Data & IT
Pocket
Post-Optimal Analysis in Linear Semi-Infinite Optimization
Miguel A Goberna • Marco A Lpez
759:-
Uppskattad leveranstid 7-12 arbetsdagar
Fri frakt för medlemmar vid köp för minst 249:-
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.
- Format: Pocket/Paperback
- ISBN: 9781489980434
- Språk: Engelska
- Antal sidor: 121
- Utgivningsdatum: 2014-01-07
- Förlag: Springer-Verlag New York Inc.