Post-Optimal Analysis in Linear Semi-Infinite Optimization
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Post-Optimal Analysis in Linear Semi-Infinite Optimization

Post-Optimal Analysis in Linear Semi-Infinite Optimization


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About the Book

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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Product Details
  • ISBN-13: 9781489980434
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Depth: 13
  • Language: English
  • Returnable: Y
  • Spine Width: 7 mm
  • Width: 156 mm
  • ISBN-10: 1489980431
  • Publisher Date: 07 Jan 2014
  • Binding: Paperback
  • Height: 234 mm
  • No of Pages: 121
  • Series Title: Springerbriefs in Optimization
  • Weight: 245 gr


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