| Post-Optimal Analysis in Linear Semi-Infinite Optimization 2014 Edition Contributor(s): Goberna, Miguel A. (Author), Lopez, Marco A. (Author) |
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ISBN: 1489980431 ISBN-13: 9781489980434 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback - Other Formats Published: January 2014 |
| Additional Information |
| BISAC Categories: - Business & Economics | Operations Research - Computers | Internet - General - Computers | Programming - General |
| Dewey: 004 |
| LCCN: 2013957140 |
| Series: Springerbriefs in Optimization |
| Physical Information: 0.28" H x 6.14" W x 9.21" (0.43 lbs) 121 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |