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020 _a9780387711072
_99780387711072
024 7 _a10.1007/9780387711072
_2doi
035 _avtls000332107
039 9 _a201509030216
_bVLOAD
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040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQ342
100 1 _aAntoniou, Andreas.
_eautor
_9304743
245 1 0 _aPractical Optimization :
_bAlgorithms and Engineering Applications /
_cby Andreas Antoniou, Wu-Sheng Lu.
264 1 _aBoston, MA :
_bSpringer US,
_c2007.
300 _axIx, 669 páginas
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
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 _aPractical Optimization: Algorithms and Engineering Applications provides a hands-on treatment of the subject of optimization. A comprehensive set of problems and exercises makes the book suitable for use in one or two semesters of a first-year graduate course or an advanced undergraduate course. Each half of the book contains a full semester’s worth of complementary yet stand-alone material. The practical orientation of the topics chosen and a wealth of useful examples also make the book suitable as a reference work for practitioners in the field. Advancements in the efficiency of digital computers and the evolution of reliable software for numerical computation during the past three decades 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 too long ago. Key Features: extensively class-tested provides a complete teaching package with MATLAB exercises and online solutions to end-of-chapter problems includes recent methods of emerging interest such as semidefinite programming and second-order cone programming presents a unified treatment of unconstrained and constrained optimization uses a practical treatment of optimization accessible to broad audience, from college students to scientists and industry professionals provides a thorough appendix with background theory so non-experts can understand how applications are solved from point of view of optimization
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aLu, Wu-Sheng.
_eautor
_9304744
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780387711065
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-387-71107-2
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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