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020 _a9780387329420
_99780387329420
024 7 _a10.1007/0387329420
_2doi
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039 9 _a201509030727
_bVLOAD
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040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aHD30.23
100 1 _aAppa, Gautam.
_eeditor.
_9301596
245 1 0 _aHandbook on Modelling for Discrete Optimization /
_cedited by Gautam Appa, Leonidas Pitsoulis, H. Paul Williams.
264 1 _aBoston, MA :
_bSpringer US,
_c2006.
300 _axxii, 429 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 _aInternational Series in Operations Research & Management Science,
_x0884-8289 ;
_v88
500 _aSpringer eBooks
505 0 _aMethods -- The Formulation and Solution of Discrete Optimisation Models -- Continuous Approaches for Solving Discrete Optimization Problems -- Logic-Based Modeling -- Modelling for Feasibility - the Case of Mutually Orthogonal Latin Squares Problem -- Network Modelling -- Modeling and Optimization of Vehicle Routing and Arc Routing Problems -- Applications -- Radio Resource Management -- Strategic and Tactical Planning Models for Supply Chain: An Application of Stochastic Mixed Integer Programming -- Logic Inference and a Decomposition Algorithm for the Resource-Constrained Scheduling of Testing Tasks in the Development of New Pharmaceutical and Agrochemical Products -- A Mixed-Integer Nonlinear Programming Approach to the Optimal Planning of Offshore Oilfield Infrastructures -- Radiation Treatment Planning: Mixed Integer Programming Formulations and Approaches -- Multiple Hypothesis Correlation in Track-to-Track Fusion Management -- Computational Molecular Biology.
520 _aThe primary objective underlying the Handbook on Modelling for Discrete Optimization is to demonstrate and detail the pervasive nature of Discrete Optimization. While its applications cut across an incredibly wide range of activities, many of the applications are only known to specialists. It is the aim of this handbook to correct this. It has long been recognized that "modelling" is a critically important mathematical activity in designing algorithms for solving these discrete optimization problems. Nevertheless solving the resultant models is also often far from straightforward. In recent years it has become possible to solve many large-scale discrete optimization problems. However, some problems remain a challenge, even though advances in mathematical methods, hardware, and software technology have pushed the frontiers forward. This handbook couples the difficult, critical-thinking aspects of mathematical modeling with the hot area of discrete optimization. It will be done in an academic handbook treatment outlining the state-of-the-art for researchers across the domains of the Computer Science, Math Programming, Applied Mathematics, Engineering, and Operations Research. Included in the handbook's treatment are results from Graph Theory, Logic, Computer Science, and Combinatorics. The chapters of this book are divided into two parts: (1) one dealing with general methods in the modelling of discrete optimization problems and (2) the other with specific applications. The first chapter of this volume, written by H. Paul Williams, can be regarded as a basic introduction of how to model discrete optimization problems as mixed integer problems, and outlines the main methods of solving them. In the second part of the book various real life applications are presented, most of them formulated as mixed integer linear or nonlinear programming problems. These applications include network problems, constant logic problems, many engineering problems, computer design, finance problems, medical diagnosis and medical treatment problems, applications of the Genome project, an array of transportation scheduling problems, and other applications. Further information including a detailed Table of Contents and Preface can be found and examined on the Handbook's web pages at http://www.springer.com/0-387-32941-2.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aPitsoulis, Leonidas S.
_eeditor.
_9301597
700 1 _aWilliams, H. Paul.
_eeditor.
_9301598
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780387329413
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/0-387-32942-0
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999 _c278180
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