Click Here to Download: https://ouo.io/ma6nuQ Post-Optimal Analysis in Linear Semi-Infinite Optimization By: Miguel A. Goberna; Marco A. López Publisher: Springer Print ISBN: 9781489980434, 1489980431 eText ISBN: 9781489980441, 148998044X Copyright year: 2014 Format: EPUB Available from $ 69.99 USD SKU 9781489980441 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.
