Advances in Sensitivity Analysis and Parametric Programming - Couverture rigide
Livre 8 sur 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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Advances in Sensitivity Analysis and Parametric Programming
Edité par
Springer, 1997
ISBN 10 : 079239917X
ISBN 13 : 9780792399179
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Hardcover. Etat : 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. N° de réf. du vendeur E-505-661
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Advances in Sensitivity Analysis and Parametric Programming
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Springer US, 1997
ISBN 10 : 079239917X
ISBN 13 : 9780792399179
Ancien ou d'occasion
Couverture rigide
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Etat : 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. N° de réf. du vendeur 3011550/3
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Advances in Sensitivity Analysis and Parametric Programming
Edité par
Springer US, 1997
ISBN 10 : 079239917X
ISBN 13 : 9780792399179
Ancien ou d'occasion
Couverture rigide
Vendeur : Buchpark, Trebbin, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : 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. N° de réf. du vendeur 3011550/202
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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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Vendeur : Sigrun Wuertele buchgenie_de, Altenburg, Allemagne
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Etat : 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. N° de réf. du vendeur BU314042
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Advances in Sensitivity Analysis and Parametric Programming
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Gebunden. Etat : 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. N° de réf. du vendeur 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
Edité par
Springer US Mai 1997, 1997
ISBN 10 : 079239917X
ISBN 13 : 9780792399179
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : 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. N° de réf. du vendeur 9780792399179
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Advances in Sensitivity Analysis and Parametric Programming
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Buch. Etat : Neu. Advances in Sensitivity Analysis and Parametric Programming | Tomas Gal (u. a.) | Buch | International Series in Operations Research & Management Science | 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. N° de réf. du vendeur 102548689
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Advances in Sensitivity Analysis and Parametric Programming
Edité par
Springer, Springer Mai 1997, 1997
ISBN 10 : 079239917X
ISBN 13 : 9780792399179
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : 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 KG, Sachsenplatz 4-6, 1201 Wien 608 pp. Englisch. N° de réf. du vendeur 9780792399179
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Advances in Sensitivity Analysis and Parametric Programming
Edité par
Springer, Springer, 1997
ISBN 10 : 079239917X
ISBN 13 : 9780792399179
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9780792399179
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