Overview
Post-Optimal Analysis in Linear Semi-Infinite Optimization\xa0examines the following topics\xa0in regards to\xa0linear 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.\xa0The authors compare the post-optimal analysis with alternative approaches to uncertain LSIO problems and provide\xa0readers with\xa0criteria to choose the best way to model a given uncertain\xa0LSIO problem depending on the nature and quality of the data along with\xa0the available software. This\xa0work also contains open problems which readers will find intriguing a challenging. Post-Optimal Analysis in Linear Semi-Infinite Optimization is aimed toward\xa0researchers, graduate and post-graduate students of mathematics interested in optimization, parametric optimization and related topics.
