Advances in Sensitivity Analysis and Parametric Programming (International Series in Operations Research & Management Science, 6) - Hardcover
Book 8 of 323: International Series in Operations Research & Management Science
Synopsis
The standard view of Operations Research/Management Science (OR/MS) dichotomizes the field into deterministic and probabilistic (nondeterministic, stochastic) subfields. This division can be seen by reading the contents page of just about any OR/MS textbook. The mathematical models that help to define OR/MS are usually presented in terms of one subfield or the other. This separation comes about somewhat artificially: academic courses are conveniently subdivided with respect to prerequisites; an initial overview of OR/MS can be presented without requiring knowledge of probability and statistics; text books are conveniently divided into two related semester courses, with deterministic models coming first; academics tend to specialize in one subfield or the other; and practitioners also tend to be expert in a single subfield. But, no matter who is involved in an OR/MS modeling situation (deterministic or probabilistic - academic or practitioner), it is clear that a proper and correct treatment of any problem situation is accomplished only when the analysis cuts across this dichotomy.
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Review
`... well-organized book can be highly recommended to all who are engaged in operations research and decision making with incomplete information and/or multiple criteria. I do not hesitate to congratulate the two editors on their excellent work.'
OR Spektrum, 22 (2000)
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Advances in Sensitivity Analysis and Parametric Programming
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Hardcover. Condition: Bon. Ancien livre de bibliothèque. Traces d'usure sur la couverture. Edition 1997. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Signs of wear on the cover. Edition 1997. Ammareal gives back up to 15% of this item's net price to charity organizations. Seller Inventory # E-505-661
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Advances in Sensitivity Analysis and Parametric Programming
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Kluwer Academic Publishers, 1997
ISBN 10: 079239917X
ISBN 13: 9780792399179
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Condition: Sehr gut - gebraucht. Gebundene Ausgabe Sehr guter Zustand, ohne Namenseintrag, Zustand: 2, Sehr gut - gebraucht, Gebundene Ausgabe Kluwer Academic Publishers , 1997 , Advances in Sensitivity Analysis and Parametric Programming, Tomas Gal, H. J. Greenberg. Seller Inventory # BU314042
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Advances in Sensitivity Analysis and Parametric Programming
Seller: Buchpark, Trebbin, Germany
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 608 | Sprache: Englisch | Produktart: Bücher | The standard view of Operations Research/Management Science (OR/MS) dichotomizes the field into deterministic and probabilistic (nondeterministic, stochastic) subfields. This division can be seen by reading the contents page of just about any OR/MS textbook. The mathematical models that help to define OR/MS are usually presented in terms of one subfield or the other. This separation comes about somewhat artificially: academic courses are conveniently subdivided with respect to prerequisites; an initial overview of OR/MS can be presented without requiring knowledge of probability and statistics; text books are conveniently divided into two related semester courses, with deterministic models coming first; academics tend to specialize in one subfield or the other; and practitioners also tend to be expert in a single subfield. But, no matter who is involved in an OR/MS modeling situation (deterministic or probabilistic - academic or practitioner), it is clear that a proper and correct treatment of any problem situation is accomplished only when the analysis cuts across this dichotomy. Seller Inventory # 3011550/202
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Advances in Sensitivity Analysis and Parametric Programming
Seller: Buchpark, Trebbin, Germany
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Condition: Gut. Zustand: Gut | Seiten: 608 | Sprache: Englisch | Produktart: Bücher | The standard view of Operations Research/Management Science (OR/MS) dichotomizes the field into deterministic and probabilistic (nondeterministic, stochastic) subfields. This division can be seen by reading the contents page of just about any OR/MS textbook. The mathematical models that help to define OR/MS are usually presented in terms of one subfield or the other. This separation comes about somewhat artificially: academic courses are conveniently subdivided with respect to prerequisites; an initial overview of OR/MS can be presented without requiring knowledge of probability and statistics; text books are conveniently divided into two related semester courses, with deterministic models coming first; academics tend to specialize in one subfield or the other; and practitioners also tend to be expert in a single subfield. But, no matter who is involved in an OR/MS modeling situation (deterministic or probabilistic - academic or practitioner), it is clear that a proper and correct treatment of any problem situation is accomplished only when the analysis cuts across this dichotomy. Seller Inventory # 3011550/3
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Advances in Sensitivity Analysis and Parametric Programming
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The standard view of Operations Research/Management Science (OR/MS) dichotomizes the field into deterministic and probabilistic (nondeterministic, stochastic) subfields. This division can be seen by reading the contents page of just about any OR/MS textbook. Seller Inventory # 5971818
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Advances in Sensitivity Analysis and Parametric Programming (International Series in Operations Research & Management Science, 6)
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Advances in Sensitivity Analysis and Parametric Programming (Hardcover)
Published by
Kluwer Academic Publishers, Dordrecht, 1997
ISBN 10: 079239917X
ISBN 13: 9780792399179
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Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Hardcover. Condition: new. Hardcover. The numerous advances in mathematical programming have opened up new insights about sensitivity analysis. The paradigm "What if.?" question is no longer the only question of interest. Often, we want to know "Why.?" and "Why not.?". Such questions were not analyzed in the early years of mathematical programming to the same extent that they are now, and we have not only expanded our thinking about "post-optimal analysis", but also about "solution analysis", even if the solution obtained is not optimal. Therefore, it is now time to examine all the recent advances on sensitivity analysis and parametric programming. This book combines the origins of sensitivity analysis with current developments in the field. It covers much of the traditional approaches with a modern perspective, and shows recent results using the optimal partition approach, stemming from interior methods, for both linear and quadratic programming. Also examined is the special case of network models. This text could also be said to present a neglected topic in qualitative sensitivity analysis, as well as elements of mixed integer programming, and to give a modern perspective of nonlinear programming.It provides recent advances in multi-criteria mathematical programming and also describes the state-of-the-art in stochastic programming. It covers recent advances in understanding redundancy in quadratic programs, considers an approach to diagnosing infeasibility in linear and nonlinear programs, and gives an overview of sensitivity analysis for fuzzy mathematical programming. The standard view of Operations Research/Management Science (OR/MS) dichotomizes the field into deterministic and probabilistic (nondeterministic, stochastic) subfields. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780792399179
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Advances in Sensitivity Analysis and Parametric Programming
Print on DemandSeller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The standard view of Operations Research/Management Science (OR/MS) dichotomizes the field into deterministic and probabilistic (nondeterministic, stochastic) subfields. This division can be seen by reading the contents page of just about any OR/MS textbook. The mathematical models that help to define OR/MS are usually presented in terms of one subfield or the other. This separation comes about somewhat artificially: academic courses are conveniently subdivided with respect to prerequisites; an initial overview of OR/MS can be presented without requiring knowledge of probability and statistics; text books are conveniently divided into two related semester courses, with deterministic models coming first; academics tend to specialize in one subfield or the other; and practitioners also tend to be expert in a single subfield. But, no matter who is involved in an OR/MS modeling situation (deterministic or probabilistic - academic or practitioner), it is clear that a proper and correct treatment of any problem situation is accomplished only when the analysis cuts across this dichotomy. 608 pp. Englisch. Seller Inventory # 9780792399179
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Advances in Sensitivity Analysis and Parametric Programming
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Buch. Condition: Neu. Advances in Sensitivity Analysis and Parametric Programming | Tomas Gal (u. a.) | Buch | xxiii | Englisch | 1997 | Springer | EAN 9780792399179 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Seller Inventory # 102548689
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Advances in Sensitivity Analysis and Parametric Programming
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Springer US, Springer US Mai 1997, 1997
ISBN 10: 079239917X
ISBN 13: 9780792399179
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The standard view of Operations Research/Management Science (OR/MS) dichotomizes the field into deterministic and probabilistic (nondeterministic, stochastic) subfields. This division can be seen by reading the contents page of just about any OR/MS textbook. The mathematical models that help to define OR/MS are usually presented in terms of one subfield or the other. This separation comes about somewhat artificially: academic courses are conveniently subdivided with respect to prerequisites; an initial overview of OR/MS can be presented without requiring knowledge of probability and statistics; text books are conveniently divided into two related semester courses, with deterministic models coming first; academics tend to specialize in one subfield or the other; and practitioners also tend to be expert in a single subfield. But, no matter who is involved in an OR/MS modeling situation (deterministic or probabilistic - academic or practitioner), it is clear that a proper and correct treatment of any problem situation is accomplished only when the analysis cuts across this dichotomy.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 608 pp. Englisch. Seller Inventory # 9780792399179
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