
245	1	0	_aPerformance-Driven Surrogate Modeling of High-Frequency Structures _cby Slawomir Koziel, Anna Pietrenko-Dabrowska.
250			_aFirst edition 2020.
264		1	_aCham _bSpringer International Publishing _c2020
300			_a1 recurso en línea (XVI, 403 páginas) _b302 ilustraciones, 154 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aArchivo de texto _bPDF
490	0		_aEngineering (Springer-11647)
505	0		_aIntroduction -- Basics of data-driven surrogate modeling -- Physics-based surrogate modeling -- Design-oriented modeling of high-frequency structures -- Triangulation-based constrained modeling -- Nested kriging modeling -- Feature-based constrained modeling -- Variable-fidelity performance-driven modeling -- Constrained modeling for efficient multi-objective optimization -- Warm-start design optimization -- Summary and conclusion.
520	3		_aThis book discusses surrogate modeling of high-frequency structures including antenna and microwave components. The focus is on constrained or performance-driven surrogates. The presented techniques aim at addressing the limitations of conventional modeling methods, pertinent to the issues of dimensionality and parameter ranges that need to be covered by the surrogate to ensure its design utility. Within performance-driven methodologies, mitigation of these problems is achieved through appropriate confinement of the model domain, focused on the regions promising from the point of view of the relevant design objectives. This enables the construction of reliable surrogates at a fraction of cost required by conventional methods, and to accomplish the modeling tasks where other techniques routinely fail. The book provides a broad selection of specific frameworks, extensively illustrated using examples of real-world microwave and antenna structures along with numerous design examples. Furthermore, the book contains introductory material on data-driven and physics-based surrogates. The book will be useful for the readers working in the area of high-frequency electronics, including microwave engineering, antenna design, microwave photonics, magnetism, especially those that utilize electromagnetic (EM) simulation models in their daily routines. Covers performance-driven and constrained modeling methods, not available in other books to date; Discusses of a wide range of practical case studies including a variety of microwave and antenna structures; Includes design applications of the presented modeling frameworks, including single- and multi-objective parametric optimization.
988			_aSpringer_Engineering_31032020
650		7	_2embne _aOndas electromagnéticas _9138716
650		7	_2embne _aAntenas _9138526
700	1		_aPietrenko-Dabrowska, Anna _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9673481
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783030389253
776	0	8	_iPrinted edition: _z9783030389277
776	0	8	_iPrinted edition: _z9783030389284
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-38926-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2020 _dz _ek _zSI