Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
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Published by BiblioScholar 2012-10-03, 2012
ISBN 10: 1249586763 ISBN 13: 9781249586760
Language: English
Seller: Chiron Media, Wallingford, United Kingdom
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: moluna, Greven, Germany
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Add to basketCondition: New. KlappentextrnrnThe LP recourse problem applies to two-stage optimization problems where uncertainty in resource availability of the second stage hinders informed decision making. The recourse function affords a way to compensate later for an e.
Published by Creative Media Partners, LLC Okt 2012, 2012
ISBN 10: 1249586763 ISBN 13: 9781249586760
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketTaschenbuch. Condition: Neu. Neuware - The LP recourse problem applies to two-stage optimization problems where uncertainty in resource availability of the second stage hinders informed decision making. The recourse function affords a way to compensate 'later' for an error in prediction 'now.' The literature provides a rich body of work on the optimization of such problems, but little research has been accomplished regarding the characterization of the surface in the local region of optimality, in particular sensitivity analysis. A decision maker faced with considerations other than the modeled objective function must be presented with a way to estimate the impact of operating at non-optimal decision variable values. This work develops and demonstrates a technique for characterizing the surface using response surface methodology. Specifically, the flexibility and utility of RSM techniques applied to this class of problems is demonstrated, and a methodology for characterizing the surface in the local region using a low-order polynomial is developed.
Seller: Mispah books, Redhill, SURRE, United Kingdom
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Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 211.