{"product_id":"9781489980434","title":"SpringerBriefs in Optimization","description":"\u003ch1\u003eSpringerBriefs in Optimization\u003c\/h1\u003e \u003ch2\u003eGoberna, Miguel A.; López, Marco A.\u003c\/h2\u003e \u003cp\u003e\u003ci\u003ePost-Optimal Analysis in Linear Semi-Infinite Optimization\u003c\/i\u003e examines the following topics in regards to linear semi-infinite optimization: modeling uncertainty, qualitative stability analysis, quantitative stability analysis and sensitivity analysis. Linear semi-infinite optimization (LSIO) deals with linear optimization problems where the dimension of the decision space or the number of constraints is infinite. The authors compare the post-optimal analysis with alternative approaches to uncertain LSIO problems and provide readers with criteria to choose the best way to model a given uncertain LSIO problem depending on the nature and quality of the data along with the available software. This work also contains open problems which readers will find intriguing a challenging. Post-Optimal Analysis in Linear Semi-Infinite Optimization is aimed toward researchers, graduate and post-graduate students of mathematics interested in optimization, parametric optimization and related topics.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2014-01-07\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9781489980434\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-1-4899-8044-1\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 121\u003c\/p\u003e ","brand":"Springer New York","offers":[{"title":"Default Title","offer_id":44807019004044,"sku":"9781489980434","price":49.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781489980434.jpg?v=1775790191","url":"https:\/\/lateknightbooks.com\/products\/9781489980434","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}