Postoptimal Analyses Parametric Programming And Related Topics
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Postoptimal Analyses, Parametric Programming, and Related Topics
No detailed description available for "Postoptimal Analyses, Parametric Programming, and Related Topics".
Parametric Optimization and Related Topics
Author: Jürgen Guddat
language: en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date: 1987-12-31
No detailed description available for "Parametric Optimization and Related Topics".
Advances in Sensitivity Analysis and Parametric Programming
Author: Tomas Gal
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
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.