01171 a2200217 4500008004100000020001800041082001700059100001600076245008000092250001200172260002900184300001500213365001600228440007800244504006400322520047300386650002900859650002300888650002500911700001700936140323b2011 xxu||||| |||| 00| 0 eng d a9781441977281 a519.72bK2S8 aKall, Peter aStochastic linear programming: models, theory, and computationcKall, Peter a2nd ed. c2011bSpringeraNew York axx, 426 p. aEUROb96.25 aInternational Series in Operations Research & Management Science, Vol.156 aIncludes bibliographical references (p. 383-403) and index. aPeter 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. aMathematics - Statistics aLinear programming aStochastic processes aMayer, Janos