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Post-Optimal Analysis in Linear Semi-Infinite Optimization (Paperback, 2014)
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Post-Optimal Analysis in Linear Semi-Infinite Optimization (Paperback, 2014)
Series: SpringerBriefs in Optimization
Expected to ship within 10 - 15 working days
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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.
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