9781461377962 - advances in sensitivity analysis and parametric programming: 6 (international series in operations research & management science) (5 resultados)
Idioma: Inglés
Editorial: Springer 2012
Serie: International Series in Operations Research & Management Science, Libro 8 de 323. Libro 8 de 323 - International Series in Operations Research & Management Science
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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Condición: New. In.
Idioma: Inglés
Editorial: Springer Us 2012
Serie: International Series in Operations Research & Management Science, Libro 8 de 323. Libro 8 de 323 - International Series in Operations Research & Management Science
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Taschenbuch. Condición: Neu. Advances in Sensitivity Analysis and Parametric Programming | Tomas Gal (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2012 | Springer Us | EAN 9781461377962 | Verantwortliche Person für die EU: Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg, productsaf…ety[at]springernature[dot]com | Anbieter: preigu.
Idioma: Inglés
Editorial: Springer Us 2012
Serie: International Series in Operations Research & Management Science, Libro 8 de 323. Libro 8 de 323 - International Series in Operations Research & Management Science
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: 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.
Idioma: Inglés
Editorial: Springer US 2012
Serie: International Series in Operations Research & Management Science, Libro 8 de 323. Libro 8 de 323 - International Series in Operations Research & Management Science
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Librería: moluna, Greven, Alemaniamoluna
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Condición: New. 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.
Idioma: Inglés
Editorial: Springer US Okt 2012 2012
Serie: International Series in Operations Research & Management Science, Libro 8 de 323. Libro 8 de 323 - International Series in Operations Research & Management Science
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: 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.
