Network Flows Theory, Algorithms, and Applications
by Ahuja, Ravindra K.; Magnanti, Thomas L.; Orlin, James B.Edition: 1st
Format: Hardcover
Pub. Date: 1993-02-18
Publisher(s): Pearson
Other versions by this Author
List Price: $256.76
Buy New
Usually Ships in 2-3 Business Days
$244.53
Buy Used
Usually Ships in 24-48 Hours
$207.97
Rent Textbook
Select for Price
eTextbook
We're Sorry
Not Available
How Marketplace Works:
- This item is offered by an independent seller and not shipped from our warehouse
- Item details like edition and cover design may differ from our description; see seller's comments before ordering.
- Sellers much confirm and ship within two business days; otherwise, the order will be cancelled and refunded.
- Marketplace purchases cannot be returned to eCampus.com. Contact the seller directly for inquiries; if no response within two days, contact customer service.
- Additional shipping costs apply to Marketplace purchases. Review shipping costs at checkout.
Summary
Bringing together the classic and the contemporary aspects of the field, this comprehensive introduction to network flows provides an integrative view of theory, algorithms, and applications.It offers in-depth and self-contained treatments of shortest path, maximum flow, and minimum cost flow problems, including a description of new and novel polynomial-time algorithms for these core models.For professionals working with network flows, optimization, and network programming.
Table of Contents
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:
Appendix C: Linear Programming.
Index.
An electronic version of this book is available through VitalSource.
This book is viewable on PC, Mac, iPhone, iPad, iPod Touch, and most smartphones.
By purchasing, you will be able to view this book online, as well as download it, for the chosen number of days.
Digital License
You are licensing a digital product for a set duration. Durations are set forth in the product description, with "Lifetime" typically meaning five (5) years of online access and permanent download to a supported device. All licenses are non-transferable.
More details can be found here.
A downloadable version of this book is available through the eCampus Reader or compatible Adobe readers.
Applications are available on iOS, Android, PC, Mac, and Windows Mobile platforms.
Please view the compatibility matrix prior to purchase.