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[null,"1.","Record Nr.",null,"UNINA9910299962603321"]
[null,null,"Autore",null,"Goberna Miguel A."]
[null,null,"Titolo",null,"Post-Optimal Analysis in Linear Semi-Infinite Optimization / / by Miguel A. Goberna, Marco A. López"]
[null,null,"Pubbl/distr/stampa",null,"New York, NY : , : Springer New York : , : Imprint : Springer, , 2014"]
[null,null,"ISBN",null,"9781489980441"]
[{"$nulls":4},"148998044X"]
[null,null,"Edizione",null,"[1st ed. 2014.]"]
[null,null,"Descrizione fisica",null,"1 online resource (x, 121 pages) : color illustrations"]
[null,null,"Collana",null,"SpringerBriefs in Optimization, , 2191-575X"]
[null,null,"Disciplina",null,"004"]
[null,null,"Soggetti",null,"Operations research"]
[{"$nulls":4},"Management science"]
[{"$nulls":4},"Computer science"]
[{"$nulls":4},"Computer programming"]
[{"$nulls":4},"Computer software"]
[{"$nulls":4},"Operations Research, Management Science"]
[{"$nulls":4},"Models of Computation"]
[{"$nulls":4},"Programming Techniques"]
[{"$nulls":4},"Mathematical Software"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","\"ISSN: 2190-8354.\""]
[{"$nulls":4},"\"ISSN: 2191-575X (electronic).\""]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"1. Preliminaries on Linear Semi-Infinite Optimization -- 2. Modeling uncertain Linear Semi-Infinite Optimization problems -- 3. Robust Linear Semi-infinite Optimization -- 4. Sensitivity analysis -- 5. Qualitative stability analysis -- 6. Quantitative stability analysis."]
[null,null,null,"Sommario/riassunto","Post-Optimal Analysis in Linear Semi-Infinite Optimization 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 "]
[{"$nulls":4},"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."]