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.
Produkteigenschaften
- Artikelnummer: 9781489980434
- Medium: Buch
- ISBN: 978-1-4899-8043-4
- Verlag: Springer
- Erscheinungstermin: 07.01.2014
- Sprache(n): Englisch
- Auflage: 2014
- Serie: SpringerBriefs in Optimization
- Produktform: Kartoniert, Paperback
- Gewicht: 2357 g
- Seiten: 121
- Format (B x H x T): 155 x 235 x 8 mm
- Ausgabetyp: Kein, Unbekannt