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Advances in Sensitivity Analysis and Parametric Programming. Softcover reprint of the original 1st ed. 1997
・ISBN 978-1-4613-7796-2 paper EUR 249.99
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| 著者・編者 | Gal, Tomas / Greenberg, H.J. (eds.), |
|---|---|
| シリーズ | (International Series in Operations Research & Management Science) |
| 出版社 | (Springer-Verlag New York Inc., US) |
| 出版年月 | 2012 |
| ページ数 | 581 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A04-80051＞ |
解説
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.