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Sinopsis
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.
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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 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.
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Post-Optimal Analysis in Linear Semi-Infinite Optimization
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Springer New York Jan 2014, 2014
ISBN 10: 1489980431
ISBN 13: 9781489980434
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 132 pp. Englisch. Nº de ref. del artículo: 9781489980434
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Post-Optimal Analysis in Linear Semi-Infinite Optimization
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Springer-Verlag New York Inc., 2014
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ISBN 13: 9781489980434
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Post-Optimal Analysis in Linear Semi-Infinite Optimization
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Springer New York, Springer US Jan 2014, 2014
ISBN 10: 1489980431
ISBN 13: 9781489980434
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Post-Optimal Analysis in Linear Semi-Infinite Optimizationexamines the following topicsin regards tolinear 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 providereaders withcriteria to choose the best way to model a given uncertainLSIO problem depending on the nature and quality of the data along withthe available software. Thiswork also contains open problems which readers will find intriguing a challenging. Post-Optimal Analysis in Linear Semi-Infinite Optimization is aimed towardresearchers, graduate and post-graduate students of mathematics interested in optimization, parametric optimization and related topics.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 132 pp. Englisch. Nº de ref. del artículo: 9781489980434
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Post-Optimal Analysis in Linear Semi-Infinite Optimization
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Springer New York, Springer US, 2014
ISBN 10: 1489980431
ISBN 13: 9781489980434
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9781489980434
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Taschenbuch. Condición: Neu. Post-Optimal Analysis in Linear Semi-Infinite Optimization | Miguel A. Goberna (u. a.) | Taschenbuch | x | Englisch | 2014 | Springer | EAN 9781489980434 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Nº de ref. del artículo: 105551122
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