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Cited by 8,034

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Network Flows: Theory, Algorithms, and Applications.

Smith, David K., Ahuja, Ravindra K., Magnanti, Thomas L., Orlin, James B.·1994·The Journal of the Operational Research Society

Abstract

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. presents in-depth, self-contained treatments of shortest path, maximum flow, and minimum cost flow problems, including descriptions of polynomial-time algorithms for these core models. emphasizes powerful algorithmic strategies and analysis tools such as data scaling, geometric improvement arguments, and potential function arguments. provides an easy-to-understand descriptions of several important data structures, including d-heaps, Fibonacci heaps, and dynamic trees. devotes a special chapter to conducting empirical testing of algorithms. features over 150 applications of network flows to a variety of engineering, management, and scientific domains. contains extensive reference notes and illustrations.

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Metadata

Authors
Smith, D. K., Ahuja, R. K., Magnanti, T. L., & Orlin, J. B.
Venue
The Journal of the Operational Research Society
Publisher
JSTOR
Published
1994-11
Volume
45
Issue
11
Pages
1340
ISSN
0160-5682 (ISSN-L)
OpenAlex
W1977545325
Cited by
8,034
References
0
FWCI
96.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Network Flows: Theory, Algorithms, and Applications. https://app.cochat.ai/papers/10.2307/2583863
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Smith, D. K., Ahuja, R. K., Magnanti, T. L., & Orlin, J. B. (1994). Network Flows: Theory, Algorithms, and Applications. The Journal of the Operational Research Society. https://doi.org/10.2307/2583863

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.