. .
English
United States
Similar books
More/other books that might be very similar to this book
Search tools
Sign in
Share this book on...
Book recommendations
Latest news
Tip from find-more-books.com
Advertising
FILTER
- 0 Results
Lowest price: 255.73 €, highest price: 298.83 €, average price: 276.41 €
Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming - Nikolaos Sahinidis#Mohit Tawarmalani
book is out-of-stock
(*)
Nikolaos Sahinidis#Mohit Tawarmalani:
Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming - new book

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

New book Buch.ch
No. 6388896 Shipping costs:zzgl. Versandkosten, plus shipping costs
Details...
(*) Book out-of-stock means that the book is currently not available at any of the associated platforms we search.
Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming - Mohit Tawarmalani#Nikolaos Sahinidis
book is out-of-stock
(*)
Mohit Tawarmalani#Nikolaos Sahinidis:
Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming - new book

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

New book Buch.ch
No. 6388896 Shipping costs:zzgl. Versandkosten, plus shipping costs
Details...
(*) Book out-of-stock means that the book is currently not available at any of the associated platforms we search.
Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming - Mohit Tawarmalani
book is out-of-stock
(*)
Mohit Tawarmalani:
Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming - new book

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]

New book Booklooker.de
Carl Hübscher GmbH
Shipping costs:Versandkostenfrei (EUR 0.00)
Details...
(*) Book out-of-stock means that the book is currently not available at any of the associated platforms we search.
Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming - Mohit Tawarmalani
book is out-of-stock
(*)
Mohit Tawarmalani:
Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming - new book

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]

New book Booklooker.de
Buchhandlung Kühn GmbH
Shipping costs:Versandkostenfrei, Versand nach Deutschland (EUR 0.00)
Details...
(*) Book out-of-stock means that the book is currently not available at any of the associated platforms we search.
Convexification and Global Optimization in Continuous and Mixed-integer Nonlinear Programming - Mohit Tawarmalani; Nikolaos V. Sahinidis
book is out-of-stock
(*)
Mohit Tawarmalani; Nikolaos V. Sahinidis:
Convexification and Global Optimization in Continuous and Mixed-integer Nonlinear Programming - hardcover

2002, ISBN: 9781402010316

ID: 4925713

Hardcover, Buch, [PU: Kluwer Academic Publishers]

New book Lehmanns.de
Shipping costs:sofort lieferbar, , Versandkostenfrei innerhalb der BRD (EUR 0.00)
Details...
(*) Book out-of-stock means that the book is currently not available at any of the associated platforms we search.

Details of the book
Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming: Theory, Algorithms, Software, and Applications
Author:

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

Title:

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.

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


EAN (ISBN-13): 9781402010316
ISBN (ISBN-10): 1402010311
Hardcover
Paperback
Publishing year: 2002
Publisher: SPRINGER VERLAG GMBH
504 Pages
Weight: 1,016 kg
Language: eng/Englisch

Book in our database since 29.05.2007 05:31:20
Book found last time on 02.07.2017 14:12:59
ISBN/EAN: 1402010311

ISBN - alternate spelling:
1-4020-1031-1, 978-1-4020-1031-6


< to archive...
Related books