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Englisch
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Beschreibung
1. Problem Solving with Mathematical Models.
2. Deterministic Optimization Models in Operations Research.
3. Improving Search.
4. Linear Programming Models.
5. Simplex Search for Linear Programming.
6. Interior Point Methods for Linear Programming.
7. Duality and Sensitivity in Linear Programming.
8. Multiobjective Optimization and Goal Programming.
9. Shortest Path and Discrete Dynamic Programming.
10. Network Flows.
11. Discrete Optimization Models.
12. Discrete Optimization Methods.
13. Unconstrained Nonlinear Programming.
14. Constrained Nonlinear Programming.
2. Deterministic Optimization Models in Operations Research.
3. Improving Search.
4. Linear Programming Models.
5. Simplex Search for Linear Programming.
6. Interior Point Methods for Linear Programming.
7. Duality and Sensitivity in Linear Programming.
8. Multiobjective Optimization and Goal Programming.
9. Shortest Path and Discrete Dynamic Programming.
10. Network Flows.
11. Discrete Optimization Models.
12. Discrete Optimization Methods.
13. Unconstrained Nonlinear Programming.
14. Constrained Nonlinear Programming.
1. Problem Solving with Mathematical Models.
2. Deterministic Optimization Models in Operations Research.
3. Improving Search.
4. Linear Programming Models.
5. Simplex Search for Linear Programming.
6. Interior Point Methods for Linear Programming.
7. Duality and Sensitivity in Linear Programming.
8. Multiobjective Optimization and Goal Programming.
9. Shortest Path and Discrete Dynamic Programming.
10. Network Flows.
11. Discrete Optimization Models.
12. Discrete Optimization Methods.
13. Unconstrained Nonlinear Programming.
14. Constrained Nonlinear Programming.
2. Deterministic Optimization Models in Operations Research.
3. Improving Search.
4. Linear Programming Models.
5. Simplex Search for Linear Programming.
6. Interior Point Methods for Linear Programming.
7. Duality and Sensitivity in Linear Programming.
8. Multiobjective Optimization and Goal Programming.
9. Shortest Path and Discrete Dynamic Programming.
10. Network Flows.
11. Discrete Optimization Models.
12. Discrete Optimization Methods.
13. Unconstrained Nonlinear Programming.
14. Constrained Nonlinear Programming.
Details
| Erscheinungsjahr: | 2013 |
|---|---|
| Medium: | Taschenbuch |
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9781292042473 |
| ISBN-10: | 1292042478 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Rardin, Ronald |
| Auflage: | Pearson New International Edition |
| Hersteller: | Pearson Education Limited |
| Verantwortliche Person für die EU: | preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de |
| Abbildungen: | illustrations (black and white) |
| Maße: | 236 x 181 x 53 mm |
| Von/Mit: | Ronald Rardin |
| Erscheinungsdatum: | 01.11.2013 |
| Gewicht: | 1,606 kg |
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