Post-optimal analysis in linear semi-infinite optimization
López, Marco A., Goberna, Miguel A
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.
Catégories:
Année:
2014
Editeur::
Springer
Langue:
english
ISBN 10:
148998044X
ISBN 13:
9781489980441
Collection:
SpringerBriefs in optimization
Fichier:
PDF, 1.97 MB
IPFS:
,
english, 2014