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Viser: Network Flows - Pearson New International Edition
Network Flows
Pearson New International Edition
Ravindra Ahuja, Thomas Magnanti og James Orlin
(2013)
Sprog: Engelsk
Pearson Education, Limited
888,00 kr.
799,20 kr.
3 stk på lager
Hvor kan jeg afhente varen?Detaljer om varen
- Paperback: 864 sider
- Udgiver: Pearson Education, Limited (November 2013)
- Forfattere: Ravindra Ahuja, Thomas Magnanti og James Orlin
- ISBN: 9781292042701
A comprehensive introduction to network flows that brings together the classic and the contemporary aspects of the field, and provides an integrative view of theory, algorithms, and applications.
1. Introduction.
2. Paths, Trees and Cycles.
3. Algorithm Design and Analysis.
4. Shortest Paths: Label Setting Algorithms.
5. Shortest Paths: Label Correcting Algorithms.
6. Maximum Flows: Basic Ideas.
7. Maximum Flows: Polynomial Algorithms.
8. Maximum Flows: Additional Topics.
9. Minimum Cost Flows: Basic Algorithms.
10. Minimum Cost Flows: Polynomial Algorithms.
11. Minimum Cost Flows: Network Simplex Algorithms.
12. Assignments and Matchings.
13. Minimum Spanning Trees.
14. Convex Cost Flows.
15. Generalized Flows.
16. Lagrangian Relaxation and Network Optimization.
17. Multicommodity Flows.
18. Computational Testing of Algorithms.
19. Additional Applications. Appendix A: Data Structures. Appendix B: NP-Completeness. Appendix C: Linear Programming. Index.
2. Paths, Trees and Cycles.
3. Algorithm Design and Analysis.
4. Shortest Paths: Label Setting Algorithms.
5. Shortest Paths: Label Correcting Algorithms.
6. Maximum Flows: Basic Ideas.
7. Maximum Flows: Polynomial Algorithms.
8. Maximum Flows: Additional Topics.
9. Minimum Cost Flows: Basic Algorithms.
10. Minimum Cost Flows: Polynomial Algorithms.
11. Minimum Cost Flows: Network Simplex Algorithms.
12. Assignments and Matchings.
13. Minimum Spanning Trees.
14. Convex Cost Flows.
15. Generalized Flows.
16. Lagrangian Relaxation and Network Optimization.
17. Multicommodity Flows.
18. Computational Testing of Algorithms.
19. Additional Applications. Appendix A: Data Structures. Appendix B: NP-Completeness. Appendix C: Linear Programming. Index.
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