000			03525nam a22004935i 4500
001			978-0-387-40065-5
003			DE-He213
005			20250710083959.0
007			cr nn 008mamaa
008			100301s2006 xxu| s |||| 0|eng d
020			_a9780387400655 _a99780387400655
024	7		_a10.1007/978-0-387-40065-5 _2doi
082	0	4	_a515.64 _223
100	1		_aNocedal, Jorge. _eauthor.
245	1	0	_aNumerical Optimization _h[recurso electrónico] / _cby Jorge Nocedal, Stephen J. Wright.
250			_aSecond Edition.
264		1	_aNew York, NY : _bSpringer New York, _c2006.
300			_aXXII, 664 p. 85 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringer Series in Operations Research and Financial Engineering, _x1431-8598
505	0		_aFundamentals of Unconstrained Optimization -- Line Search Methods -- Trust-Region Methods -- Conjugate Gradient Methods -- Quasi-Newton Methods -- Large-Scale Unconstrained Optimization -- Calculating Derivatives -- Derivative-Free Optimization -- Least-Squares Problems -- Nonlinear Equations -- Theory of Constrained Optimization -- Linear Programming: The Simplex Method -- Linear Programming: Interior-Point Methods -- Fundamentals of Algorithms for Nonlinear Constrained Optimization -- Quadratic Programming -- Penalty and Augmented Lagrangian Methods -- Sequential Quadratic Programming -- Interior-Point Methods for Nonlinear Programming.
520			_aNumerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems. For this new edition the book has been thoroughly updated throughout. There are new chapters on nonlinear interior methods and derivative-free methods for optimization, both of which are used widely in practice and the focus of much current research. Because of the emphasis on practical methods, as well as the extensive illustrations and exercises, the book is accessible to a wide audience. It can be used as a graduate text in engineering, operations research, mathematics, computer science, and business. It also serves as a handbook for researchers and practitioners in the field. The authors have strived to produce a text that is pleasant to read, informative, and rigorous - one that reveals both the beautiful nature of the discipline and its practical side.
650		0	_aMATHEMATICS.
650		0	_aSYSTEMS THEORY.
650		0	_aCOMPUTER SCIENCE _xMATHEMATICS.
650		0	_aMATHEMATICAL OPTIMIZATION.
650	1	4	_aMATHEMATICS.
650	2	4	_aCALCULUS OF VARIATIONS AND OPTIMAL CONTROL; OPTIMIZATION.
650	2	4	_aSYSTEMS THEORY, CONTROL.
650	2	4	_aCOMPUTATIONAL MATHEMATICS AND NUMERICAL ANALYSIS.
650	2	4	_aOPERATIONS RESEARCH/DECISION THEORY.
700	1		_aWright, Stephen J. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387303031
830		0	_aSpringer Series in Operations Research and Financial Engineering, _x1431-8598
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-40065-5 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SMA
942			_2ddc _cER
999			_c57647 _d57647