Post-optimal analysis in linear semi-infinite optimization /
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 wit...
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| Format: | eBook |
| Language: | English |
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New York, NY
Springer New York
2014.
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| Series: | SpringerBriefs in Optimization,
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| Subjects: | |
| Online Access: | Click here to view the full text content |
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| Summary: | 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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| Physical Description: | 1 online resource (X, 121 pages.) 22 illustrations. in colour. digital |
| ISBN: | 9781489980441 |
| ISSN: | 2190-8354 |