{"product_id":"advances-in-sensitivity-analysis-and-parametric-programming-9781461377962","title":"Advances in Sensitivity Analysis and Parametric Programming","description":"\u003cp\u003e • Author(s): Tomas Gal\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Linear \u0026amp; Nonlinear Programming\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe 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.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45284687675543,"sku":"9781461377962","price":18362.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781461377962.webp?v=1769281931","url":"https:\/\/atlanticbooks.com\/products\/advances-in-sensitivity-analysis-and-parametric-programming-9781461377962","provider":"Atlantic Books","version":"1.0","type":"link"}