Miguel A. Goberna, Marco A. López

Post-Optimal Analysis in Linear Semi-Infinite Optimization

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• SpringerBriefs in Optimization
• Verlag: Springer / Springer New York / Springer, Berlin
• Artikelnr. des Verlages: 978-1-4899-8043-4
• 2014
• Seitenzahl: 132
• Erscheinungstermin: 7. Januar 2014
• Englisch
• Abmessung: 235mm x 155mm x 8mm
• Gewicht: 237g
• ISBN-13: 9781489980434
• ISBN-10: 1489980431
• Artikelnr.: 39858140

Inhaltsangabe

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.