Stochastic linear programming: models, theory, and computation Kall, Peter
Series: International Series in Operations Research & Management Science, Vol.156Publication details: 2011 Springer New YorkEdition: 2nd edDescription: xx, 426 pISBN:- 9781441977281
- 519.72 K2S8
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|
![]() |
Ahmedabad | Non-fiction | 519.72 K2S8 (Browse shelf(Opens below)) | Available | 178578 |
Includes bibliographical references (p. 383-403) and index.
Peter Kall and Janos Mayer are distinguished scholars and professors of Operations Research and their research interest is particularly devoted to the area of stochastic optimization. Stochastic Linear Programming is a definitive presentation and discussion of the theoretical properties of the models, the conceptual algorithmic approaches, and the computational issues relating to the implementation of these methods to solve problems that are stochastic in nature.
There are no comments on this title.