A computationally oriented comparison of solution algorithms for two stage and jointly chance constrained stochastic linear programming problems, this is the first book to present comparative computational results with several major stochastic programming solution approaches. The following methods are considered: regularized decomposition, stochastic decomposition and successive discrete approximation methods for two stage problems; cutting plane methods, and a reduced gradient method for jointly chance constrained problems. The first part of the book introduces the algorithms, including a unified approach to decomposition methods and their regularized counterparts. The second part addresses computer implementation of the methods, describes a testing environment based on a model management system, and presents comparative computational results with the various algorithms. Emphasis is on the computational behavior of the algorithms.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Janos Mayer
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
GRATIS per la spedizione in U.S.A.
Destinazione, tempi e costiDa: Zubal-Books, Since 1961, Cleveland, OH, U.S.A.
Condizione: Very Good. *FREE DOMESTIC SHIPPING until Monday, Sept. 22* 163 pp., Hardcover, very good. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Codice articolo ZB777056
Quantità: 1 disponibili
Da: Der Buchfreund, Wien, Austria
Original-Pappband. Condizione: Sehr gut. 4 Original-Pappband en Mathematik, Naturwissenschaften (Optimization Theory and Applications. Vol. 1); IX pp., 153 pp. Codice articolo 1057
Quantità: 1 disponibili