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020 _a9780387267715
_9978-0-387-26771-5
024 7 _a10.1007/b137941
_2doi
035 _avtls000330311
039 9 _a201509030433
_bVLOAD
_c201405070509
_dVLOAD
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050 4 _aQA402.5-402.6
100 1 _aJeyakumar, Vaithilingam.
_eeditor.
_9301860
245 1 0 _aContinuous Optimization :
_bCurrent Trends and Modern Applications /
_cedited by Vaithilingam Jeyakumar, Alexander Rubinov.
264 1 _aBoston, MA :
_bSpringer US,
_c2005.
300 _aXVIII, 450 páginas,
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aApplied Optimization,
_x1384-6485 ;
_v99
500 _aSpringer eBooks
505 0 _aSurveys -- Linear Semi-infinite Optimization: Recent Advances -- Some Theoretical Aspects of Newton’s Method for Constrained Best Interpolation -- Optimization Methods in Direct and Inverse Scattering -- On Complexity of Stochastic Programming Problems -- Nonlinear Optimization in Modeling Environments -- Supervised Data Classification via Max-min Separability -- A Review of Applications of the Cutting Angle Methods -- Theory and Numerical Methods -- A Numerical Method for Concave Programming Problems -- Convexification and Monotone Optimization -- Generalized Lagrange Multipliers for Nonconvex Directionally Differentiable Programs -- Slice Convergence of Sums of Convex functions in Banach Spaces and Saddle Point Convergence -- Topical Functions and their Properties in a Class of Ordered Banach Spaces -- Applications -- Dynamical Systems Described by Relational Elasticities with Applications -- Impulsive Control of a Sequence of Rumour Processes -- Minimization of the Sum of Minima of Convex Functions and Its Application to Clustering -- Analysis of a Practical Control Policy for Water Storage in Two Connected Dams.
520 _aThe search for the best possible performance is inherent in human nature. Individuals, enterprises and governments all seek optimal—that is, the best—possible solutions of problems that they meet. Evidently, continuous optimization plays an increasingly significant role in everyday management and technical decisions in science, engineering and commerce. The collection of 16 refereed papers in this book covers a diverse number of topics and provides a good picture of recent research in continuous optimization. The first part of the book presents substantive survey articles in a number of important topic areas of continuous optimization. Most of the papers in the second part present results on the theoretical aspects as well as numerical methods of continuous optimization. The papers in the third part are mainly concerned with applications of continuous optimization. Hence, the book will be an additional valuable source of information to faculty, students, and researchers who use continuous optimization to model and solve problems. Audience This book is intended for researchers in mathematical programming, optimization and operations research; engineers in various fields; and graduate students in applied mathematics, engineering and operations research.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aRubinov, Alexander.
_eeditor.
_9301861
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780387267692
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/b137941
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c278314
_d278314