Advances in Sensitivity Analysis and Parametric Programming

Tomas Gal, H. J. Greenberg

ISBN 10: 079239917X / ISBN 13: 9780792399179

Published by Kluwer Academic Publishers, 1997

About this Item

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.

Seller Inventory # BU314042

Bibliographic Details

• Title: Advances in Sensitivity Analysis and Parametric Programming
• Publisher: Kluwer Academic Publishers
• Publication Date: 1997
• Language: English
• ISBN 10: 079239917X
• ISBN 13: 9780792399179
• Binding: Hardcover
• Condition: Sehr gut - gebraucht
• Seller catalogs:
  • Ratgeber

About this title

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.

Review

`... well-organized book can be highly recommended to all who are engaged in operations research and decision making with incomplete information and/or multiple criteria. I do not hesitate to congratulate the two editors on their excellent work.'
OR Spektrum, 22 (2000)