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Post-Optimal Analysis in Linear Semi-Infinite Optimization

SBO: POST-OPTIMAL ANLYS LINEAR SEMI-INFINITE OPTMZTN

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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.

POST SECONDARY FOUR YEAR

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Front Cover.
Other Frontmatter.
Title Page.
Copyright Page.
Dedication.
Preface.
Contents.
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.
References.
Index.

Post-Optimal Analysis in Linear Semi-Infinite Optimization.css-1p8rvzy{position:absolute;padding-left:8px;}

Post-Optimal Analysis in Linear Semi-Infinite Optimization