Flows in Networks (Princeton Landmarks in Mathematics and Physics)
| Author | : | |
| Rating | : | 4.48 (774 Votes) |
| Asin | : | 0691146675 |
| Format Type | : | paperback |
| Number of Pages | : | 216 Pages |
| Publish Date | : | 2014-08-11 |
| Language | : | English |
DESCRIPTION:
Ryser, Management Science"The book stands as the principal work on network flow theory. "Flows in Networks should be of great value to the expert and a standard reference source for many years to come."--H. J. Newhouse, Computing Review. Its authors have performed almost as great a service in preparing this volume for publication as they did in originally developing much of its contents."--Ronald A. Howard, Proceedings of the IEEE"The book should be of value not only to those interested in linear programming but also those who are concerned with graph theory."--Arthur Ziffer, Physics Today"The book is a natural meeting ground for persons interested in communication engineering or combinatorial mathematics."--Journal of
and the Rand Corporation before his retirement. D. . R. Fulkerson (1924-1976) was a mathematician at the Rand Corporation and, later, Cornell University. R. L. Ford, Jr., worked as a researcher for both CEIR Inc
not for beginners This is a classic, but it is densely type-scripted and difficult to read. I am a relative newcomer to the topic of network flows but this book was a wrong choice for an introduction to the subject.
In this classic book, first published in 1962, L. This landmark work belongs on the bookshelf of every researcher working with networks.. Ford, Jr., and D. The models and algorithms introduced in Flows in Networks are used widely today in the fields of transportation systems, manufacturing, inventory planning, image processing, and Internet traffic. Flows in Networks is rich with insights that remain relevant to current research in engineering, management, and other sciences. R. The techniques presented by Ford and Fulkerson spurred the development of powerful computational tools for solving and analyzing network flow models, and also furthered the understanding of lin