Name: Post-Optimal Analysis in Linear Semi-Infinite Optimization (Springerbriefs in Optimization) (en Inglés)
Price: 172394.00 COP
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Author: Miguel A. Goberna; Marco A. Lopez
ISBN: 9781489980434

portada Post-Optimal Analysis in Linear Semi-Infinite Optimization (Springerbriefs in Optimization) (en Inglés)

Post-Optimal Analysis in Linear Semi-Infinite Optimization (Springerbriefs in Optimization) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Miguel A. Goberna; Marco A. Lopez

Año

2014

Idioma

Inglés

N° páginas

132

Encuadernación

Tapa Blanda

ISBN13

9781489980434

N° edición

2014

Categorías

Investigación operativa

Post-Optimal Analysis in Linear Semi-Infinite Optimization (Springerbriefs in Optimization) (en Inglés)

Miguel A. Goberna; Marco A. Lopez (Autor) · Springer · Tapa Blanda

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Reseña del libro "Post-Optimal Analysis in Linear Semi-Infinite Optimization (Springerbriefs in Optimization) (en Inglés)"

Post-Optimal Analysis in Linear Semi-Infinite Optimization examines the following topics in regards to linear semi-infinite optimization: modeling uncertainty, qualitative stability analysisPost-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. Theauthors 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 andquality 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 aimedtoward researchers, graduate and post-graduate students of mathematics interested in optimization, parametric optimization and related topics.