Post-Optimal Analysis in Linear Semi-Infinite Optimization
- 種類:
- 電子ブック
- 責任表示:
- by Miguel A. Goberna, Marco A. López
- 出版情報:
- New York, NY : Springer New York : Imprint: Springer, 2014
- 著者名:
- シリーズ名:
- SpringerBriefs in Optimization ;
- ISBN:
- 9781489980441 [148998044X]
- 注記:
- 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
- ローカル注記:
- 学内専用E-BOOKS (local access only)
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