Post-Optimal Analysis in Linear Semi-Infinite Optimization
Produktnummer:
18b61f1d737a9e4ad0a0033a5c16eee78d
| Autor: | Goberna, Miguel A. López, Marco A. |
|---|---|
| Themengebiete: | Linear optimization Parametric optimization Semi-infinite optimization Sensitivity analysis Stability analysis Uncertain optimization |
| Veröffentlichungsdatum: | 07.01.2014 |
| EAN: | 9781489980434 |
| Sprache: | Englisch |
| Seitenzahl: | 121 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Springer US |
Produktinformationen "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 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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