{"product_id":"modeling-with-stochastic-programming-hardcover","title":"Modeling with Stochastic Programming - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eAlan J. King\u003c\/b\u003e (Author), \u003cb\u003eStein W. Wallace\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis is an updated version of what is still the only text to address basic questions about how to \u003ci\u003emodel \u003c\/i\u003euncertainty in mathematical programming, including how to reformulate a deterministic model so that it can be analyzed in a stochastic setting. This second edition has important extensions regarding how to represent random phenomena in the models (also called scenario generation) as well as a new chapter on multi-stage models.\u003c\/p\u003e \u003cp\u003eThis text would be suitable as a stand-alone or supplement for a second course in OR\/MS or in optimization-oriented engineering disciplines where the instructor wants to explain where models come from and what the fundamental modeling issues are. \u003c\/p\u003e\u003cp\u003eThe book is easy-to-read, highly illustrated with lots of examples and discussions. It will be suitable for graduate students and researchers working in operations research, mathematics, engineering and related departments where there is interest in learning how to \u003ci\u003emodel \u003c\/i\u003euncertainty.\u003c\/p\u003e \u003cp\u003eAlan King is a Research Staff Member at IBM's Thomas J. Watson Research Center in New York.\u003c\/p\u003e \u003cp\u003eStein W. Wallace is a Professor of Operational Research and head of Center for Shipping and Logistics at NHH Norwegian School of Economics, Bergen, Norway.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis is an updated version of what is still the only text to address basic questions about how to \u003ci\u003emodel \u003c\/i\u003euncertainty in mathematical programming, including how to reformulate a deterministic model so that it can be analyzed in a stochastic setting. This second edition has important extensions regarding how to represent random phenomena in the models (also called scenario generation) as well as a new chapter on multi-stage models.\u003c\/p\u003e\u003cp\u003eThis text would be suitable as a stand-alone or supplement for a second course in OR\/MS or in optimization-oriented engineering disciplines where the instructor wants to explain where models come from and what the fundamental modeling issues are. \u003c\/p\u003eThe book is easy-to-read, highly illustrated with lots of examples and discussions. It will be suitable for graduate students and researchers working in operations research, mathematics, engineering and related departments where there is interest in learning how to \u003ci\u003emodel \u003c\/i\u003euncertainty.\u003cp\u003e\u003c\/p\u003e\u003cp\u003eAlan King is a Research Staff Member at IBM's Thomas J. Watson Research Center in New York.\u003c\/p\u003e\u003cp\u003eStein W. Wallace is a Professor of Operational Research and head of Center for Shipping and Logistics at NHH Norwegian School of Economics, Bergen, Norway.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eAlan King is a Research Staff Member at IBM's Thomas J. Watson Research Center in New York.\u003c\/p\u003e\u003cp\u003eStein W. Wallace is a Professor of Operational Research and head of Center for Shipping and Logistics at NHH Norwegian School of Economics, Bergen, Norway.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 202\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.56 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 01, 2024\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47207338115321,"sku":"9783031545498","price":121.48,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/4uPS6RPPo69783031545498.webp?v=1768043983","url":"https:\/\/bookscloud.io\/products\/modeling-with-stochastic-programming-hardcover","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}