{"product_id":"approximation-and-solution-schemes-for-stochastic-dynamic-optimization-problems","title":"Approximation and Solution Schemes for Stochastic Dynamic Optimization Problems","description":"\u003cp\u003eOptimization and control problems often need to be formulated in a way that takes the uncertainty of the future into account in order to accurately reflect a \"good\" decision that can stand up to a variety of possible future outcomes. One way of including uncertainty in such problems treats the uncertain parameters as a random vector with an underlying probability distribution. Doing this creates a stochastic programming model which is \u003cbr\u003e\ninherently infinite dimensional, or at best extremely large, in particular when many time \u003cbr\u003e\nstages are present. In order to solve such problems, a good approximation framework is needed that encompasses various approaches such as sampling and analytical methods for various problem classes. Complementing this should be a development of solution procedures that exploit a problem's structure, for example taking advantage of convexity and decomposability wherever possible.  This dissertation addresses these key issues in four parts.\u003c\/p\u003e","brand":"Lisa A. Korf","offers":[{"title":"Paperback","offer_id":44310461513889,"sku":"9781111128007","price":32.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0462\/1120\/3233\/files\/1zmd9d57-front-shortedge-384_d80e8f2a-4c9d-40a4-b5ef-fe237ff392c9.jpg?v=1747547614","url":"https:\/\/bookswholesale.myshopify.com\/products\/approximation-and-solution-schemes-for-stochastic-dynamic-optimization-problems","provider":"BooksWholesale","version":"1.0","type":"link"}