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008			211019s2021 xxu| s |||| 0|eng d
020			_a9781071608432
024	7		_a10.1007/978-1-0716-0843-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA330 _b2021 EB
100	1		_aAntoniou, Andreas, _9681473 _d1938-
245	1	0	_aPractical Optimization _bAlgorithms and Engineering Applications _cby Andreas Antoniou, Wu-Sheng Lu.
250			_aSecond edition 2021
264		1	_aNew York, NY _bSpringer International Publising _bSpringer International Publising _c2021.
300			_a1 recurso en línea (XXIV, 722 páginas) _b154 ilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aTexts in Computer Science _x1868-095X
490	0		_aComputer Science (SpringerNature-11645)
490	0		_aComputer Science (R0) (SpringerNature-43710)
505	0		_aThe Optimization Problem -- Basic Principles -- General Properties of Algorithms -- One-Dimensional Optimization -- Basic Multidimensional Gradient Methods -- Conjugate-Direction Methods -- Quasi-Newton Methods -- Minimax Methods -- Applications of Unconstrained Optimization -- Fundamentals of Constrained Optimization -- Linear Programming Part I: The Simplex Method -- Linear Programming Part II: Interior-Point Methods -- Quadratic and Convex Programming -- Semidefinite and Second-Order Cone Programming -- General Nonlinear Optimization Problems -- Applications of Constrained Optimization.
520	3		_aIn recent decades, advancements in the efficiency of digital computers and the evolution of reliable software for numerical computation have led to a rapid growth in the theory, methods, and algorithms of numerical optimization. This body of knowledge has motivated widespread applications of optimization methods in many disciplines (e.g., engineering, business, and science) and has subsequently led to problem solutions that were considered intractable not long ago. This unique and comprehensive textbook provides an extensive and practical treatment of the subject of optimization. Each half of the book contains a full semester's worth of complementary, yet stand-alone material. In this substantially enhanced second edition, the authors have added sections on recent innovations, techniques, methodologies, and many problems and examples. These features make the book suitable for use in one or two semesters of a first-year graduate course or an advanced undergraduate course. Key features: proven and extensively class-tested content presents a unified treatment of unconstrained and constrained optimization, making it a dual-use textbook introduces new material on convex programming, sequential quadratic programming, alternating direction methods of multipliers (ADMM), and convex-concave procedures includes methods such as semi-definite and second-order cone programming adds new material to state-of-the-art applications for both unconstrained and constrained optimization provides a complete teaching package with many MATLAB examples and online solutions to the end-of-chapter problems uses a practical and accessible treatment of optimization provides two appendices that cover background theory so that non-experts can understand the underlying theory With its strong and practical treatment of optimization, this significantly enhanced revision of a classic textbook will be indispensable to the learning of university and college students and will also serve as a useful reference volume for scientists and industry professionals. Andreas Antoniou is Professor Emeritus in the Dept. of Electrical and Computer Engineering at the University of Victoria, Canada. Wu-Sheng Lu is Professor in the same department and university.
988			_aSpringer_Computer_2021
650		7	_2embne _aIngeniería _9670301
700	1		_aLu, Wu-Sheng _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iPrinted edition: _z9781071608418
776	0	8	_iPrinted edition: _z9781071608425
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-0716-0843-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2022 _dz _eh _zSI