Advances in Sensitivity Analysis and Parametric Programming (eBook, PDF)

Redaktion: Gal, Tomas; Greenberg, H. J.

• Format: PDF

Produktbeschreibung

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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer US
• Seitenzahl: 581
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9781461561033
• Artikelnr.: 44180064

Inhaltsangabe

1. A Historical Sketch on Sensitivity Analysis and Parametric Programming.- 2. A Systems Perspective: Entity Set Graphs.- 3. Linear Programming 1: Basic Principles.- 4. Linear Programming 2: Degeneracy Graphs.- 5. Linear Programming 3: The Tolerance Approach.- 6. The Optimal Set and Optimal Partition Approach.- 7. Network Models.- 8. Qualitative Sensitivity Analysis.- 9. Integer and Mixed-Integer Programming.- 10. Nonlinear Programming.- 11. Multi-Criteria and Goal Programming.- 12. Stochastic Programming and Robust Optimization.- 13. Redundancy.- 14. Feasibility and Viability.- 15. Fuzzy Mathematical Programming.

Rezensionen

`... 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)

`... 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)