Post-Optimal Analysis in Linear Semi-Infinite Optimization
Duality theory (Mathematics)
Duality theory (Mathematics) -- fast -- (OCoLC)fst00899254
Mathematical optimization. -- fast -- (OCoLC)fst01012099
MATHEMATICS / Applied -- bisacsh
MATHEMATICS / Probability & Statistics / General -- bisacsh
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.