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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science

• Full title: Post-Optimal Analysis in Linear Semi-Infinite Optimization, 1
• Author: Miguel A. Goberna, Marco A. López
• Language: English
• Binding: Paperback
• Number of pages: 119
• EAN: 9781489980434
• ISBN: 1489980431
• ID: 02227651
• Publisher: Springer, Berlin
• Weight: 210 g
• Dimensions: 235 × 155 × 7 mm
• Date of publishing: 07. January 2014

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