Post-Optimal Analysis in Linear Semi-Infinite Optimization [Paperback]

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.

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.

Depicts modeling uncertainty, qualitative stability analysis, quantitative stability analysis and sensitivity analysis in?relation to linear semi-infinite optimization

Emphasizes main concepts, results and technical aspects of linear semi-infinite optimization to readers in various fields

Contains recent results on the emerging quantitative stability and sensitivity theories

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