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Post-optimal analysis in linear semi-infinite optimization / / Miguel A. Goberna, Marco A. Lopez



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Autore: Goberna Miguel A Visualizza persona
Titolo: Post-optimal analysis in linear semi-infinite optimization / / Miguel A. Goberna, Marco A. Lopez Visualizza cluster
Pubblicazione: New York : , : Springer, , 2014
Edizione: 1st ed. 2014.
Descrizione fisica: 1 online resource (x, 121 pages) : color illustrations
Disciplina: 004
Soggetto topico: Mathematical optimization
Persona (resp. second.): LopezMarco A.
Note generali: "ISSN: 2190-8354."
"ISSN: 2191-575X (electronic)."
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: 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.
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 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.
Titolo autorizzato: Post-Optimal Analysis in Linear Semi-Infinite Optimization  Visualizza cluster
ISBN: 1-4899-8044-X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910299962603321
Lo trovi qui: Univ. Federico II
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Serie: SpringerBriefs in optimization.