Authors:
- Depicts modeling uncertainty, qualitative stability analysis, quantitative stability analysis and sensitivity analysis in relation to linear semi-infinite optimization
- Emphasizes main concepts, results and technical aspects of linear semi-infinite optimization to readers in various fields
- Contains recent results on the emerging quantitative stability and sensitivity theories
Part of the book series: SpringerBriefs in Optimization (BRIEFSOPTI)
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Table of contents (6 chapters)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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Statistics and Operations Research, University of Alicante, Alicante, Spain
Miguel A. Goberna, Marco A. López
Bibliographic Information
Book Title: Post-Optimal Analysis in Linear Semi-Infinite Optimization
Authors: Miguel A. Goberna, Marco A. López
Series Title: SpringerBriefs in Optimization
DOI: https://doi.org/10.1007/978-1-4899-8044-1
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Miguel A. Goberna, Marco A. Lopez 2014
Softcover ISBN: 978-1-4899-8043-4Published: 07 January 2014
eBook ISBN: 978-1-4899-8044-1Published: 06 January 2014
Series ISSN: 2190-8354
Series E-ISSN: 2191-575X
Edition Number: 1
Number of Pages: X, 121
Number of Illustrations: 22 illustrations in colour
Topics: Operations Research, Management Science, Models and Principles, Programming Techniques, Mathematical Software