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Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming - Nikolaos Sahinidis#Mohit Tawarmalani
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Nikolaos Sahinidis#Mohit Tawarmalani:
Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming - nouveau livre

2002, ISBN: 9781402010316

ID: 205494534

Interest in constrained optimization originated with the simple linear pro­ gramming model since it was practical and perhaps the only computationally tractable model at the time. Constrained linear optimization models were soon adopted in numerous application areas and are perhaps the most widely used mathematical models in operations research and management science at the time of this writing. Modelers have, however, found the assumption of linearity to be overly restrictive in expressing the real-world phenomena and problems in economics, finance, business, communication, engineering design, computational biology, and other areas that frequently demand the use of nonlinear expressions and discrete variables in optimization models. Both of these extensions of the linear programming model are NP-hard, thus representing very challenging problems. On the brighter side, recent advances in algorithmic and computing technology make it possible to re­ visit these problems with the hope of solving practically relevant problems in reasonable amounts of computational time. Initial attempts at solving nonlinear programs concentrated on the de­ velopment of local optimization methods guaranteeing globality under the assumption of convexity. On the other hand, the integer programming liter­ ature has concentrated on the development of methods that ensure global optima. The aim of this book is to marry the advancements in solving nonlinear and integer programming models and to develop new results in the more general framework of mixed-integer nonlinear programs (MINLPs) with the goal of devising practically efficient global optimization algorithms for MINLPs. Theory, Algorithms, Software, and Applications Bücher > Fremdsprachige Bücher > Englische Bücher gebundene Ausgabe 31.10.2002 Buch (fremdspr.), Springer, .200

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Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming - Mohit Tawarmalani#Nikolaos Sahinidis
Livre non disponible
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Mohit Tawarmalani#Nikolaos Sahinidis:
Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming - nouveau livre

2002, ISBN: 9781402010316

ID: 678584834

Interest in constrained optimization originated with the simple linear pro­ gramming model since it was practical and perhaps the only computationally tractable model at the time. Constrained linear optimization models were soon adopted in numerous application areas and are perhaps the most widely used mathematical models in operations research and management science at the time of this writing. Modelers have, however, found the assumption of linearity to be overly restrictive in expressing the real-world phenomena and problems in economics, finance, business, communication, engineering design, computational biology, and other areas that frequently demand the use of nonlinear expressions and discrete variables in optimization models. Both of these extensions of the linear programming model are NP-hard, thus representing very challenging problems. On the brighter side, recent advances in algorithmic and computing technology make it possible to re­ visit these problems with the hope of solving practically relevant problems in reasonable amounts of computational time. Initial attempts at solving nonlinear programs concentrated on the de­ velopment of local optimization methods guaranteeing globality under the assumption of convexity. On the other hand, the integer programming liter­ ature has concentrated on the development of methods that ensure global optima. The aim of this book is to marry the advancements in solving nonlinear and integer programming models and to develop new results in the more general framework of mixed-integer nonlinear programs (MINLPs) with the goal of devising practically efficient global optimization algorithms for MINLPs. Theory, Algorithms, Software, and Applications Bücher > Fremdsprachige Bücher > Englische Bücher gebundene Ausgabe 31.10.2002, Springer, .200

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Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming - Mohit Tawarmalani
Livre non disponible
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Mohit Tawarmalani:
Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming - nouveau livre

ISBN: 9781402010316

[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - Interest in constrained optimization originated with the simple linear pro gramming model since it was practical and perhaps the only computationally tractable model at the time. Constrained linear optimization models were soon adopted in numerous application areas and are perhaps the most widely used mathematical models in operations research and management science at the time of this writing. Modelers have, however, found the assumption of linearity to be overly restrictive in expressing the real-world phenomena and problems in economics, finance, business, communication, engineering design, computational biology, and other areas that frequently demand the use of nonlinear expressions and discrete variables in optimization models. Both of these extensions of the linear programming model are NP-hard, thus representing very challenging problems. On the brighter side, recent advances in algorithmic and computing technology make it possible to re visit these problems with the hope of solving practically relevant problems in reasonable amounts of computational time. Initial attempts at solving nonlinear programs concentrated on the de velopment of local optimization methods guaranteeing globality under the assumption of convexity. On the other hand, the integer programming liter ature has concentrated on the development of methods that ensure global optima. The aim of this book is to marry the advancements in solving nonlinear and integer programming models and to develop new results in the more general framework of mixed-integer nonlinear programs (MINLPs) with the goal of devising practically efficient global optimization algorithms for MINLPs., [SC: 0.00], Neuware, gewerbliches Angebot, 246x165x26 mm, [GW: 1016g]

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Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming - Mohit Tawarmalani
Livre non disponible
(*)
Mohit Tawarmalani:
Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming - nouveau livre

ISBN: 9781402010316

[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - Interest in constrained optimization originated with the simple linear pro gramming model since it was practical and perhaps the only computationally tractable model at the time. Constrained linear optimization models were soon adopted in numerous application areas and are perhaps the most widely used mathematical models in operations research and management science at the time of this writing. Modelers have, however, found the assumption of linearity to be overly restrictive in expressing the real-world phenomena and problems in economics, finance, business, communication, engineering design, computational biology, and other areas that frequently demand the use of nonlinear expressions and discrete variables in optimization models. Both of these extensions of the linear programming model are NP-hard, thus representing very challenging problems. On the brighter side, recent advances in algorithmic and computing technology make it possible to re visit these problems with the hope of solving practically relevant problems in reasonable amounts of computational time. Initial attempts at solving nonlinear programs concentrated on the de velopment of local optimization methods guaranteeing globality under the assumption of convexity. On the other hand, the integer programming liter ature has concentrated on the development of methods that ensure global optima. The aim of this book is to marry the advancements in solving nonlinear and integer programming models and to develop new results in the more general framework of mixed-integer nonlinear programs (MINLPs) with the goal of devising practically efficient global optimization algorithms for MINLPs., [SC: 0.00], Neuware, gewerbliches Angebot, FixedPrice, [GW: 1016g]

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Convexification and Global Optimization in Continuous and Mixed-integer Nonlinear Programming - Mohit Tawarmalani; Nikolaos V. Sahinidis
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Mohit Tawarmalani; Nikolaos V. Sahinidis:
Convexification and Global Optimization in Continuous and Mixed-integer Nonlinear Programming - edition reliée, livre de poche

2002, ISBN: 9781402010316

ID: 4925713

Hardcover, Buch, [PU: Kluwer Academic Publishers]

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Détails sur le livre
Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming: Theory, Algorithms, Software, and Applications
Auteur:

Tawarmalani, Mohit; Sahinidis, Nikolaos V.; Tawarmalani, M.

Titre:

Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming: Theory, Algorithms, Software, and Applications

ISBN:

This book provides an insightful and comprehensive treatment of convexification and global optimization of continuous and mixed-integer nonlinear programs. Developed for students, researchers, and practitioners, the book covers theory, algorithms, software, and applications.

Informations détaillées sur le livre - Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming: Theory, Algorithms, Software, and Applications


EAN (ISBN-13): 9781402010316
ISBN (ISBN-10): 1402010311
Version reliée
Livre de poche
Date de parution: 2002
Editeur: SPRINGER VERLAG GMBH
504 Pages
Poids: 1,016 kg
Langue: eng/Englisch

Livre dans la base de données depuis 29.05.2007 05:31:20
Livre trouvé récemment le 02.07.2017 14:12:59
ISBN/EAN: 1402010311

ISBN - Autres types d'écriture:
1-4020-1031-1, 978-1-4020-1031-6


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