Abstract
Post-Optimal Analysis in Linear Semi-Infinite Optimizationexamines the following topicsin regards tolinear 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 providereaders withcriteria to choose the best way to model a given uncertain LSIO problem depending on the nature and quality of the data along withthe available software. Thiswork also contains open problems which readers will find intriguing a challenging. Post-Optimal Analysis in Linear Semi-Infinite Optimization is aimed towardresearchers, graduate and post-graduate students of mathematics interested in optimization, parametric optimization and related topics.
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