Nonlinear Integer Programming
Li, Duan; Sun, Xiaoling
ISBN 10: 0387295038 ISBN 13: 9780387295039
Edité par Springer-Verlag New York Inc., 2006
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Investigates theory and solution methodologies for general nonlinear integer programming. This book discusses duality theory for nonlinear integer programming. It explains and demonstrates Convergent Lagrangian and cutting methods for separable nonlinear integer programming. Series: International Series in Operations Research & Management Science. Num Pages: 438 pages, 52 black & white tables, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 25. Weight in Grams: 824. . 2006. Hardback. . . . . Books ship from the US and Ireland. N° de réf. du vendeur V9780387295039
Synopsis :
It is not an exaggeration that much of what people devote in their hfe re- solves around optimization in one way or another. On one hand, many decision making problems in real applications naturally result in optimization problems in a form of integer programming. On the other hand, integer programming has been one of the great challenges for the optimization research community for many years, due to its computational difficulties: Exponential growth in its computational complexity with respect to the problem dimension. Since the pioneering work of R. Gomory [80] in the late 1950s, the theoretical and methodological development of integer programming has grown by leaps and bounds, mainly focusing on linear integer programming. The past few years have also witnessed certain promising theoretical and methodological achieve- ments in nonlinear integer programming. When the first author of this book was working on duality theory for n- convex continuous optimization in the middle of 1990s, Prof. Douglas J. White suggested that he explore an extension of his research results to integer pro- gramming. The two authors of the book started their collaborative work on integer programming and global optimization in 1997. The more they have investigated in nonlinear integer programming, the more they need to further delve into the subject. Both authors have been greatly enjoying working in this exciting and challenging field.
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Titre : Nonlinear Integer Programming
Éditeur : Springer-Verlag New York Inc.
Date d'édition : 2006
Reliure : Couverture rigide
Etat : New
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Nonlinear Integer Programming (International Series in Operations Research & Management Science, 84).
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A combination of both Integer Programming and Nonlinear Optimization. Therefore, it will be a powerful book that surveys the field and provides a state-of-the-art treatment of Nonlinear Integer ProgrammingThe first book available on the area. As t. N° de réf. du vendeur 5909803
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Buch. Etat : Neu. Nonlinear Integer Programming | Duan Li (u. a.) | Buch | xxii | Englisch | 2006 | Springer | EAN 9780387295039 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 102220652
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Buch. Etat : Neu. Neuware -It is not an exaggeration that much of what people devote in their hfe re solves around optimization in one way or another. On one hand, many decision making problems in real applications naturally result in optimization problems in a form of integer programming. On the other hand, integer programming has been one of the great challenges for the optimization research community for many years, due to its computational difficulties: Exponential growth in its computational complexity with respect to the problem dimension. Since the pioneering work of R. Gomory [80] in the late 1950s, the theoretical and methodological development of integer programming has grown by leaps and bounds, mainly focusing on linear integer programming. The past few years have also witnessed certain promising theoretical and methodological achieve ments in nonlinear integer programming. When the first author of this book was working on duality theory for n- convex continuous optimization in the middle of 1990s, Prof. Douglas J. White suggested that he explore an extension of his research results to integer pro gramming. The two authors of the book started their collaborative work on integer programming and global optimization in 1997. The more they have investigated in nonlinear integer programming, the more they need to further delve into the subject. Both authors have been greatly enjoying working in this exciting and challenging field.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 464 pp. Englisch. N° de réf. du vendeur 9780387295039
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