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Record Nr. |
UNINA9910299962603321 |
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Autore |
Goberna Miguel A. |
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Titolo |
Post-Optimal Analysis in Linear Semi-Infinite Optimization / / by Miguel A. Goberna, Marco A. López |
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Pubbl/distr/stampa |
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New York, NY : , : Springer New York : , : Imprint : Springer, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (x, 121 pages) : color illustrations |
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Collana |
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SpringerBriefs in Optimization, , 2191-575X |
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Disciplina |
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Soggetti |
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Operations research |
Management science |
Computer science |
Computer programming |
Computer software |
Operations Research, Management Science |
Models of Computation |
Programming Techniques |
Mathematical Software |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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"ISSN: 2190-8354." |
"ISSN: 2191-575X (electronic)." |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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