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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 192.
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Lingua: Inglese
Editore: Spektrum Akademischer Verlag Gmbh, 2016
ISBN 10: 3658139129 ISBN 13: 9783658139124
Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 220 pages. 9.44x6.61x0.55 inches. In Stock.
Lingua: Inglese
Editore: Springer Fachmedien Wiesbaden, 2016
ISBN 10: 3658139129 ISBN 13: 9783658139124
Da: AHA-BUCH GmbH, Einbeck, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Andreas Bärmann develops novel approaches for the solution of network design problems as they arise in various contexts of applied optimization. At the example of an optimal expansion of the German railway network until 2030, the author derives a tailor-made decomposition technique for multi-period network design problems. Next, he develops a general framework for the solution of network design problems via aggregation of the underlying graph structure. This approach is shown to save much computation time as compared to standard techniques. Finally, the author devises a modelling framework for the approximation of the robust counterpart under ellipsoidal uncertainty, an often-studied case in the literature. Each of these three approaches opens up a fascinating branch of research which promises a better theoretical understanding of the problem and an increasing range of solvable application settings at the same time.
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 192.
Lingua: Inglese
Editore: Springer Fachmedien Wiesbaden Jun 2016, 2016
ISBN 10: 3658139129 ISBN 13: 9783658139124
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Andreas Bärmann develops novel approaches for the solution of network design problems as they arise in various contexts of applied optimization. At the example of an optimal expansion of the German railway network until 2030, the author derives a tailor-made decomposition technique for multi-period network design problems. Next, he develops a general framework for the solution of network design problems via aggregation of the underlying graph structure. This approach is shown to save much computation time as compared to standard techniques. Finally, the author devises a modelling framework for the approximation of the robust counterpart under ellipsoidal uncertainty, an often-studied case in the literature. Each of these three approaches opens up a fascinating branch of research which promises a better theoretical understanding of the problem and an increasing range of solvable application settings at the same time. 220 pp. Englisch.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 70,57
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 192.
Lingua: Inglese
Editore: Springer Fachmedien Wiesbaden, 2016
ISBN 10: 3658139129 ISBN 13: 9783658139124
Da: moluna, Greven, Germania
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A Study in the Field of MathematicsDr. Andreas Baermann is currently working as a postdoctoral researcher at the Friedrich-Alexander-Universitaet Erlangen-Nuernberg (FAU) at the chair of Economics, Discrete Optimization and Mathematics. His research.
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Andreas Bärmann develops novel approaches for the solution of network design problems as they arise in various contexts of applied optimization. At the example of an optimal expansion of the German railway network until 2030, the author derives a tailor-made decomposition technique for multi-period network design problems. Next, he develops a general framework for the solution of network design problems via aggregation of the underlying graph structure. This approach is shown to save much computation time as compared to standard techniques. Finally, the author devises a modelling framework for the approximation of the robust counterpart under ellipsoidal uncertainty, an often-studied case in the literature. Each of these three approaches opens up a fascinating branch of research which promises a better theoretical understanding of the problem and an increasing range of solvable application settings at the same time.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 220 pp. Englisch.