Feasibility and Infeasibility in Optimization : Algorithms and Computational Methods
Constrained optimization models are core tools in business, science, government, and the military with applications including airline scheduling, control of petroleum refining operations, investment decisions, and many others. Constrained optimization models have grown immensely in scale and complex...
Enregistré dans:
| Hovedforfatter: | |
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| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
New York, NY :
Springer US
[20..].
Cham : Springer Nature |
| Udgivelse: | 1st ed. 2008. |
| Serier: | International Series in Operations Research & Management Science
118 |
| Fag: | |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
L'impression du document génère 282 p. Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Feasibility and infeasibility in optimization, algorithms and computational methods, John W. Chinneck,..., 1st ed., New York, Springer, 2008, 1 volume (xxi-270 pages), International series in operations research and management science, 978-0-387-74931-0 |
Indholdsfortegnelse:
- Seeking Feasibility Preliminaries Seeking Feasibility in Linear Programs Seeking Feasibility in Mixed-Integer Linear Programs A Brief Tour of Constraint Programming Seeking Feasibility in Nonlinear Programs Analyzing Infeasibility Isolating Infeasibility Finding the Maximum Feasible Subset of Linear Constraints Altering Constraints to Achieve Feasibility Applications Other Model Analyses Data Analysis Miscellaneous Applications Epilogue