Isbn: 9783031545528 - modeling with stochastic programming (8 risultati)

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    • Lingua: Inglese

      Editore: Springer, 2025

      3031545524 / 9783031545528

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    • Lingua: Inglese

      Editore: Springer, 2025

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      Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This is an updated version of what is still the only text to address basic questions about how tomodel uncertainty in mathematical programming, including how to reformulate a deterministic model so that it can be analyzed in a stochastic setting. This second edition has important extensions regarding how to representrandom phenomena in the models (also called scenario generation) as well as a new chapter on multi-stage models.This text would be suitable as astand-alone or supplement for a second course in OR/MS or in optimization-oriented engineering disciplines where the instructor wants to explain where models come from and what the fundamental modeling issues are.The book is easy-to-read, highly illustrated with lots of examples and discussions. It will be suitable for graduate students and researchers working in operations research, mathematics, engineering and related departments where there is interest in learning how to model uncertainty.Alan King is a Research Staff Member at IBM's Thomas J. Watson Research Center in New York.Stein W. Wallace is a Professor of Operational Research and head of Center for Shipping and Logistics at NHH Norwegian School of Economics, Bergen, Norway.

    • Lingua: Inglese

      Editore: Springer, 2025

      3031545524 / 9783031545528

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      Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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    • Lingua: Inglese

      Editore: Springer, Springer Jun 2025, 2025

      3031545524 / 9783031545528

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      Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This is an updated version of what is still the only text to address basic questions about how tomodel uncertainty in mathematical programming, including how to reformulate a deterministic model so that it can be analyzed in a stochastic setting. This second edition has important extensions regarding how to representrandom phenomena in the models (also called scenario generation) as well as a new chapter on multi-stage models.This text would be suitable as astand-alone or supplement for a second course in OR/MS or in optimization-oriented engineering disciplines where the instructor wants to explain where models come from and what the fundamental modeling issues are.The book is easy-to-read, highly illustrated with lots of examples and discussions. It will be suitable for graduate students and researchers working in operations research, mathematics, engineering and related departments where there is interest in learning how to model uncertainty.Alan King is a Research Staff Member at IBM's Thomas J. Watson Research Center in New York.Stein W. Wallace is a Professor of Operational Research and head of Center for Shipping and Logistics at NHH Norwegian School of Economics, Bergen, Norway. 220 pp. Englisch.

    • Lingua: Inglese

      Editore: Springer, 2025

      3031545524 / 9783031545528

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      Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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    • Lingua: Inglese

      Editore: Springer, 2025

      3031545524 / 9783031545528

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      Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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    • Lingua: Inglese

      Editore: Springer Verlag GmbH, 2025

      3031545524 / 9783031545528

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      Da: moluna, Greven, Germaniamoluna

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      Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

    • Lingua: Inglese

      Editore: Springer, Springer Jun 2025, 2025

      3031545524 / 9783031545528

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      Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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      EUR 64,19

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      Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This is an updated version of what is still the only text to address basic questions about how to model uncertainty in mathematical programming, including how to reformulate a deterministic model so that it can be analyzed in a stochastic setting. This second edition has important extensions regarding how to represent random phenomena in the models (also called scenario generation) as well as a new chapter on multi-stage models.This text would be suitable as a stand-alone or supplement for a second course in OR/MS or in optimization-oriented engineering disciplines where the instructor wants to explain where models come from and what the fundamental modeling issues are.The book is easy-to-read, highly illustrated with lots of examples and discussions. It will be suitable for graduate students and researchers working in operations research, mathematics, engineering and related departments where there is interest in learning how to model uncertainty.Alan King is a Research Staff Member at IBM's Thomas J. Watson Research Center in New York.Stein W. Wallace is a Professor of Operational Research and head of Center for Shipping and Logistics at NHH Norwegian School of Economics, Bergen, Norway.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 220 pp. Englisch.